KenN7/gist:8e835334a669599b42c4144d3e68f617

## gistfile1.txt
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "-22a7vOgx60v",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-22a7vOgx60v",
    "outputId": "0a8e69e8-ef44-4bff-a7d2-48f6987ca05f"
   },
   "outputs": [],
   "source": [
    "!pip install torchinfo pytorch-msssim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "880b2e7e-d984-4336-bb87-510bc4a70602",
   "metadata": {
    "id": "880b2e7e-d984-4336-bb87-510bc4a70602",
    "tags": []
   },
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "import numpy as np\n",
    "from PIL import Image, ImageDraw, ImageOps\n",
    "\n",
    "import torch\n",
    "from torch import nn\n",
    "import torch.nn.functional as F\n",
    "from torch.utils.data import DataLoader, random_split, WeightedRandomSampler\n",
    "from torchvision import datasets, transforms\n",
    "from torchvision.transforms import v2\n",
    "\n",
    "from pytorch_msssim import ssim, ms_ssim, SSIM, MS_SSIM\n",
    "from torchinfo import summary\n",
    "\n",
    "import sklearn.metrics as skmetrics\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "_dzWw4U5x_ti",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_dzWw4U5x_ti",
    "outputId": "4244cb82-7d8f-4d68-cf30-9894fbaaccb8"
   },
   "outputs": [],
   "source": [
    "!wget https://www.mydrive.ch/shares/38536/3830184030e49fe74747669442f0f282/download/420937545-1629951845/hazelnut.tar.xz\n",
    "!tar -xf hazelnut.tar.xz\n",
    "\n",
    "# !wget https://www.mydrive.ch/shares/38536/3830184030e49fe74747669442f0f282/download/420937454-1629951595/capsule.tar.xz\n",
    "# !tar -xf capsule.tar.xz\n",
    "\n",
    "# https://www.mydrive.ch/shares/38536/3830184030e49fe74747669442f0f282/download/420937484-1629951672/carpet.tar.xz\n",
    "# https://www.mydrive.ch/shares/38536/3830184030e49fe74747669442f0f282/download/420937607-1629951964/leather.tar.xz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a1efa69f-2142-4894-8107-676eb627d546",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "a1efa69f-2142-4894-8107-676eb627d546",
    "outputId": "0b2c1d86-a77e-4166-bdf6-b18f0f9e0dc1",
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset ImageFolder\n",
      "    Number of datapoints: 391\n",
      "    Root location: hazelnut/train/\n",
      "    StandardTransform\n",
      "Transform: Compose(\n",
      "                 Grayscale(num_output_channels=1)\n",
      "                 RandomHorizontalFlip(p=0.5)\n",
      "                 RandomVerticalFlip(p=0.5)\n",
      "                 RandomAffine(degrees=[0.0, 0.0], translate=(0.15, 0.15), interpolation=InterpolationMode.NEAREST, fill=0)\n",
      "                 RandomResizedCrop(size=(256, 256), scale=(0.08, 0.7), ratio=(1, 1), interpolation=InterpolationMode.BILINEAR, antialias=warn)\n",
      "                 ToImageTensor()\n",
      "                 ConvertDtype()\n",
      "           )\n",
      "{'good': 0}\n",
      "Dataset ImageFolder\n",
      "    Number of datapoints: 110\n",
      "    Root location: hazelnut/test/\n",
      "    StandardTransform\n",
      "Transform: Compose(\n",
      "                 Grayscale(num_output_channels=1)\n",
      "                 RandomHorizontalFlip(p=0.5)\n",
      "                 RandomVerticalFlip(p=0.5)\n",
      "                 RandomAffine(degrees=[0.0, 0.0], translate=(0.15, 0.15), interpolation=InterpolationMode.NEAREST, fill=0)\n",
      "                 RandomResizedCrop(size=(256, 256), scale=(0.08, 0.7), ratio=(1, 1), interpolation=InterpolationMode.BILINEAR, antialias=warn)\n",
      "                 ToImageTensor()\n",
      "                 ConvertDtype()\n",
      "           )\n",
      "{'crack': 0, 'cut': 1, 'good': 2, 'hole': 3, 'print': 4}\n",
      "[18 17 40 18 17]\n",
      "sample to draw: 110\n"
     ]
    }
   ],
   "source": [
    "transform = v2.Compose([v2.Grayscale(),\n",
    "                        v2.RandomHorizontalFlip(),\n",
    "                        v2.RandomVerticalFlip(),\n",
    "                        v2.RandomAffine(degrees=0, translate=(0.15, 0.15)),\n",
    "                        v2.RandomResizedCrop((256,256), ratio=(1,1), scale=(0.08,0.7)),\n",
    "                        v2.ToImageTensor(),  # Convert to tensor, only needed if you had a PIL image\n",
    "                        v2.ConvertImageDtype(),\n",
    "                        ])\n",
    "\n",
    "train_dataset = datasets.ImageFolder('hazelnut/train/', transform=transform)\n",
    "print(train_dataset)\n",
    "print(train_dataset.class_to_idx)\n",
    "\n",
    "test_dataset = datasets.ImageFolder('hazelnut/test/', transform=transform)\n",
    "print(test_dataset)\n",
    "print(test_dataset.class_to_idx)\n",
    "\n",
    "#y_test_indices = test_dataset.indices\n",
    "y_test = [y for t,y in test_dataset]\n",
    "\n",
    "class_sample_count_test = np.array(\n",
    "    [len(np.where(y_test == t)[0]) for t in np.unique(y_test)])\n",
    "print(class_sample_count_test)\n",
    "\n",
    "weight = 1. / class_sample_count_test\n",
    "samples_weight = np.array([weight[t] for t in y_test])\n",
    "samples_weight_test = torch.from_numpy(samples_weight)\n",
    "print(\"sample to draw:\",len(samples_weight))\n",
    "\n",
    "test_sampler = WeightedRandomSampler(samples_weight_test, len(samples_weight), replacement=True)\n",
    "\n",
    "batch_size = 16\n",
    "\n",
    "kwargs = {'num_workers': 3, 'pin_memory': True} if torch.cuda.is_available() else {}\n",
    "\n",
    "train_dataloader = torch.utils.data.DataLoader(train_dataset, batch_size=batch_size, **kwargs)\n",
    "test_dataloader = torch.utils.data.DataLoader(test_dataset, batch_size=batch_size, sampler=test_sampler, **kwargs)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e9ae3d1b-b518-40af-84d4-1bae2e55db3a",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 487
    },
    "id": "e9ae3d1b-b518-40af-84d4-1bae2e55db3a",
    "outputId": "31841d77-fb69-4663-cf9c-4dde1fbc4cfc",
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature batch shape: torch.Size([16, 1, 256, 256])\n",
      "Labels batch shape: torch.Size([16])\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 3000x400 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display image and label.\n",
    "train_features, train_labels = next(iter(train_dataloader))\n",
    "print(f\"Feature batch shape: {train_features.size()}\")\n",
    "print(f\"Labels batch shape: {train_labels.size()}\")\n",
    "\n",
    "#img = train_features[0]\n",
    "#label = train_labels[0]\n",
    "\n",
    "#plt.imshow(image_to_show.squeeze().T)\n",
    "fig, axes = plt.subplots(1, len(train_features), sharex=True, sharey=True, figsize=(30, 4))\n",
    "\n",
    "for i in range(len(train_features)):\n",
    "    axes[i].imshow(train_features[i].squeeze())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "52f37b7b-5007-40e5-87af-4e82022b10dc",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "52f37b7b-5007-40e5-87af-4e82022b10dc",
    "outputId": "a2f94b78-eb70-452c-eb5b-66ca4d7b2199",
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using cuda device\n",
      "Autoencoder(\n",
      "  (encode): Sequential(\n",
      "    (0): Sequential(\n",
      "      (0): Conv2d(1, 16, kernel_size=(5, 5), stride=(2, 2), padding=(2, 2))\n",
      "      (1): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "    )\n",
      "    (1): Sequential(\n",
      "      (0): Conv2d(16, 32, kernel_size=(5, 5), stride=(2, 2), padding=(2, 2))\n",
      "      (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "    )\n",
      "    (2): Sequential(\n",
      "      (0): Conv2d(32, 64, kernel_size=(5, 5), stride=(2, 2), padding=(2, 2))\n",
      "      (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "    )\n",
      "    (3): Sequential(\n",
      "      (0): Conv2d(64, 128, kernel_size=(5, 5), stride=(2, 2), padding=(2, 2))\n",
      "      (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "    )\n",
      "    (4): Sequential(\n",
      "      (0): Conv2d(128, 256, kernel_size=(5, 5), stride=(2, 2), padding=(2, 2))\n",
      "      (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "    )\n",
      "    (5): Sequential(\n",
      "      (0): Conv2d(256, 512, kernel_size=(5, 5), stride=(2, 2), padding=(2, 2))\n",
      "      (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "    )\n",
      "  )\n",
      "  (decode): Sequential(\n",
      "    (0): Upsample(scale_factor=2.0, mode='bilinear')\n",
      "    (1): Sequential(\n",
      "      (0): Conv2d(512, 256, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n",
      "      (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "      (3): Upsample(scale_factor=2.0, mode='bilinear')\n",
      "    )\n",
      "    (2): Sequential(\n",
      "      (0): Conv2d(256, 128, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n",
      "      (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "      (3): Upsample(scale_factor=2.0, mode='bilinear')\n",
      "    )\n",
      "    (3): Sequential(\n",
      "      (0): Conv2d(128, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n",
      "      (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "      (3): Upsample(scale_factor=2.0, mode='bilinear')\n",
      "    )\n",
      "    (4): Sequential(\n",
      "      (0): Conv2d(64, 32, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n",
      "      (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "      (3): Upsample(scale_factor=2.0, mode='bilinear')\n",
      "    )\n",
      "    (5): Sequential(\n",
      "      (0): Conv2d(32, 16, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n",
      "      (1): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "      (2): LeakyReLU(negative_slope=0.2)\n",
      "      (3): Upsample(scale_factor=2.0, mode='bilinear')\n",
      "    )\n",
      "    (6): Conv2d(16, 1, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n",
      "    (7): Sigmoid()\n",
      "  )\n",
      ")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "==========================================================================================\n",
       "Layer (type:depth-idx)                   Output Shape              Param #\n",
       "==========================================================================================\n",
       "Autoencoder                              [16, 1, 256, 256]         --\n",
       "├─Sequential: 1-1                        [16, 512, 4, 4]           --\n",
       "│    └─Sequential: 2-1                   [16, 16, 128, 128]        --\n",
       "│    │    └─Conv2d: 3-1                  [16, 16, 128, 128]        416\n",
       "│    │    └─BatchNorm2d: 3-2             [16, 16, 128, 128]        32\n",
       "│    │    └─LeakyReLU: 3-3               [16, 16, 128, 128]        --\n",
       "│    └─Sequential: 2-2                   [16, 32, 64, 64]          --\n",
       "│    │    └─Conv2d: 3-4                  [16, 32, 64, 64]          12,832\n",
       "│    │    └─BatchNorm2d: 3-5             [16, 32, 64, 64]          64\n",
       "│    │    └─LeakyReLU: 3-6               [16, 32, 64, 64]          --\n",
       "│    └─Sequential: 2-3                   [16, 64, 32, 32]          --\n",
       "│    │    └─Conv2d: 3-7                  [16, 64, 32, 32]          51,264\n",
       "│    │    └─BatchNorm2d: 3-8             [16, 64, 32, 32]          128\n",
       "│    │    └─LeakyReLU: 3-9               [16, 64, 32, 32]          --\n",
       "│    └─Sequential: 2-4                   [16, 128, 16, 16]         --\n",
       "│    │    └─Conv2d: 3-10                 [16, 128, 16, 16]         204,928\n",
       "│    │    └─BatchNorm2d: 3-11            [16, 128, 16, 16]         256\n",
       "│    │    └─LeakyReLU: 3-12              [16, 128, 16, 16]         --\n",
       "│    └─Sequential: 2-5                   [16, 256, 8, 8]           --\n",
       "│    │    └─Conv2d: 3-13                 [16, 256, 8, 8]           819,456\n",
       "│    │    └─BatchNorm2d: 3-14            [16, 256, 8, 8]           512\n",
       "│    │    └─LeakyReLU: 3-15              [16, 256, 8, 8]           --\n",
       "│    └─Sequential: 2-6                   [16, 512, 4, 4]           --\n",
       "│    │    └─Conv2d: 3-16                 [16, 512, 4, 4]           3,277,312\n",
       "│    │    └─BatchNorm2d: 3-17            [16, 512, 4, 4]           1,024\n",
       "│    │    └─LeakyReLU: 3-18              [16, 512, 4, 4]           --\n",
       "├─Sequential: 1-2                        [16, 1, 256, 256]         --\n",
       "│    └─Upsample: 2-7                     [16, 512, 8, 8]           --\n",
       "│    └─Sequential: 2-8                   [16, 256, 16, 16]         --\n",
       "│    │    └─Conv2d: 3-19                 [16, 256, 8, 8]           3,277,056\n",
       "│    │    └─BatchNorm2d: 3-20            [16, 256, 8, 8]           512\n",
       "│    │    └─LeakyReLU: 3-21              [16, 256, 8, 8]           --\n",
       "│    │    └─Upsample: 3-22               [16, 256, 16, 16]         --\n",
       "│    └─Sequential: 2-9                   [16, 128, 32, 32]         --\n",
       "│    │    └─Conv2d: 3-23                 [16, 128, 16, 16]         819,328\n",
       "│    │    └─BatchNorm2d: 3-24            [16, 128, 16, 16]         256\n",
       "│    │    └─LeakyReLU: 3-25              [16, 128, 16, 16]         --\n",
       "│    │    └─Upsample: 3-26               [16, 128, 32, 32]         --\n",
       "│    └─Sequential: 2-10                  [16, 64, 64, 64]          --\n",
       "│    │    └─Conv2d: 3-27                 [16, 64, 32, 32]          204,864\n",
       "│    │    └─BatchNorm2d: 3-28            [16, 64, 32, 32]          128\n",
       "│    │    └─LeakyReLU: 3-29              [16, 64, 32, 32]          --\n",
       "│    │    └─Upsample: 3-30               [16, 64, 64, 64]          --\n",
       "│    └─Sequential: 2-11                  [16, 32, 128, 128]        --\n",
       "│    │    └─Conv2d: 3-31                 [16, 32, 64, 64]          51,232\n",
       "│    │    └─BatchNorm2d: 3-32            [16, 32, 64, 64]          64\n",
       "│    │    └─LeakyReLU: 3-33              [16, 32, 64, 64]          --\n",
       "│    │    └─Upsample: 3-34               [16, 32, 128, 128]        --\n",
       "│    └─Sequential: 2-12                  [16, 16, 256, 256]        --\n",
       "│    │    └─Conv2d: 3-35                 [16, 16, 128, 128]        12,816\n",
       "│    │    └─BatchNorm2d: 3-36            [16, 16, 128, 128]        32\n",
       "│    │    └─LeakyReLU: 3-37              [16, 16, 128, 128]        --\n",
       "│    │    └─Upsample: 3-38               [16, 16, 256, 256]        --\n",
       "│    └─Conv2d: 2-13                      [16, 1, 256, 256]         401\n",
       "│    └─Sigmoid: 2-14                     [16, 1, 256, 256]         --\n",
       "==========================================================================================\n",
       "Total params: 8,734,913\n",
       "Trainable params: 8,734,913\n",
       "Non-trainable params: 0\n",
       "Total mult-adds (Units.GIGABYTES): 21.51\n",
       "==========================================================================================\n",
       "Input size (MB): 4.19\n",
       "Forward/backward pass size (MB): 270.53\n",
       "Params size (MB): 34.94\n",
       "Estimated Total Size (MB): 309.67\n",
       "=========================================================================================="
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get cpu or gpu device for training\n",
    "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
    "print(\"Using {} device\".format(device))\n",
    "\n",
    "# Define model\n",
    "class Autoencoder(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.encode = nn.Sequential(\n",
    "            self._conv_block(1, 16),\n",
    "            self._conv_block(16, 32),\n",
    "            self._conv_block(32, 64),\n",
    "            self._conv_block(64, 128),\n",
    "            self._conv_block(128, 256),\n",
    "            self._conv_block(256, 512),\n",
    "        )\n",
    "        self.decode = nn.Sequential(\n",
    "            nn.Upsample(scale_factor=2, mode=\"bilinear\"),\n",
    "            \n",
    "            self._deconv_block(512, 256, output_padding=1),\n",
    "            self._deconv_block(256, 128, output_padding=1),\n",
    "            self._deconv_block(128, 64, output_padding=1),\n",
    "            self._deconv_block(64, 32, output_padding=1),\n",
    "            self._deconv_block(32, 16, output_padding=1),\n",
    "            \n",
    "            nn.Conv2d(16, 1, kernel_size=5, stride=1, padding=5//2),\n",
    "            nn.Sigmoid(),\n",
    "        )\n",
    "\n",
    "    def _conv_block(self, in_channels, out_channels, kernel_size=5, stride=2, padding=1, leaky_slope=0.2):\n",
    "        return nn.Sequential(\n",
    "            nn.Conv2d(in_channels, out_channels, kernel_size=kernel_size, stride=stride, padding=kernel_size//2),\n",
    "            nn.BatchNorm2d(out_channels),\n",
    "            nn.LeakyReLU(leaky_slope),\n",
    "        )\n",
    "\n",
    "    def _deconv_block(self, in_channels, out_channels, kernel_size=5, stride=2, padding=1, leaky_slope=0.2, output_padding=0):\n",
    "        return nn.Sequential(\n",
    "            nn.Conv2d(in_channels, out_channels, kernel_size=kernel_size, stride=1, padding=kernel_size//2),\n",
    "            nn.BatchNorm2d(out_channels),\n",
    "            nn.LeakyReLU(leaky_slope),\n",
    "            nn.Upsample(scale_factor=2, mode=\"bilinear\"),\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        latent = self.encode(x)\n",
    "        #print(latent.shape)\n",
    "        output = self.decode(latent)\n",
    "        return output\n",
    "\n",
    "model = Autoencoder().to(device)\n",
    "\n",
    "print(model)\n",
    "summary(model, input_size=(batch_size, 1, 256, 256))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "523d65ad-eec1-4e1f-8baf-6d6ab0f37850",
   "metadata": {
    "id": "523d65ad-eec1-4e1f-8baf-6d6ab0f37850",
    "tags": []
   },
   "outputs": [],
   "source": [
    "loss_fn = nn.MSELoss()\n",
    "\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=0.001)\n",
    "#scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, verbose=True, min_lr=0.000001)\n",
    "\n",
    "log_dict = {'train_loss_per_batch': [],\n",
    "            'train_loss_per_epoch': []}\n",
    "\n",
    "def train(dataloader, model, loss_fn, optimizer):\n",
    "    size = len(dataloader.dataset)\n",
    "\n",
    "    model.train()\n",
    "    for batch, (X, y) in enumerate(dataloader):\n",
    "        \n",
    "        X = X.to(device)\n",
    "\n",
    "        optimizer.zero_grad()\n",
    "        pred = model(X)\n",
    "\n",
    "        # Compute prediction error\n",
    "        loss = loss_fn(pred,X)\n",
    "\n",
    "        # Backpropagation\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        #scheduler.step(loss)\n",
    "\n",
    "        # LOGGING\n",
    "        log_dict['train_loss_per_batch'].append(loss.item())\n",
    "\n",
    "        #print(pred, y)\n",
    "        layer_grds = []\n",
    "        for name, param in model.named_parameters():\n",
    "            if param.requires_grad:\n",
    "                #print(name, param.grad.norm())\n",
    "                layer_grds.append(round(param.grad.norm().item(),5))\n",
    "\n",
    "        if batch % 2 == 0:\n",
    "            loss, current = loss.item(), batch * len(X)\n",
    "            print(f\"loss: {loss:>7f}  [{current:>5d}/{size:>5d}] grads: {layer_grds}\")\n",
    "\n",
    "\n",
    "def test(dataloader, model, loss_fn):\n",
    "    size = len(dataloader.dataset)\n",
    "    num_batches = len(dataloader)\n",
    "    model.eval()\n",
    "    test_loss = 0\n",
    "    with torch.no_grad():\n",
    "        for X, y in dataloader:\n",
    "            print(correct, size)\n",
    "            X = X.to(device)\n",
    "            pred = model(X)\n",
    "            test_loss += loss_fn(pred, X).item()\n",
    "    test_loss /= num_batches\n",
    "    correct /= size\n",
    "    print(f\"Test Error: \\n Accuracy: {(100*correct):>0.1f}%, Avg loss: {test_loss:>8f} \\n\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "84d3a5eb-b1bc-451b-8778-c86045d50850",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "84d3a5eb-b1bc-451b-8778-c86045d50850",
    "outputId": "a0a025ca-189e-4183-b5b1-da35f0de85f8",
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1\n",
      "-------------------------------\n",
      "loss: 0.108278  [    0/  391] grads: [0.07824, 0.0, 0.00369, 0.00213, 0.1525, 0.0, 0.00366, 0.00245, 0.1868, 0.0, 0.003, 0.00193, 0.22616, 0.0, 0.00329, 0.00212, 0.32121, 0.0, 0.0032, 0.00241, 0.46489, 0.0, 0.00364, 0.00293, 0.69813, 0.0, 0.00346, 0.00214, 0.50229, 0.0, 0.0032, 0.00189, 0.32573, 0.0, 0.0033, 0.00175, 0.20738, 0.0, 0.00341, 0.00185, 0.1592, 0.0, 0.02646, 0.05145, 0.91882, 0.14434]\n",
      "loss: 0.073896  [   32/  391] grads: [0.00402, 0.0, 0.00028, 0.00027, 0.01078, 0.0, 0.00026, 0.0002, 0.01086, 0.0, 0.00027, 0.00017, 0.0136, 0.0, 0.00024, 0.00015, 0.01917, 0.0, 0.00033, 0.00021, 0.02586, 0.0, 0.00062, 0.00041, 0.0602, 0.0, 0.00148, 0.00084, 0.14708, 0.0, 0.00306, 0.00179, 0.19586, 0.0, 0.00295, 0.0017, 0.18947, 0.0, 0.00284, 0.00213, 0.1779, 0.0, 0.01888, 0.04059, 0.66537, 0.11141]\n",
      "loss: 0.061610  [   64/  391] grads: [0.00325, 0.0, 0.0002, 0.00036, 0.00629, 0.0, 0.00019, 0.00026, 0.00681, 0.0, 0.00016, 0.00016, 0.00584, 0.0, 0.00013, 0.00014, 0.00573, 0.0, 0.00014, 0.0001, 0.00717, 0.0, 0.00025, 0.00017, 0.01134, 0.0, 0.00042, 0.00038, 0.0252, 0.0, 0.00086, 0.00079, 0.05045, 0.0, 0.00147, 0.00137, 0.08475, 0.0, 0.00205, 0.00162, 0.08576, 0.0, 0.01741, 0.04379, 0.56524, 0.11057]\n",
      "loss: 0.024887  [   96/  391] grads: [0.00418, 0.0, 0.0002, 0.00033, 0.00566, 0.0, 0.00023, 0.00029, 0.00677, 0.0, 0.00016, 0.00017, 0.00565, 0.0, 0.00016, 0.00014, 0.00464, 0.0, 0.00013, 0.0001, 0.00357, 0.0, 0.00012, 0.00012, 0.00458, 0.0, 0.00022, 0.0002, 0.01354, 0.0, 0.00058, 0.00057, 0.02767, 0.0, 0.001, 0.00081, 0.04803, 0.0, 0.00183, 0.00126, 0.06599, 0.0, 0.01288, 0.0266, 0.33905, 0.0588]\n",
      "loss: 0.020695  [  128/  391] grads: [0.003, 0.0, 0.00017, 0.00033, 0.00444, 0.0, 0.00023, 0.00031, 0.00543, 0.0, 0.00019, 0.00018, 0.00382, 0.0, 0.00013, 0.00013, 0.00334, 0.0, 0.0001, 0.00011, 0.00267, 0.0, 0.00012, 0.00013, 0.00434, 0.0, 0.00023, 0.00029, 0.01019, 0.0, 0.00061, 0.00064, 0.02272, 0.0, 0.00114, 0.00104, 0.05068, 0.0, 0.00377, 0.00198, 0.14808, 0.0, 0.01195, 0.02642, 0.26005, 0.0517]\n",
      "loss: 0.006879  [  160/  391] grads: [0.00227, 0.0, 5e-05, 0.0001, 0.00236, 0.0, 8e-05, 7e-05, 0.00262, 0.0, 9e-05, 6e-05, 0.00222, 0.0, 8e-05, 5e-05, 0.0019, 0.0, 6e-05, 4e-05, 0.00165, 0.0, 7e-05, 5e-05, 0.00194, 0.0, 0.00012, 0.0001, 0.00443, 0.0, 0.00027, 0.00023, 0.01034, 0.0, 0.00043, 0.00034, 0.0161, 0.0, 0.0009, 0.00077, 0.04333, 0.0, 0.00582, 0.00894, 0.09901, 0.01479]\n",
      "loss: 0.006021  [  192/  391] grads: [0.00341, 0.0, 0.00017, 0.00023, 0.00586, 0.0, 0.00023, 0.00017, 0.00693, 0.0, 0.00023, 0.00014, 0.00498, 0.0, 0.00024, 0.0001, 0.00366, 0.0, 0.00013, 7e-05, 0.00224, 0.0, 0.0001, 7e-05, 0.0026, 0.0, 0.00021, 0.00011, 0.00597, 0.0, 0.00041, 0.00027, 0.01407, 0.0, 0.00088, 0.00045, 0.03123, 0.0, 0.00216, 0.00111, 0.09314, 0.0, 0.00097, 0.00057, 0.05534, 0.00196]\n",
      "loss: 0.005368  [  224/  391] grads: [0.00185, 0.0, 9e-05, 0.00013, 0.00266, 0.0, 9e-05, 0.00011, 0.00252, 0.0, 5e-05, 5e-05, 0.00185, 0.0, 4e-05, 4e-05, 0.00168, 0.0, 6e-05, 6e-05, 0.00178, 0.0, 0.0001, 8e-05, 0.00238, 0.0, 0.00018, 0.00011, 0.00484, 0.0, 0.0003, 0.0002, 0.01026, 0.0, 0.00056, 0.00027, 0.02343, 0.0, 0.00188, 0.00083, 0.09453, 0.0, 0.00183, 0.00134, 0.06494, 0.00188]\n",
      "loss: 0.004646  [  256/  391] grads: [0.00096, 0.0, 4e-05, 7e-05, 0.00191, 0.0, 8e-05, 8e-05, 0.00234, 0.0, 8e-05, 6e-05, 0.00196, 0.0, 6e-05, 4e-05, 0.00144, 0.0, 5e-05, 3e-05, 0.00107, 0.0, 5e-05, 4e-05, 0.00123, 0.0, 0.0001, 6e-05, 0.00259, 0.0, 0.00017, 0.0001, 0.00584, 0.0, 0.00033, 0.00024, 0.00947, 0.0, 0.00062, 0.00054, 0.02475, 0.0, 0.00222, 0.00347, 0.03854, 0.00439]\n",
      "loss: 0.011222  [  288/  391] grads: [0.00287, 0.0, 0.00019, 0.00022, 0.00363, 0.0, 0.00017, 0.00024, 0.0048, 0.0, 0.00017, 0.00013, 0.00448, 0.0, 0.00014, 0.0001, 0.00382, 0.0, 0.00014, 9e-05, 0.0033, 0.0, 0.00017, 0.0001, 0.00313, 0.0, 0.00029, 0.00014, 0.00613, 0.0, 0.00053, 0.00029, 0.01397, 0.0, 0.00121, 0.001, 0.03015, 0.0, 0.00197, 0.00162, 0.06209, 0.0, 0.00743, 0.01208, 0.11371, 0.01548]\n",
      "loss: 0.008892  [  320/  391] grads: [0.0016, 0.0, 7e-05, 7e-05, 0.0018, 0.0, 5e-05, 8e-05, 0.00225, 0.0, 6e-05, 6e-05, 0.00239, 0.0, 8e-05, 5e-05, 0.0025, 0.0, 0.0001, 6e-05, 0.00248, 0.0, 0.00013, 0.00011, 0.00296, 0.0, 0.00021, 0.00018, 0.00617, 0.0, 0.00047, 0.0004, 0.01299, 0.0, 0.00075, 0.00049, 0.0208, 0.0, 0.00149, 0.00119, 0.06673, 0.0, 0.00694, 0.00502, 0.11188, 0.0074]\n",
      "loss: 0.009202  [  352/  391] grads: [0.0041, 0.0, 0.00021, 0.00013, 0.004, 0.0, 0.00018, 0.0001, 0.00604, 0.0, 0.00014, 9e-05, 0.00575, 0.0, 0.00025, 0.00015, 0.006, 0.0, 0.00026, 0.00015, 0.00568, 0.0, 0.00039, 0.00027, 0.00621, 0.0, 0.00057, 0.00036, 0.01038, 0.0, 0.00088, 0.00059, 0.02318, 0.0, 0.00181, 0.00124, 0.04377, 0.0, 0.00305, 0.00231, 0.08831, 0.0, 0.00926, 0.01369, 0.12986, 0.0185]\n",
      "loss: 0.006493  [  168/  391] grads: [0.00288, 0.0, 0.00014, 7e-05, 0.0028, 0.0, 0.00014, 7e-05, 0.00323, 0.0, 0.00012, 6e-05, 0.00235, 0.0, 0.00011, 8e-05, 0.00218, 0.0, 8e-05, 6e-05, 0.0015, 0.0, 8e-05, 7e-05, 0.0015, 0.0, 0.00013, 0.00012, 0.00287, 0.0, 0.00023, 0.00026, 0.00575, 0.0, 0.00038, 0.00031, 0.0109, 0.0, 0.00128, 0.00078, 0.04888, 0.0, 0.00285, 0.00432, 0.05357, 0.00506]\n",
      "Epoch 2\n",
      "-------------------------------\n",
      "loss: 0.005241  [    0/  391] grads: [0.00259, 0.0, 0.00013, 6e-05, 0.00219, 0.0, 0.00012, 6e-05, 0.00265, 0.0, 0.0001, 5e-05, 0.00216, 0.0, 0.0001, 8e-05, 0.00202, 0.0, 8e-05, 6e-05, 0.00151, 0.0, 8e-05, 7e-05, 0.00141, 0.0, 0.00012, 0.00012, 0.00234, 0.0, 0.00015, 0.00016, 0.00349, 0.0, 0.00026, 0.00021, 0.00616, 0.0, 0.00038, 0.00038, 0.01194, 0.0, 0.00209, 0.00353, 0.03304, 0.00429]\n",
      "loss: 0.005018  [   32/  391] grads: [0.00224, 0.0, 7e-05, 4e-05, 0.0014, 0.0, 7e-05, 4e-05, 0.00159, 0.0, 6e-05, 3e-05, 0.00171, 0.0, 9e-05, 6e-05, 0.00195, 0.0, 9e-05, 6e-05, 0.00173, 0.0, 0.00011, 7e-05, 0.00152, 0.0, 0.00013, 0.00011, 0.00282, 0.0, 0.00022, 0.00018, 0.00547, 0.0, 0.00033, 0.00034, 0.01062, 0.0, 0.00108, 0.00076, 0.03953, 0.0, 0.00396, 0.00647, 0.05271, 0.00646]\n",
      "loss: 0.004849  [   64/  391] grads: [0.00102, 0.0, 8e-05, 4e-05, 0.00118, 0.0, 6e-05, 2e-05, 0.0013, 0.0, 5e-05, 2e-05, 0.0014, 0.0, 7e-05, 4e-05, 0.00166, 0.0, 8e-05, 5e-05, 0.00158, 0.0, 0.00011, 6e-05, 0.00149, 0.0, 0.00012, 9e-05, 0.0027, 0.0, 0.00019, 0.00012, 0.00447, 0.0, 0.00028, 0.00019, 0.00831, 0.0, 0.00071, 0.00055, 0.02907, 0.0, 0.00234, 0.00265, 0.03182, 0.0021]\n",
      "loss: 0.006360  [   96/  391] grads: [0.00122, 0.0, 0.0001, 3e-05, 0.00155, 0.0, 9e-05, 3e-05, 0.00172, 0.0, 0.0001, 4e-05, 0.00176, 0.0, 0.00011, 5e-05, 0.00177, 0.0, 0.00011, 5e-05, 0.00183, 0.0, 0.00012, 7e-05, 0.00189, 0.0, 0.00021, 0.0001, 0.00354, 0.0, 0.00034, 0.00019, 0.00663, 0.0, 0.00054, 0.00046, 0.01202, 0.0, 0.00087, 0.00084, 0.03233, 0.0, 0.00584, 0.01175, 0.09005, 0.01368]\n",
      "loss: 0.004551  [  128/  391] grads: [0.00057, 0.0, 4e-05, 7e-05, 0.00092, 0.0, 3e-05, 6e-05, 0.00083, 0.0, 3e-05, 4e-05, 0.00095, 0.0, 4e-05, 3e-05, 0.00118, 0.0, 6e-05, 4e-05, 0.00134, 0.0, 9e-05, 5e-05, 0.00127, 0.0, 0.00011, 8e-05, 0.00213, 0.0, 0.00017, 0.00012, 0.00384, 0.0, 0.00027, 0.00021, 0.00824, 0.0, 0.00098, 0.00069, 0.03321, 0.0, 0.00252, 0.00531, 0.05054, 0.0064]\n",
      "loss: 0.005398  [  160/  391] grads: [0.00282, 0.0, 0.00016, 0.00016, 0.00247, 0.0, 0.00012, 0.00012, 0.00225, 0.0, 0.00012, 8e-05, 0.00211, 0.0, 0.00012, 8e-05, 0.00239, 0.0, 0.00014, 9e-05, 0.00267, 0.0, 0.00017, 0.00012, 0.00216, 0.0, 0.00019, 0.00011, 0.00322, 0.0, 0.0002, 0.00016, 0.00447, 0.0, 0.00034, 0.0003, 0.00794, 0.0, 0.00123, 0.00075, 0.03583, 0.0, 0.00371, 0.00621, 0.05202, 0.0053]\n",
      "loss: 0.004797  [  192/  391] grads: [0.00145, 0.0, 8e-05, 6e-05, 0.00134, 0.0, 8e-05, 6e-05, 0.00169, 0.0, 7e-05, 4e-05, 0.00173, 0.0, 9e-05, 5e-05, 0.00188, 0.0, 0.00011, 6e-05, 0.00176, 0.0, 0.0001, 7e-05, 0.00178, 0.0, 0.00015, 0.0001, 0.00271, 0.0, 0.00026, 0.00012, 0.00435, 0.0, 0.00048, 0.0002, 0.00948, 0.0, 0.00087, 0.00048, 0.02286, 0.0, 0.00181, 0.00186, 0.0256, 0.00283]\n",
      "loss: 0.006004  [  224/  391] grads: [0.0035, 0.0, 0.00011, 0.00021, 0.00274, 0.0, 0.00015, 0.00015, 0.00251, 0.0, 0.00017, 0.00011, 0.00252, 0.0, 0.00019, 0.00013, 0.00263, 0.0, 0.00022, 0.00011, 0.0026, 0.0, 0.0002, 8e-05, 0.00274, 0.0, 0.00035, 0.00013, 0.00449, 0.0, 0.00055, 0.00023, 0.00756, 0.0, 0.00087, 0.00056, 0.01632, 0.0, 0.00166, 0.00107, 0.03737, 0.0, 0.0052, 0.01268, 0.07205, 0.01618]\n",
      "loss: 0.005467  [  256/  391] grads: [0.00155, 0.0, 6e-05, 4e-05, 0.00125, 0.0, 5e-05, 3e-05, 0.00112, 0.0, 4e-05, 3e-05, 0.00138, 0.0, 5e-05, 3e-05, 0.00146, 0.0, 7e-05, 4e-05, 0.00155, 0.0, 0.0001, 6e-05, 0.00146, 0.0, 0.00014, 0.0001, 0.00267, 0.0, 0.00021, 0.00016, 0.00446, 0.0, 0.00036, 0.00023, 0.01037, 0.0, 0.00124, 0.00075, 0.04029, 0.0, 0.0027, 0.00336, 0.05934, 0.0048]\n",
      "loss: 0.007790  [  288/  391] grads: [0.0016, 0.0, 0.00019, 0.00015, 0.00286, 0.0, 0.00016, 0.0001, 0.00307, 0.0, 0.00018, 8e-05, 0.00255, 0.0, 0.00017, 6e-05, 0.00223, 0.0, 0.00016, 6e-05, 0.0017, 0.0, 0.00013, 5e-05, 0.00171, 0.0, 0.00022, 7e-05, 0.00304, 0.0, 0.00037, 0.00018, 0.00559, 0.0, 0.00061, 0.00041, 0.01429, 0.0, 0.00162, 0.00121, 0.06661, 0.0, 0.00751, 0.00834, 0.1392, 0.01179]\n",
      "loss: 0.004775  [  320/  391] grads: [0.00214, 0.0, 7e-05, 0.00023, 0.0018, 0.0, 7e-05, 0.00019, 0.00165, 0.0, 7e-05, 0.00011, 0.00183, 0.0, 9e-05, 0.00012, 0.00188, 0.0, 9e-05, 9e-05, 0.00164, 0.0, 0.0001, 8e-05, 0.00148, 0.0, 0.00014, 0.00015, 0.00217, 0.0, 0.00015, 0.00017, 0.00372, 0.0, 0.00026, 0.00026, 0.00945, 0.0, 0.00132, 0.00093, 0.04378, 0.0, 0.00448, 0.00494, 0.07656, 0.00258]\n",
      "loss: 0.006604  [  352/  391] grads: [0.00401, 0.0, 0.00012, 6e-05, 0.00258, 0.0, 0.00015, 3e-05, 0.00221, 0.0, 0.00015, 4e-05, 0.00184, 0.0, 0.00014, 4e-05, 0.00218, 0.0, 0.00015, 5e-05, 0.00194, 0.0, 0.00013, 4e-05, 0.00203, 0.0, 0.00024, 7e-05, 0.00346, 0.0, 0.0004, 0.00017, 0.00692, 0.0, 0.00066, 0.00047, 0.01791, 0.0, 0.00199, 0.0015, 0.07891, 0.0, 0.0086, 0.00925, 0.17505, 0.01486]\n",
      "loss: 0.005727  [  168/  391] grads: [0.00096, 0.0, 9e-05, 8e-05, 0.00182, 0.0, 8e-05, 5e-05, 0.00198, 0.0, 4e-05, 5e-05, 0.00135, 0.0, 4e-05, 5e-05, 0.00115, 0.0, 5e-05, 5e-05, 0.00113, 0.0, 7e-05, 6e-05, 0.00139, 0.0, 0.00014, 0.00013, 0.00277, 0.0, 0.00027, 0.00024, 0.00516, 0.0, 0.00048, 0.00051, 0.01103, 0.0, 0.00094, 0.00085, 0.02878, 0.0, 0.00542, 0.0103, 0.08247, 0.00925]\n",
      "Epoch 3\n",
      "-------------------------------\n",
      "loss: 0.003992  [    0/  391] grads: [0.00166, 0.0, 5e-05, 6e-05, 0.00124, 0.0, 7e-05, 4e-05, 0.00165, 0.0, 4e-05, 5e-05, 0.00154, 0.0, 7e-05, 4e-05, 0.00176, 0.0, 8e-05, 5e-05, 0.00151, 0.0, 0.0001, 7e-05, 0.00149, 0.0, 0.00014, 0.0001, 0.00236, 0.0, 0.00018, 0.00015, 0.00373, 0.0, 0.00039, 0.00037, 0.00808, 0.0, 0.00045, 0.00053, 0.01284, 0.0, 0.00278, 0.00499, 0.04296, 0.00379]\n",
      "loss: 0.004389  [   32/  391] grads: [0.00312, 0.0, 0.00011, 0.0002, 0.00269, 0.0, 0.00013, 0.00017, 0.00244, 0.0, 0.00015, 0.00012, 0.00206, 0.0, 0.00015, 0.00013, 0.00242, 0.0, 0.00014, 9e-05, 0.00196, 0.0, 0.00012, 7e-05, 0.00191, 0.0, 0.00019, 0.00012, 0.00318, 0.0, 0.0003, 0.00015, 0.00512, 0.0, 0.00042, 0.0002, 0.01154, 0.0, 0.00176, 0.00083, 0.06304, 0.0, 0.00649, 0.00275, 0.12569, 0.00291]\n",
      "loss: 0.007781  [   64/  391] grads: [0.00359, 0.0, 0.00018, 0.00063, 0.00518, 0.0, 0.00029, 0.00046, 0.00572, 0.0, 0.00017, 0.00032, 0.00459, 0.0, 0.00015, 0.00025, 0.00349, 0.0, 0.00016, 0.00019, 0.00268, 0.0, 0.00017, 0.00015, 0.00309, 0.0, 0.00032, 0.00024, 0.00531, 0.0, 0.00054, 0.00045, 0.00909, 0.0, 0.00101, 0.00085, 0.02222, 0.0, 0.00205, 0.00131, 0.05865, 0.0, 0.00777, 0.01799, 0.12988, 0.01965]\n",
      "loss: 0.003635  [   96/  391] grads: [0.00053, 0.0, 4e-05, 9e-05, 0.00091, 0.0, 4e-05, 6e-05, 0.00095, 0.0, 4e-05, 4e-05, 0.00095, 0.0, 4e-05, 3e-05, 0.00089, 0.0, 4e-05, 3e-05, 0.00068, 0.0, 4e-05, 3e-05, 0.00059, 0.0, 6e-05, 5e-05, 0.00138, 0.0, 0.0001, 0.0001, 0.00238, 0.0, 0.00016, 0.00018, 0.00457, 0.0, 0.00035, 0.00035, 0.01033, 0.0, 0.00181, 0.00244, 0.03066, 0.0024]\n",
      "loss: 0.003457  [  128/  391] grads: [0.00176, 0.0, 7e-05, 0.00012, 0.00132, 0.0, 5e-05, 0.0001, 0.00116, 0.0, 4e-05, 8e-05, 0.00134, 0.0, 6e-05, 6e-05, 0.00157, 0.0, 6e-05, 4e-05, 0.00128, 0.0, 8e-05, 6e-05, 0.00113, 0.0, 0.00011, 8e-05, 0.00218, 0.0, 0.00021, 0.00015, 0.00326, 0.0, 0.00025, 0.00019, 0.00627, 0.0, 0.00046, 0.00046, 0.01276, 0.0, 0.00197, 0.00459, 0.02789, 0.00542]\n",
      "loss: 0.003914  [  160/  391] grads: [0.00443, 0.0, 0.00032, 0.00032, 0.00531, 0.0, 0.00032, 0.00026, 0.00396, 0.0, 0.00031, 0.00014, 0.00356, 0.0, 0.00019, 0.00012, 0.00233, 0.0, 0.0001, 6e-05, 0.00159, 0.0, 8e-05, 6e-05, 0.00114, 0.0, 0.00011, 8e-05, 0.00208, 0.0, 0.00017, 0.00014, 0.00357, 0.0, 0.00029, 0.00022, 0.00789, 0.0, 0.00123, 0.00083, 0.03074, 0.0, 0.00538, 0.00507, 0.09991, 0.0018]\n",
      "loss: 0.003304  [  192/  391] grads: [0.00247, 0.0, 0.00012, 8e-05, 0.00235, 0.0, 0.00012, 6e-05, 0.00208, 0.0, 0.00014, 5e-05, 0.00221, 0.0, 0.00016, 7e-05, 0.0023, 0.0, 0.00013, 6e-05, 0.0019, 0.0, 0.00013, 7e-05, 0.00161, 0.0, 0.00017, 0.00012, 0.00298, 0.0, 0.00021, 0.00016, 0.0048, 0.0, 0.00046, 0.00025, 0.01028, 0.0, 0.00095, 0.00072, 0.02334, 0.0, 0.00172, 0.00101, 0.03804, 0.00193]\n",
      "loss: 0.003866  [  224/  391] grads: [0.0012, 0.0, 7e-05, 3e-05, 0.00108, 0.0, 6e-05, 4e-05, 0.00116, 0.0, 4e-05, 3e-05, 0.00129, 0.0, 8e-05, 6e-05, 0.00176, 0.0, 8e-05, 5e-05, 0.00168, 0.0, 0.00012, 7e-05, 0.0016, 0.0, 0.00018, 0.00011, 0.00301, 0.0, 0.00028, 0.00015, 0.00488, 0.0, 0.00041, 0.00032, 0.00963, 0.0, 0.00052, 0.00063, 0.01947, 0.0, 0.00322, 0.00623, 0.05703, 0.00909]\n",
      "loss: 0.003456  [  256/  391] grads: [0.00085, 0.0, 0.00012, 8e-05, 0.00178, 0.0, 0.00011, 6e-05, 0.0014, 0.0, 0.0001, 5e-05, 0.00142, 0.0, 9e-05, 4e-05, 0.00113, 0.0, 7e-05, 3e-05, 0.00109, 0.0, 7e-05, 5e-05, 0.00106, 0.0, 9e-05, 7e-05, 0.00181, 0.0, 0.00011, 8e-05, 0.00252, 0.0, 0.00024, 0.00019, 0.00536, 0.0, 0.00039, 0.00031, 0.01061, 0.0, 0.00142, 0.00349, 0.02922, 0.00415]\n",
      "loss: 0.011923  [  288/  391] grads: [0.00381, 0.0, 0.00028, 0.00012, 0.00441, 0.0, 0.00026, 0.00011, 0.00345, 0.0, 0.00023, 0.00013, 0.00412, 0.0, 0.00026, 0.00013, 0.00342, 0.0, 0.00019, 0.00012, 0.0032, 0.0, 0.00024, 0.00014, 0.00311, 0.0, 0.00033, 0.00024, 0.00545, 0.0, 0.00058, 0.00043, 0.00874, 0.0, 0.00097, 0.0009, 0.02119, 0.0, 0.00103, 0.00161, 0.0436, 0.0, 0.00991, 0.02013, 0.19062, 0.02809]\n",
      "loss: 0.004324  [  320/  391] grads: [0.00172, 0.0, 8e-05, 0.00015, 0.00167, 0.0, 6e-05, 0.00012, 0.00158, 0.0, 8e-05, 9e-05, 0.00191, 0.0, 0.00011, 7e-05, 0.00222, 0.0, 9e-05, 7e-05, 0.00181, 0.0, 0.00012, 9e-05, 0.00178, 0.0, 0.00018, 0.00014, 0.00378, 0.0, 0.00031, 0.00024, 0.00568, 0.0, 0.00063, 0.00055, 0.01315, 0.0, 0.00143, 0.00104, 0.03285, 0.0, 0.00334, 0.00575, 0.06807, 0.00663]\n",
      "loss: 0.004601  [  352/  391] grads: [0.0019, 0.0, 0.00011, 9e-05, 0.00186, 0.0, 0.0001, 6e-05, 0.00115, 0.0, 9e-05, 4e-05, 0.00127, 0.0, 8e-05, 4e-05, 0.00138, 0.0, 7e-05, 4e-05, 0.0015, 0.0, 0.0001, 7e-05, 0.00153, 0.0, 0.00017, 0.0001, 0.00319, 0.0, 0.00035, 0.00018, 0.00563, 0.0, 0.00066, 0.00048, 0.01329, 0.0, 0.00078, 0.00086, 0.03029, 0.0, 0.00582, 0.00933, 0.11949, 0.01532]\n",
      "loss: 0.003002  [  168/  391] grads: [0.00722, 0.0, 0.00023, 0.00016, 0.00443, 0.0, 0.00022, 0.00014, 0.00257, 0.0, 0.0002, 0.00012, 0.00251, 0.0, 0.00016, 0.00013, 0.00209, 0.0, 0.00011, 7e-05, 0.00178, 0.0, 0.0001, 7e-05, 0.00173, 0.0, 0.00015, 0.00012, 0.00284, 0.0, 0.00019, 0.00016, 0.00375, 0.0, 0.00042, 0.00028, 0.00753, 0.0, 0.00078, 0.00072, 0.02457, 0.0, 0.00484, 0.00256, 0.09815, 0.00398]\n",
      "Epoch 4\n",
      "-------------------------------\n",
      "loss: 0.003073  [    0/  391] grads: [0.00102, 0.0, 9e-05, 6e-05, 0.00115, 0.0, 7e-05, 4e-05, 0.00091, 0.0, 6e-05, 2e-05, 0.00106, 0.0, 6e-05, 3e-05, 0.0013, 0.0, 6e-05, 3e-05, 0.00113, 0.0, 6e-05, 4e-05, 0.00097, 0.0, 9e-05, 5e-05, 0.0019, 0.0, 0.00015, 0.00011, 0.00334, 0.0, 0.00035, 0.0002, 0.00861, 0.0, 0.00097, 0.00075, 0.02325, 0.0, 0.00318, 0.00554, 0.07634, 0.00943]\n",
      "loss: 0.002989  [   32/  391] grads: [0.00076, 0.0, 7e-05, 0.00011, 0.00129, 0.0, 6e-05, 8e-05, 0.00106, 0.0, 6e-05, 8e-05, 0.00136, 0.0, 0.0001, 0.0001, 0.00175, 0.0, 9e-05, 6e-05, 0.00152, 0.0, 8e-05, 5e-05, 0.00149, 0.0, 0.00012, 9e-05, 0.00299, 0.0, 0.00024, 0.00016, 0.00503, 0.0, 0.00044, 0.00031, 0.00859, 0.0, 0.00084, 0.00054, 0.01531, 0.0, 0.00219, 0.00389, 0.05047, 0.00611]\n",
      "loss: 0.005246  [   64/  391] grads: [0.00353, 0.0, 0.00024, 0.00031, 0.00387, 0.0, 0.00019, 0.00023, 0.00273, 0.0, 0.0002, 0.00016, 0.00248, 0.0, 0.00014, 0.00013, 0.0023, 0.0, 0.00012, 8e-05, 0.0018, 0.0, 9e-05, 8e-05, 0.00173, 0.0, 0.00016, 0.00019, 0.00298, 0.0, 0.00028, 0.00027, 0.00496, 0.0, 0.00052, 0.00046, 0.00982, 0.0, 0.00065, 0.00073, 0.0158, 0.0, 0.00558, 0.0141, 0.09808, 0.01827]\n",
      "loss: 0.003928  [   96/  391] grads: [0.00697, 0.0, 0.0002, 0.00019, 0.00436, 0.0, 0.00016, 0.00015, 0.00232, 0.0, 0.00016, 0.0001, 0.00212, 0.0, 0.0001, 8e-05, 0.00172, 0.0, 0.0001, 4e-05, 0.00124, 0.0, 6e-05, 3e-05, 0.00093, 0.0, 0.00011, 9e-05, 0.00176, 0.0, 0.00018, 0.00019, 0.00329, 0.0, 0.00029, 0.00031, 0.00635, 0.0, 0.00053, 0.00064, 0.01823, 0.0, 0.00466, 0.00502, 0.07889, 0.00389]\n",
      "loss: 0.003820  [  128/  391] grads: [0.0034, 0.0, 9e-05, 5e-05, 0.00224, 0.0, 9e-05, 4e-05, 0.00143, 0.0, 9e-05, 3e-05, 0.00122, 0.0, 7e-05, 4e-05, 0.00125, 0.0, 6e-05, 4e-05, 0.00124, 0.0, 7e-05, 5e-05, 0.00115, 0.0, 0.00012, 8e-05, 0.00224, 0.0, 0.00016, 0.00016, 0.00345, 0.0, 0.00027, 0.00027, 0.00678, 0.0, 0.00064, 0.00048, 0.0183, 0.0, 0.00349, 0.00684, 0.05869, 0.0081]\n",
      "loss: 0.003439  [  160/  391] grads: [0.00429, 0.0, 0.00021, 0.00019, 0.00473, 0.0, 0.00025, 0.00012, 0.00341, 0.0, 0.00024, 6e-05, 0.00291, 0.0, 0.00014, 6e-05, 0.0016, 0.0, 6e-05, 4e-05, 0.00141, 0.0, 7e-05, 5e-05, 0.0009, 0.0, 0.0001, 7e-05, 0.00195, 0.0, 0.00011, 7e-05, 0.00253, 0.0, 0.00015, 0.00012, 0.00469, 0.0, 0.00026, 0.00026, 0.00871, 0.0, 0.00212, 0.0045, 0.0355, 0.00566]\n",
      "loss: 0.004016  [  192/  391] grads: [0.00102, 0.0, 8e-05, 0.00026, 0.00218, 0.0, 8e-05, 0.00019, 0.00185, 0.0, 5e-05, 0.00014, 0.0018, 0.0, 8e-05, 0.00013, 0.00157, 0.0, 9e-05, 7e-05, 0.00164, 0.0, 9e-05, 6e-05, 0.00119, 0.0, 9e-05, 8e-05, 0.00204, 0.0, 0.00016, 0.00011, 0.00299, 0.0, 0.00032, 0.00022, 0.00556, 0.0, 0.00038, 0.00035, 0.01029, 0.0, 0.00289, 0.00567, 0.05412, 0.00732]\n",
      "loss: 0.003379  [  224/  391] grads: [0.00198, 0.0, 8e-05, 8e-05, 0.00173, 0.0, 9e-05, 5e-05, 0.00109, 0.0, 8e-05, 3e-05, 0.00097, 0.0, 7e-05, 4e-05, 0.0009, 0.0, 6e-05, 3e-05, 0.00109, 0.0, 7e-05, 5e-05, 0.00108, 0.0, 0.0001, 7e-05, 0.00214, 0.0, 0.0002, 0.0001, 0.00353, 0.0, 0.00027, 0.00027, 0.00785, 0.0, 0.00083, 0.00061, 0.02197, 0.0, 0.00201, 0.00302, 0.02893, 0.00406]\n",
      "loss: 0.003302  [  256/  391] grads: [0.00219, 0.0, 0.00017, 7e-05, 0.00254, 0.0, 0.00016, 4e-05, 0.00192, 0.0, 0.00013, 3e-05, 0.0018, 0.0, 0.00011, 5e-05, 0.00168, 0.0, 0.0001, 5e-05, 0.00153, 0.0, 0.0001, 5e-05, 0.00116, 0.0, 9e-05, 8e-05, 0.00174, 0.0, 0.00016, 0.00011, 0.00233, 0.0, 0.00021, 0.00016, 0.00368, 0.0, 0.00017, 0.00019, 0.00752, 0.0, 0.00179, 0.00333, 0.03857, 0.00446]\n",
      "loss: 0.005953  [  288/  391] grads: [0.00315, 0.0, 0.00019, 0.00017, 0.00312, 0.0, 0.00019, 0.00012, 0.00223, 0.0, 0.00016, 8e-05, 0.00188, 0.0, 0.00013, 9e-05, 0.00177, 0.0, 0.0001, 5e-05, 0.00179, 0.0, 0.00011, 6e-05, 0.00156, 0.0, 0.0002, 0.0001, 0.00294, 0.0, 0.00034, 0.00019, 0.00494, 0.0, 0.00049, 0.00036, 0.01006, 0.0, 0.00084, 0.00092, 0.02804, 0.0, 0.00656, 0.00721, 0.1277, 0.01088]\n",
      "loss: 0.003066  [  320/  391] grads: [0.00077, 0.0, 5e-05, 6e-05, 0.00091, 0.0, 5e-05, 5e-05, 0.00077, 0.0, 4e-05, 4e-05, 0.00089, 0.0, 4e-05, 3e-05, 0.00107, 0.0, 6e-05, 3e-05, 0.00127, 0.0, 8e-05, 5e-05, 0.00118, 0.0, 9e-05, 5e-05, 0.00186, 0.0, 0.00013, 8e-05, 0.00213, 0.0, 0.00016, 0.00016, 0.00398, 0.0, 0.0004, 0.00041, 0.01139, 0.0, 0.00246, 0.00142, 0.04708, 0.00189]\n",
      "loss: 0.003752  [  352/  391] grads: [0.00209, 0.0, 0.00025, 0.00013, 0.00337, 0.0, 0.00025, 9e-05, 0.00259, 0.0, 0.00021, 6e-05, 0.00209, 0.0, 0.00014, 6e-05, 0.00216, 0.0, 0.00017, 7e-05, 0.0021, 0.0, 0.00012, 8e-05, 0.00168, 0.0, 0.00017, 0.0001, 0.00267, 0.0, 0.00025, 0.00013, 0.00374, 0.0, 0.0004, 0.00025, 0.00728, 0.0, 0.00098, 0.00075, 0.02945, 0.0, 0.00618, 0.00455, 0.13363, 0.00822]\n",
      "loss: 0.003399  [  168/  391] grads: [0.0018, 0.0, 0.00013, 6e-05, 0.00186, 0.0, 0.00014, 3e-05, 0.00159, 0.0, 0.00012, 3e-05, 0.00157, 0.0, 9e-05, 4e-05, 0.00191, 0.0, 9e-05, 5e-05, 0.0016, 0.0, 0.0001, 6e-05, 0.00166, 0.0, 0.00013, 9e-05, 0.00298, 0.0, 0.00024, 0.00016, 0.004, 0.0, 0.00036, 0.0003, 0.00835, 0.0, 0.00041, 0.00054, 0.0158, 0.0, 0.00362, 0.00701, 0.07561, 0.01055]\n",
      "Epoch 5\n",
      "-------------------------------\n",
      "loss: 0.002554  [    0/  391] grads: [0.00068, 0.0, 2e-05, 3e-05, 0.0006, 0.0, 3e-05, 3e-05, 0.00067, 0.0, 3e-05, 2e-05, 0.0008, 0.0, 5e-05, 4e-05, 0.00097, 0.0, 5e-05, 3e-05, 0.00123, 0.0, 7e-05, 4e-05, 0.00136, 0.0, 0.00012, 8e-05, 0.00245, 0.0, 0.00012, 9e-05, 0.00195, 0.0, 0.00013, 0.00012, 0.00261, 0.0, 0.00021, 0.00028, 0.00518, 0.0, 0.00131, 0.00211, 0.02077, 0.00167]\n",
      "loss: 0.002781  [   32/  391] grads: [0.00059, 0.0, 6e-05, 0.00021, 0.0015, 0.0, 6e-05, 0.00016, 0.00137, 0.0, 6e-05, 0.00012, 0.00109, 0.0, 7e-05, 9e-05, 0.00129, 0.0, 7e-05, 7e-05, 0.00114, 0.0, 6e-05, 6e-05, 0.00125, 0.0, 0.00012, 0.00013, 0.0024, 0.0, 0.0002, 0.00021, 0.00366, 0.0, 0.00032, 0.0003, 0.00541, 0.0, 0.00038, 0.00039, 0.01097, 0.0, 0.00305, 0.00648, 0.04963, 0.00778]\n",
      "loss: 0.003304  [   64/  391] grads: [0.0008, 0.0, 0.00013, 0.00026, 0.00208, 0.0, 0.00013, 0.00021, 0.00173, 0.0, 0.00012, 0.00015, 0.00142, 0.0, 0.00011, 0.00011, 0.00145, 0.0, 0.0001, 7e-05, 0.00117, 0.0, 6e-05, 5e-05, 0.00117, 0.0, 0.0001, 0.00011, 0.0022, 0.0, 0.00015, 0.00019, 0.00303, 0.0, 0.00026, 0.00024, 0.00527, 0.0, 0.00085, 0.00062, 0.02398, 0.0, 0.00465, 0.00505, 0.08589, 0.00418]\n",
      "loss: 0.003011  [   96/  391] grads: [0.00036, 0.0, 8e-05, 0.0001, 0.00101, 0.0, 7e-05, 8e-05, 0.00084, 0.0, 6e-05, 5e-05, 0.00067, 0.0, 5e-05, 4e-05, 0.00065, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 7e-05, 4e-05, 0.00136, 0.0, 0.00012, 0.00011, 0.00227, 0.0, 0.00022, 0.00019, 0.00522, 0.0, 0.00069, 0.00062, 0.01824, 0.0, 0.00397, 0.00231, 0.07479, 0.00059]\n",
      "loss: 0.002714  [  128/  391] grads: [0.00133, 0.0, 8e-05, 6e-05, 0.00125, 0.0, 7e-05, 4e-05, 0.00099, 0.0, 7e-05, 3e-05, 0.00111, 0.0, 5e-05, 4e-05, 0.00107, 0.0, 6e-05, 3e-05, 0.00111, 0.0, 6e-05, 4e-05, 0.00101, 0.0, 0.00011, 7e-05, 0.00249, 0.0, 0.00018, 0.00014, 0.00327, 0.0, 0.00032, 0.00018, 0.0058, 0.0, 0.00042, 0.00032, 0.01128, 0.0, 0.00223, 0.00183, 0.04513, 0.00149]\n",
      "loss: 0.003305  [  160/  391] grads: [0.00091, 0.0, 4e-05, 4e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.00078, 0.0, 4e-05, 4e-05, 0.00082, 0.0, 5e-05, 5e-05, 0.00085, 0.0, 5e-05, 4e-05, 0.00107, 0.0, 6e-05, 4e-05, 0.00096, 0.0, 8e-05, 8e-05, 0.00197, 0.0, 0.00018, 0.00015, 0.00285, 0.0, 0.0003, 0.00025, 0.00611, 0.0, 0.00072, 0.00048, 0.01791, 0.0, 0.00358, 0.00661, 0.05778, 0.00728]\n",
      "loss: 0.002967  [  192/  391] grads: [0.00153, 0.0, 9e-05, 7e-05, 0.00129, 0.0, 9e-05, 7e-05, 0.00109, 0.0, 9e-05, 4e-05, 0.0012, 0.0, 0.0001, 4e-05, 0.00123, 0.0, 9e-05, 5e-05, 0.00128, 0.0, 9e-05, 6e-05, 0.00147, 0.0, 0.00015, 0.0001, 0.00257, 0.0, 0.00022, 0.00015, 0.00386, 0.0, 0.00035, 0.00032, 0.00826, 0.0, 0.00058, 0.0006, 0.01529, 0.0, 0.00259, 0.00364, 0.04971, 0.00551]\n",
      "loss: 0.003947  [  224/  391] grads: [0.00199, 0.0, 0.0001, 4e-05, 0.0013, 0.0, 0.0001, 4e-05, 0.00102, 0.0, 8e-05, 3e-05, 0.00101, 0.0, 8e-05, 3e-05, 0.0011, 0.0, 7e-05, 4e-05, 0.00118, 0.0, 8e-05, 5e-05, 0.0014, 0.0, 0.00016, 0.0001, 0.00293, 0.0, 0.00028, 0.00016, 0.00479, 0.0, 0.00044, 0.00049, 0.0114, 0.0, 0.00088, 0.00099, 0.02667, 0.0, 0.00484, 0.00865, 0.09369, 0.01312]\n",
      "loss: 0.002666  [  256/  391] grads: [0.00038, 0.0, 3e-05, 5e-05, 0.0004, 0.0, 2e-05, 4e-05, 0.00045, 0.0, 1e-05, 3e-05, 0.00053, 0.0, 3e-05, 4e-05, 0.0006, 0.0, 3e-05, 2e-05, 0.0007, 0.0, 4e-05, 3e-05, 0.00065, 0.0, 5e-05, 4e-05, 0.00124, 0.0, 8e-05, 7e-05, 0.00156, 0.0, 0.00014, 0.00011, 0.00275, 0.0, 0.00023, 0.00021, 0.00603, 0.0, 0.00138, 0.00296, 0.02069, 0.00337]\n",
      "loss: 0.009132  [  288/  391] grads: [0.00326, 0.0, 0.00019, 0.0001, 0.00267, 0.0, 0.00019, 7e-05, 0.00185, 0.0, 0.00017, 5e-05, 0.00207, 0.0, 0.00017, 6e-05, 0.00265, 0.0, 0.00019, 0.0001, 0.00258, 0.0, 0.00017, 0.0001, 0.00332, 0.0, 0.00033, 0.0002, 0.00672, 0.0, 0.00053, 0.00033, 0.00967, 0.0, 0.00091, 0.00084, 0.02136, 0.0, 0.00211, 0.00216, 0.05704, 0.0, 0.00937, 0.01613, 0.18001, 0.02357]\n",
      "loss: 0.002990  [  320/  391] grads: [0.00179, 0.0, 9e-05, 6e-05, 0.0013, 0.0, 7e-05, 4e-05, 0.00116, 0.0, 7e-05, 5e-05, 0.00151, 0.0, 7e-05, 5e-05, 0.00164, 0.0, 8e-05, 5e-05, 0.00158, 0.0, 9e-05, 5e-05, 0.00142, 0.0, 0.00015, 9e-05, 0.0027, 0.0, 0.00024, 0.00013, 0.00427, 0.0, 0.00048, 0.00034, 0.01021, 0.0, 0.00108, 0.00104, 0.02465, 0.0, 0.0024, 0.00341, 0.03676, 0.0046]\n",
      "loss: 0.004007  [  352/  391] grads: [0.00206, 0.0, 0.00012, 7e-05, 0.00164, 0.0, 0.00012, 4e-05, 0.00133, 0.0, 0.0001, 3e-05, 0.00151, 0.0, 0.00012, 4e-05, 0.00206, 0.0, 0.00011, 6e-05, 0.00175, 0.0, 0.00011, 5e-05, 0.00196, 0.0, 0.00023, 0.0001, 0.00341, 0.0, 0.00033, 0.00014, 0.00526, 0.0, 0.00061, 0.00044, 0.01232, 0.0, 0.00086, 0.00109, 0.02865, 0.0, 0.00587, 0.0081, 0.11585, 0.01345]\n",
      "loss: 0.005414  [  168/  391] grads: [0.00381, 0.0, 0.00024, 0.00015, 0.00309, 0.0, 0.00026, 0.0001, 0.00258, 0.0, 0.0002, 9e-05, 0.00233, 0.0, 0.00017, 6e-05, 0.00281, 0.0, 0.00018, 9e-05, 0.00239, 0.0, 0.00014, 8e-05, 0.0025, 0.0, 0.00023, 0.00015, 0.00346, 0.0, 0.00034, 0.00024, 0.00586, 0.0, 0.00061, 0.00051, 0.01302, 0.0, 0.00084, 0.00105, 0.02464, 0.0, 0.00531, 0.01299, 0.1094, 0.01978]\n",
      "Epoch 6\n",
      "-------------------------------\n",
      "loss: 0.002387  [    0/  391] grads: [0.00082, 0.0, 7e-05, 8e-05, 0.00087, 0.0, 7e-05, 6e-05, 0.00081, 0.0, 7e-05, 5e-05, 0.00131, 0.0, 7e-05, 4e-05, 0.00119, 0.0, 7e-05, 3e-05, 0.00105, 0.0, 6e-05, 4e-05, 0.00095, 0.0, 7e-05, 5e-05, 0.00167, 0.0, 0.00013, 9e-05, 0.00232, 0.0, 0.00024, 0.00011, 0.00471, 0.0, 0.00059, 0.00048, 0.0148, 0.0, 0.00286, 0.00153, 0.05998, 0.00269]\n",
      "loss: 0.001910  [   32/  391] grads: [0.00054, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 2e-05, 2e-05, 0.00047, 0.0, 2e-05, 2e-05, 0.0008, 0.0, 3e-05, 3e-05, 0.00087, 0.0, 4e-05, 3e-05, 0.0009, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 7e-05, 5e-05, 0.00164, 0.0, 0.00011, 7e-05, 0.0023, 0.0, 0.00017, 0.0001, 0.00426, 0.0, 0.00053, 0.00046, 0.00915, 0.0, 0.0015, 0.00222, 0.03388, 0.00401]\n",
      "loss: 0.003914  [   64/  391] grads: [0.00064, 0.0, 0.00014, 0.00023, 0.0017, 0.0, 0.00011, 0.00018, 0.00153, 0.0, 9e-05, 0.00012, 0.0016, 0.0, 9e-05, 0.00013, 0.00148, 0.0, 8e-05, 7e-05, 0.00173, 0.0, 9e-05, 7e-05, 0.0012, 0.0, 0.0001, 0.00011, 0.0023, 0.0, 0.00016, 0.0002, 0.00352, 0.0, 0.0003, 0.00031, 0.0052, 0.0, 0.00042, 0.00047, 0.01359, 0.0, 0.00496, 0.01051, 0.07967, 0.01321]\n",
      "loss: 0.003370  [   96/  391] grads: [0.00145, 0.0, 0.00012, 9e-05, 0.00124, 0.0, 0.0001, 6e-05, 0.00106, 0.0, 8e-05, 4e-05, 0.00123, 0.0, 9e-05, 5e-05, 0.00181, 0.0, 0.00011, 5e-05, 0.00158, 0.0, 8e-05, 5e-05, 0.00154, 0.0, 0.00014, 7e-05, 0.00265, 0.0, 0.00017, 0.0001, 0.00333, 0.0, 0.00027, 0.0002, 0.00747, 0.0, 0.00082, 0.00076, 0.02138, 0.0, 0.00436, 0.00357, 0.08495, 0.00568]\n",
      "loss: 0.003213  [  128/  391] grads: [0.0011, 0.0, 8e-05, 0.00014, 0.00121, 0.0, 9e-05, 0.00012, 0.0014, 0.0, 0.00011, 9e-05, 0.00138, 0.0, 9e-05, 6e-05, 0.00144, 0.0, 7e-05, 5e-05, 0.00101, 0.0, 5e-05, 5e-05, 0.0011, 0.0, 0.00013, 0.00011, 0.00212, 0.0, 0.0002, 0.0002, 0.00336, 0.0, 0.00033, 0.00027, 0.00636, 0.0, 0.00088, 0.00062, 0.02232, 0.0, 0.00431, 0.00595, 0.08031, 0.00604]\n",
      "loss: 0.002354  [  160/  391] grads: [0.00128, 0.0, 9e-05, 8e-05, 0.00123, 0.0, 8e-05, 6e-05, 0.00102, 0.0, 7e-05, 3e-05, 0.00099, 0.0, 6e-05, 4e-05, 0.00105, 0.0, 6e-05, 3e-05, 0.00101, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 6e-05, 5e-05, 0.00128, 0.0, 0.0001, 8e-05, 0.00159, 0.0, 0.00013, 0.00011, 0.00308, 0.0, 0.00026, 0.00023, 0.00559, 0.0, 0.00148, 0.00289, 0.03199, 0.00441]\n",
      "loss: 0.002677  [  192/  391] grads: [0.00127, 0.0, 0.00012, 0.00015, 0.00158, 0.0, 0.00011, 0.00011, 0.00155, 0.0, 0.00013, 7e-05, 0.00144, 0.0, 0.00012, 5e-05, 0.00173, 0.0, 0.00012, 5e-05, 0.00127, 0.0, 7e-05, 5e-05, 0.00109, 0.0, 0.00011, 6e-05, 0.00202, 0.0, 0.00013, 9e-05, 0.0024, 0.0, 0.00019, 0.00016, 0.00403, 0.0, 0.0004, 0.00035, 0.01036, 0.0, 0.00257, 0.00165, 0.04504, 0.0]\n",
      "loss: 0.003008  [  224/  391] grads: [0.00133, 0.0, 0.00014, 0.00015, 0.0016, 0.0, 0.00012, 0.00011, 0.00134, 0.0, 0.00011, 6e-05, 0.00112, 0.0, 8e-05, 6e-05, 0.00131, 0.0, 8e-05, 4e-05, 0.00104, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 0.00011, 5e-05, 0.00192, 0.0, 0.00016, 0.0001, 0.00289, 0.0, 0.00029, 0.00023, 0.00599, 0.0, 0.00085, 0.00082, 0.02067, 0.0, 0.00442, 0.00362, 0.08568, 0.00613]\n",
      "loss: 0.002630  [  256/  391] grads: [0.00078, 0.0, 5e-05, 2e-05, 0.00071, 0.0, 4e-05, 2e-05, 0.00069, 0.0, 3e-05, 2e-05, 0.00084, 0.0, 5e-05, 3e-05, 0.00096, 0.0, 5e-05, 3e-05, 0.00106, 0.0, 6e-05, 4e-05, 0.00087, 0.0, 7e-05, 5e-05, 0.00168, 0.0, 0.00014, 7e-05, 0.00256, 0.0, 0.00021, 0.00012, 0.00382, 0.0, 0.00031, 0.00026, 0.00712, 0.0, 0.00132, 0.00223, 0.02063, 0.00267]\n",
      "loss: 0.006506  [  288/  391] grads: [0.00197, 0.0, 0.00014, 8e-05, 0.00173, 0.0, 0.00014, 6e-05, 0.00135, 0.0, 0.0001, 3e-05, 0.00141, 0.0, 0.0001, 5e-05, 0.00182, 0.0, 0.00012, 6e-05, 0.00152, 0.0, 9e-05, 6e-05, 0.00177, 0.0, 0.00017, 8e-05, 0.00304, 0.0, 0.00026, 0.00014, 0.00428, 0.0, 0.00051, 0.00041, 0.01016, 0.0, 0.00139, 0.0013, 0.03385, 0.0, 0.00821, 0.01111, 0.1628, 0.01731]\n",
      "loss: 0.002570  [  320/  391] grads: [0.00073, 0.0, 4e-05, 6e-05, 0.00072, 0.0, 4e-05, 5e-05, 0.00078, 0.0, 5e-05, 3e-05, 0.00089, 0.0, 5e-05, 3e-05, 0.00109, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 6e-05, 5e-05, 0.00124, 0.0, 0.00014, 9e-05, 0.00243, 0.0, 0.00018, 0.0001, 0.00366, 0.0, 0.00034, 0.00026, 0.00816, 0.0, 0.00098, 0.00081, 0.01993, 0.0, 0.00181, 0.00195, 0.02673, 0.00223]\n",
      "loss: 0.002954  [  352/  391] grads: [0.0015, 0.0, 0.00011, 4e-05, 0.00127, 0.0, 0.00011, 2e-05, 0.00098, 0.0, 9e-05, 2e-05, 0.00083, 0.0, 6e-05, 2e-05, 0.00097, 0.0, 6e-05, 2e-05, 0.00084, 0.0, 6e-05, 3e-05, 0.00103, 0.0, 0.00013, 6e-05, 0.00192, 0.0, 0.0002, 0.00011, 0.00289, 0.0, 0.00035, 0.00029, 0.00777, 0.0, 0.00063, 0.00072, 0.0184, 0.0, 0.00438, 0.00616, 0.09342, 0.01014]\n",
      "loss: 0.002954  [  168/  391] grads: [0.00131, 0.0, 0.00011, 0.00012, 0.00139, 0.0, 0.0001, 0.0001, 0.00157, 0.0, 7e-05, 9e-05, 0.00184, 0.0, 0.00012, 0.00011, 0.0021, 0.0, 0.00011, 7e-05, 0.00191, 0.0, 0.0001, 8e-05, 0.00176, 0.0, 0.00018, 0.00013, 0.00367, 0.0, 0.00024, 0.00021, 0.00415, 0.0, 0.00042, 0.00029, 0.00857, 0.0, 0.00112, 0.00095, 0.02381, 0.0, 0.00471, 0.00392, 0.08798, 0.00131]\n",
      "Epoch 7\n",
      "-------------------------------\n",
      "loss: 0.002130  [    0/  391] grads: [0.00061, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 4e-05, 1e-05, 0.00056, 0.0, 3e-05, 1e-05, 0.00068, 0.0, 4e-05, 2e-05, 0.00099, 0.0, 6e-05, 3e-05, 0.0009, 0.0, 5e-05, 3e-05, 0.00088, 0.0, 6e-05, 5e-05, 0.00146, 0.0, 9e-05, 6e-05, 0.00177, 0.0, 0.00016, 0.00012, 0.00468, 0.0, 0.00064, 0.00043, 0.01362, 0.0, 0.00239, 0.00311, 0.05703, 0.00556]\n",
      "loss: 0.002129  [   32/  391] grads: [0.00055, 0.0, 3e-05, 0.00011, 0.00076, 0.0, 4e-05, 9e-05, 0.0008, 0.0, 3e-05, 7e-05, 0.00072, 0.0, 3e-05, 6e-05, 0.00078, 0.0, 3e-05, 3e-05, 0.00081, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 7e-05, 6e-05, 0.00166, 0.0, 0.00014, 0.00012, 0.00267, 0.0, 0.00027, 0.00019, 0.00421, 0.0, 0.0002, 0.00029, 0.006, 0.0, 0.00237, 0.0052, 0.03907, 0.00686]\n",
      "loss: 0.003496  [   64/  391] grads: [0.00059, 0.0, 0.00017, 0.00034, 0.00245, 0.0, 0.00014, 0.00026, 0.00193, 0.0, 0.00011, 0.00019, 0.00184, 0.0, 0.0001, 0.00016, 0.00164, 0.0, 0.0001, 0.0001, 0.00172, 0.0, 8e-05, 8e-05, 0.00137, 0.0, 0.00012, 0.00014, 0.00286, 0.0, 0.00024, 0.00029, 0.00432, 0.0, 0.00043, 0.00039, 0.00696, 0.0, 0.00086, 0.00069, 0.02525, 0.0, 0.00533, 0.00814, 0.09552, 0.00886]\n",
      "loss: 0.002436  [   96/  391] grads: [0.00096, 0.0, 9e-05, 5e-05, 0.00089, 0.0, 8e-05, 4e-05, 0.00074, 0.0, 6e-05, 3e-05, 0.0008, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 6e-05, 3e-05, 0.00099, 0.0, 6e-05, 3e-05, 0.00094, 0.0, 7e-05, 5e-05, 0.00177, 0.0, 0.0001, 7e-05, 0.00229, 0.0, 0.00017, 0.00013, 0.00492, 0.0, 0.00054, 0.00047, 0.01259, 0.0, 0.00244, 0.00205, 0.04745, 0.00328]\n",
      "loss: 0.003557  [  128/  391] grads: [0.00216, 0.0, 0.00012, 0.00021, 0.00158, 0.0, 0.00011, 0.00017, 0.00133, 0.0, 0.0001, 0.00011, 0.00131, 0.0, 8e-05, 9e-05, 0.00131, 0.0, 9e-05, 5e-05, 0.0015, 0.0, 7e-05, 4e-05, 0.00129, 0.0, 0.00014, 0.00011, 0.00262, 0.0, 0.00019, 0.00021, 0.00373, 0.0, 0.00028, 0.0003, 0.00586, 0.0, 0.00068, 0.00048, 0.02032, 0.0, 0.00466, 0.00791, 0.08237, 0.00907]\n",
      "loss: 0.004684  [  160/  391] grads: [0.00209, 0.0, 8e-05, 0.00019, 0.00175, 0.0, 0.00011, 0.00016, 0.00158, 0.0, 7e-05, 0.00013, 0.00159, 0.0, 0.00012, 0.00015, 0.00167, 0.0, 7e-05, 8e-05, 0.00156, 0.0, 7e-05, 7e-05, 0.00131, 0.0, 0.00014, 0.00012, 0.00262, 0.0, 0.00031, 0.0003, 0.00526, 0.0, 0.0005, 0.00043, 0.01046, 0.0, 0.00117, 0.00097, 0.02567, 0.0, 0.00593, 0.01065, 0.09642, 0.0121]\n",
      "loss: 0.002866  [  192/  391] grads: [0.0015, 0.0, 0.00012, 0.00014, 0.00169, 0.0, 0.00011, 0.00011, 0.00133, 0.0, 0.0001, 8e-05, 0.00142, 0.0, 9e-05, 8e-05, 0.00139, 0.0, 7e-05, 4e-05, 0.00162, 0.0, 9e-05, 5e-05, 0.00128, 0.0, 0.00012, 8e-05, 0.00245, 0.0, 0.00018, 0.00013, 0.003, 0.0, 0.00028, 0.0002, 0.00555, 0.0, 0.00065, 0.00053, 0.01459, 0.0, 0.00352, 0.00222, 0.06053, 0.00044]\n",
      "loss: 0.003408  [  224/  391] grads: [0.00231, 0.0, 0.00013, 4e-05, 0.00168, 0.0, 0.00014, 5e-05, 0.00135, 0.0, 0.00013, 4e-05, 0.00131, 0.0, 0.00014, 5e-05, 0.00144, 0.0, 9e-05, 4e-05, 0.00124, 0.0, 8e-05, 4e-05, 0.00143, 0.0, 0.00015, 8e-05, 0.00296, 0.0, 0.00028, 0.00017, 0.00528, 0.0, 0.00045, 0.0004, 0.00878, 0.0, 0.0011, 0.00119, 0.02509, 0.0, 0.00415, 0.00734, 0.07501, 0.01129]\n",
      "loss: 0.002376  [  256/  391] grads: [0.00076, 0.0, 4e-05, 3e-05, 0.00074, 0.0, 3e-05, 2e-05, 0.00088, 0.0, 5e-05, 3e-05, 0.00092, 0.0, 9e-05, 6e-05, 0.00149, 0.0, 7e-05, 4e-05, 0.00128, 0.0, 7e-05, 5e-05, 0.00132, 0.0, 0.00014, 0.0001, 0.00259, 0.0, 0.00025, 0.00019, 0.00499, 0.0, 0.00033, 0.0003, 0.0082, 0.0, 0.00104, 0.00076, 0.01794, 0.0, 0.00191, 0.00111, 0.04286, 0.00038]\n",
      "loss: 0.006046  [  288/  391] grads: [0.00078, 0.0, 0.00016, 0.00023, 0.00196, 0.0, 0.00013, 0.00016, 0.00156, 0.0, 0.00011, 0.0001, 0.00175, 0.0, 0.00013, 0.00012, 0.00212, 0.0, 0.00012, 7e-05, 0.00222, 0.0, 0.00012, 9e-05, 0.00201, 0.0, 0.00029, 0.00017, 0.00409, 0.0, 0.00042, 0.00029, 0.0065, 0.0, 0.0008, 0.0005, 0.01578, 0.0, 0.00192, 0.00163, 0.04048, 0.0, 0.00819, 0.0057, 0.16274, 0.00829]\n",
      "loss: 0.002512  [  320/  391] grads: [0.00118, 0.0, 8e-05, 5e-05, 0.00112, 0.0, 5e-05, 3e-05, 0.0015, 0.0, 0.0001, 5e-05, 0.00174, 0.0, 0.00014, 8e-05, 0.00243, 0.0, 0.00013, 8e-05, 0.00189, 0.0, 0.0001, 7e-05, 0.00195, 0.0, 0.00021, 0.00012, 0.00307, 0.0, 0.00019, 0.00014, 0.00412, 0.0, 0.00035, 0.00025, 0.00881, 0.0, 0.00074, 0.00058, 0.01791, 0.0, 0.0031, 0.0023, 0.06067, 0.00116]\n",
      "loss: 0.003769  [  352/  391] grads: [0.00108, 0.0, 0.00013, 0.00011, 0.00145, 0.0, 0.00012, 8e-05, 0.00118, 0.0, 9e-05, 5e-05, 0.00123, 0.0, 9e-05, 9e-05, 0.00146, 0.0, 8e-05, 5e-05, 0.00123, 0.0, 6e-05, 4e-05, 0.00117, 0.0, 0.00014, 8e-05, 0.00225, 0.0, 0.00022, 0.00014, 0.00401, 0.0, 0.00047, 0.00031, 0.00903, 0.0, 0.00139, 0.00099, 0.03107, 0.0, 0.00629, 0.00594, 0.15152, 0.01155]\n",
      "loss: 0.002703  [  168/  391] grads: [0.00121, 0.0, 0.00012, 9e-05, 0.00126, 0.0, 9e-05, 6e-05, 0.001, 0.0, 6e-05, 5e-05, 0.00142, 0.0, 0.00011, 0.0001, 0.00156, 0.0, 7e-05, 5e-05, 0.00175, 0.0, 8e-05, 5e-05, 0.00154, 0.0, 0.00015, 0.0001, 0.00314, 0.0, 0.00021, 0.00015, 0.00364, 0.0, 0.00037, 0.00025, 0.00685, 0.0, 0.00091, 0.00075, 0.01963, 0.0, 0.00375, 0.0041, 0.08825, 0.00797]\n",
      "Epoch 8\n",
      "-------------------------------\n",
      "loss: 0.002869  [    0/  391] grads: [0.00089, 0.0, 9e-05, 5e-05, 0.001, 0.0, 7e-05, 3e-05, 0.00116, 0.0, 6e-05, 3e-05, 0.00144, 0.0, 0.0001, 6e-05, 0.00161, 0.0, 8e-05, 5e-05, 0.0017, 0.0, 9e-05, 6e-05, 0.00133, 0.0, 0.00011, 9e-05, 0.00266, 0.0, 0.00017, 0.00013, 0.00336, 0.0, 0.00029, 0.00023, 0.00775, 0.0, 0.00079, 0.00066, 0.01635, 0.0, 0.00293, 0.0063, 0.06843, 0.01071]\n",
      "loss: 0.002160  [   32/  391] grads: [0.00077, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 4e-05, 2e-05, 0.0007, 0.0, 5e-05, 4e-05, 0.00091, 0.0, 7e-05, 4e-05, 0.00117, 0.0, 8e-05, 5e-05, 0.00114, 0.0, 6e-05, 4e-05, 0.00107, 0.0, 9e-05, 7e-05, 0.00207, 0.0, 0.00012, 9e-05, 0.00219, 0.0, 0.00018, 0.00018, 0.00371, 0.0, 0.00035, 0.0003, 0.00848, 0.0, 0.0022, 0.00493, 0.03926, 0.00745]\n",
      "loss: 0.005040  [   64/  391] grads: [0.00198, 0.0, 8e-05, 0.00033, 0.00196, 0.0, 8e-05, 0.00025, 0.00171, 0.0, 7e-05, 0.00019, 0.00173, 0.0, 0.00011, 0.00017, 0.00174, 0.0, 8e-05, 0.0001, 0.00186, 0.0, 0.0001, 8e-05, 0.0017, 0.0, 0.00016, 0.00014, 0.00356, 0.0, 0.00021, 0.00026, 0.00445, 0.0, 0.00039, 0.00038, 0.00631, 0.0, 0.00079, 0.00069, 0.02525, 0.0, 0.00643, 0.01195, 0.10783, 0.01543]\n",
      "loss: 0.003577  [   96/  391] grads: [0.00201, 0.0, 0.00015, 0.00014, 0.00148, 0.0, 0.00013, 0.00011, 0.00119, 0.0, 0.0001, 7e-05, 0.0012, 0.0, 8e-05, 7e-05, 0.00155, 0.0, 0.0001, 5e-05, 0.00141, 0.0, 8e-05, 5e-05, 0.00141, 0.0, 0.00015, 8e-05, 0.0031, 0.0, 0.00019, 0.00015, 0.00366, 0.0, 0.00032, 0.00022, 0.00669, 0.0, 0.00093, 0.0008, 0.0223, 0.0, 0.00565, 0.00306, 0.10744, 0.00075]\n",
      "loss: 0.002690  [  128/  391] grads: [0.00095, 0.0, 5e-05, 0.00012, 0.0008, 0.0, 5e-05, 9e-05, 0.00072, 0.0, 5e-05, 7e-05, 0.00057, 0.0, 3e-05, 5e-05, 0.00091, 0.0, 4e-05, 4e-05, 0.00081, 0.0, 4e-05, 4e-05, 0.00085, 0.0, 8e-05, 7e-05, 0.00162, 0.0, 0.00013, 0.00013, 0.00235, 0.0, 0.00022, 0.00019, 0.0045, 0.0, 0.0005, 0.00027, 0.0155, 0.0, 0.00334, 0.00538, 0.05822, 0.00646]\n",
      "loss: 0.002575  [  160/  391] grads: [0.00132, 0.0, 5e-05, 7e-05, 0.00094, 0.0, 6e-05, 6e-05, 0.00082, 0.0, 6e-05, 5e-05, 0.00077, 0.0, 6e-05, 5e-05, 0.00088, 0.0, 4e-05, 3e-05, 0.00091, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 9e-05, 6e-05, 0.00176, 0.0, 0.00014, 0.0001, 0.00227, 0.0, 0.0002, 0.00015, 0.00485, 0.0, 0.00083, 0.00044, 0.0189, 0.0, 0.00286, 0.00445, 0.0525, 0.00467]\n",
      "loss: 0.002778  [  192/  391] grads: [0.00083, 0.0, 8e-05, 0.00015, 0.00121, 0.0, 7e-05, 0.00012, 0.00102, 0.0, 7e-05, 7e-05, 0.00093, 0.0, 7e-05, 6e-05, 0.00087, 0.0, 5e-05, 4e-05, 0.00092, 0.0, 5e-05, 4e-05, 0.00093, 0.0, 9e-05, 7e-05, 0.0018, 0.0, 0.00014, 0.00011, 0.00231, 0.0, 0.00021, 0.00014, 0.0041, 0.0, 0.0006, 0.00037, 0.01253, 0.0, 0.00311, 0.00248, 0.05916, 0.00101]\n",
      "loss: 0.003225  [  224/  391] grads: [0.00297, 0.0, 0.0002, 0.00013, 0.00242, 0.0, 0.00017, 0.0001, 0.00163, 0.0, 0.00015, 6e-05, 0.00144, 0.0, 0.00011, 5e-05, 0.00143, 0.0, 9e-05, 4e-05, 0.00137, 0.0, 8e-05, 5e-05, 0.00144, 0.0, 0.00017, 9e-05, 0.00272, 0.0, 0.00023, 0.00015, 0.00433, 0.0, 0.00041, 0.00032, 0.00758, 0.0, 0.0009, 0.00098, 0.02131, 0.0, 0.00475, 0.00592, 0.09262, 0.00947]\n",
      "loss: 0.002552  [  256/  391] grads: [0.00091, 0.0, 6e-05, 0.0001, 0.00088, 0.0, 5e-05, 8e-05, 0.00095, 0.0, 5e-05, 7e-05, 0.00097, 0.0, 8e-05, 7e-05, 0.00119, 0.0, 6e-05, 4e-05, 0.00129, 0.0, 8e-05, 5e-05, 0.00112, 0.0, 0.00011, 6e-05, 0.00233, 0.0, 0.00015, 9e-05, 0.00283, 0.0, 0.00025, 0.00014, 0.00517, 0.0, 0.00041, 0.00033, 0.00907, 0.0, 0.00194, 0.0028, 0.02931, 0.00346]\n",
      "loss: 0.008152  [  288/  391] grads: [0.00234, 0.0, 0.00021, 0.0001, 0.00236, 0.0, 0.00019, 7e-05, 0.00163, 0.0, 0.00015, 5e-05, 0.00149, 0.0, 0.00012, 5e-05, 0.00177, 0.0, 0.00013, 6e-05, 0.00171, 0.0, 0.00011, 7e-05, 0.00194, 0.0, 0.00019, 0.0001, 0.00299, 0.0, 0.00026, 0.00018, 0.00574, 0.0, 0.00077, 0.00056, 0.01464, 0.0, 0.00181, 0.00149, 0.03945, 0.0, 0.01008, 0.01431, 0.20438, 0.02218]\n",
      "loss: 0.003536  [  320/  391] grads: [0.00121, 0.0, 8e-05, 6e-05, 0.00098, 0.0, 6e-05, 5e-05, 0.00096, 0.0, 5e-05, 4e-05, 0.0012, 0.0, 8e-05, 4e-05, 0.00147, 0.0, 8e-05, 5e-05, 0.00123, 0.0, 8e-05, 4e-05, 0.00131, 0.0, 0.00013, 9e-05, 0.00183, 0.0, 0.00012, 0.00014, 0.00249, 0.0, 0.00021, 0.00024, 0.00531, 0.0, 0.00055, 0.00045, 0.00876, 0.0, 0.00371, 0.00731, 0.06391, 0.01011]\n",
      "loss: 0.003091  [  352/  391] grads: [0.00231, 0.0, 0.00015, 6e-05, 0.00213, 0.0, 0.00015, 4e-05, 0.00175, 0.0, 0.00016, 6e-05, 0.0017, 0.0, 0.00013, 7e-05, 0.00192, 0.0, 0.00011, 6e-05, 0.00171, 0.0, 0.0001, 6e-05, 0.00177, 0.0, 0.0002, 0.00011, 0.00338, 0.0, 0.00025, 0.00017, 0.0047, 0.0, 0.00055, 0.00039, 0.00961, 0.0, 0.00085, 0.00094, 0.02015, 0.0, 0.00501, 0.0069, 0.10463, 0.01139]\n",
      "loss: 0.002323  [  168/  391] grads: [0.00134, 0.0, 0.0001, 6e-05, 0.00117, 0.0, 6e-05, 4e-05, 0.00099, 0.0, 4e-05, 3e-05, 0.0014, 0.0, 8e-05, 5e-05, 0.00181, 0.0, 0.0001, 6e-05, 0.00157, 0.0, 9e-05, 6e-05, 0.00167, 0.0, 0.00015, 9e-05, 0.00264, 0.0, 0.00016, 0.00012, 0.00289, 0.0, 0.00022, 0.00015, 0.0045, 0.0, 0.00056, 0.00048, 0.01231, 0.0, 0.00267, 0.00157, 0.05191, 0.00214]\n",
      "Epoch 9\n",
      "-------------------------------\n",
      "loss: 0.002477  [    0/  391] grads: [0.0017, 0.0, 0.00011, 5e-05, 0.00143, 0.0, 6e-05, 4e-05, 0.00125, 0.0, 6e-05, 4e-05, 0.00181, 0.0, 9e-05, 6e-05, 0.00245, 0.0, 0.00014, 9e-05, 0.00232, 0.0, 0.00012, 8e-05, 0.00205, 0.0, 0.00019, 0.00013, 0.00318, 0.0, 0.00017, 0.00014, 0.00392, 0.0, 0.00034, 0.00026, 0.00894, 0.0, 0.00096, 0.0008, 0.01856, 0.0, 0.00232, 0.00383, 0.05078, 0.00633]\n",
      "loss: 0.001600  [   32/  391] grads: [0.00111, 0.0, 5e-05, 6e-05, 0.00085, 0.0, 5e-05, 4e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 4e-05, 3e-05, 0.00092, 0.0, 5e-05, 3e-05, 0.00082, 0.0, 5e-05, 3e-05, 0.00089, 0.0, 8e-05, 5e-05, 0.00147, 0.0, 9e-05, 6e-05, 0.00158, 0.0, 0.00012, 8e-05, 0.0028, 0.0, 0.00035, 0.0004, 0.00623, 0.0, 0.00081, 0.00062, 0.01368, 0.00037]\n",
      "loss: 0.003171  [   64/  391] grads: [0.00126, 0.0, 9e-05, 0.0002, 0.00134, 0.0, 6e-05, 0.00014, 0.00114, 0.0, 6e-05, 0.0001, 0.00144, 0.0, 0.00011, 9e-05, 0.00158, 0.0, 0.0001, 7e-05, 0.00205, 0.0, 0.00011, 7e-05, 0.00161, 0.0, 0.00014, 0.00011, 0.00296, 0.0, 0.00018, 0.00019, 0.00367, 0.0, 0.00034, 0.00028, 0.00493, 0.0, 0.00047, 0.00047, 0.01152, 0.0, 0.0043, 0.00878, 0.07197, 0.0121]\n",
      "loss: 0.003352  [   96/  391] grads: [0.00166, 0.0, 0.00013, 3e-05, 0.00133, 0.0, 0.0001, 4e-05, 0.00107, 0.0, 8e-05, 2e-05, 0.00119, 0.0, 0.00012, 5e-05, 0.00186, 0.0, 0.00011, 6e-05, 0.00178, 0.0, 0.0001, 7e-05, 0.00168, 0.0, 0.00014, 8e-05, 0.0025, 0.0, 0.00017, 0.00012, 0.00312, 0.0, 0.00023, 0.00024, 0.00577, 0.0, 0.00061, 0.00062, 0.01323, 0.0, 0.0031, 0.00646, 0.05878, 0.00954]\n",
      "loss: 0.003902  [  128/  391] grads: [0.00055, 0.0, 4e-05, 0.0002, 0.00106, 0.0, 4e-05, 0.00015, 0.00106, 0.0, 5e-05, 0.0001, 0.00111, 0.0, 7e-05, 7e-05, 0.0013, 0.0, 7e-05, 5e-05, 0.00124, 0.0, 6e-05, 4e-05, 0.00114, 0.0, 0.0001, 9e-05, 0.00205, 0.0, 0.00013, 0.00018, 0.00278, 0.0, 0.0002, 0.00028, 0.00371, 0.0, 0.00059, 0.00043, 0.01756, 0.0, 0.00516, 0.00961, 0.08659, 0.01229]\n",
      "loss: 0.002997  [  160/  391] grads: [0.00251, 0.0, 0.00011, 8e-05, 0.00174, 0.0, 0.0001, 6e-05, 0.00135, 0.0, 0.00011, 5e-05, 0.00134, 0.0, 0.0001, 5e-05, 0.00163, 0.0, 9e-05, 5e-05, 0.00169, 0.0, 0.0001, 7e-05, 0.00145, 0.0, 0.00014, 0.00011, 0.00287, 0.0, 0.00025, 0.00019, 0.00377, 0.0, 0.00039, 0.00026, 0.00672, 0.0, 0.00071, 0.00064, 0.0149, 0.0, 0.00331, 0.00623, 0.05725, 0.00804]\n",
      "loss: 0.002387  [  192/  391] grads: [0.00112, 0.0, 0.00011, 0.0002, 0.00142, 0.0, 7e-05, 0.00014, 0.00119, 0.0, 5e-05, 0.0001, 0.00118, 0.0, 9e-05, 0.0001, 0.00173, 0.0, 8e-05, 6e-05, 0.0022, 0.0, 0.00011, 7e-05, 0.00157, 0.0, 0.00011, 8e-05, 0.00213, 0.0, 0.00013, 0.00011, 0.00237, 0.0, 0.00026, 0.00017, 0.00408, 0.0, 0.00033, 0.00034, 0.0087, 0.0, 0.00167, 0.00121, 0.02662, 0.00066]\n",
      "loss: 0.002423  [  224/  391] grads: [0.00115, 0.0, 0.0001, 9e-05, 0.00121, 0.0, 8e-05, 7e-05, 0.0008, 0.0, 6e-05, 5e-05, 0.00073, 0.0, 6e-05, 5e-05, 0.0008, 0.0, 5e-05, 3e-05, 0.00105, 0.0, 6e-05, 4e-05, 0.00089, 0.0, 9e-05, 6e-05, 0.00165, 0.0, 0.00013, 0.0001, 0.00267, 0.0, 0.00032, 0.00023, 0.00554, 0.0, 0.00073, 0.00068, 0.0146, 0.0, 0.00363, 0.00229, 0.06613, 0.00233]\n",
      "loss: 0.002309  [  256/  391] grads: [0.00079, 0.0, 4e-05, 2e-05, 0.00072, 0.0, 3e-05, 2e-05, 0.00067, 0.0, 5e-05, 3e-05, 0.00074, 0.0, 5e-05, 3e-05, 0.00089, 0.0, 5e-05, 3e-05, 0.00096, 0.0, 6e-05, 3e-05, 0.00088, 0.0, 8e-05, 4e-05, 0.00153, 0.0, 0.00012, 9e-05, 0.00208, 0.0, 0.00018, 0.00017, 0.00402, 0.0, 0.00039, 0.00043, 0.00717, 0.0, 0.00095, 0.00107, 0.01882, 0.00148]\n",
      "loss: 0.007121  [  288/  391] grads: [0.00191, 0.0, 0.00019, 5e-05, 0.00214, 0.0, 0.00015, 5e-05, 0.00154, 0.0, 0.00012, 4e-05, 0.00182, 0.0, 0.00012, 7e-05, 0.00185, 0.0, 0.00012, 6e-05, 0.00207, 0.0, 0.00012, 7e-05, 0.0019, 0.0, 0.00018, 0.00011, 0.00295, 0.0, 0.00029, 0.00023, 0.00619, 0.0, 0.00074, 0.00061, 0.01244, 0.0, 0.00173, 0.00166, 0.03585, 0.0, 0.00876, 0.01279, 0.18131, 0.02055]\n",
      "loss: 0.002157  [  320/  391] grads: [0.00043, 0.0, 1e-05, 6e-05, 0.00038, 0.0, 2e-05, 5e-05, 0.00043, 0.0, 3e-05, 3e-05, 0.00047, 0.0, 3e-05, 3e-05, 0.00063, 0.0, 4e-05, 3e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.0008, 0.0, 6e-05, 4e-05, 0.00104, 0.0, 7e-05, 7e-05, 0.00128, 0.0, 9e-05, 0.00011, 0.00166, 0.0, 0.00014, 0.00013, 0.00285, 0.0, 0.00193, 0.00356, 0.03146, 0.00496]\n",
      "loss: 0.003829  [  352/  391] grads: [0.00225, 0.0, 0.00021, 7e-05, 0.00239, 0.0, 0.00017, 6e-05, 0.00171, 0.0, 0.00015, 5e-05, 0.00159, 0.0, 0.00011, 5e-05, 0.00169, 0.0, 0.0001, 5e-05, 0.00143, 0.0, 8e-05, 4e-05, 0.00142, 0.0, 0.00016, 9e-05, 0.00233, 0.0, 0.00023, 0.00017, 0.00424, 0.0, 0.00049, 0.00043, 0.00911, 0.0, 0.00106, 0.00108, 0.02393, 0.0, 0.00561, 0.00917, 0.12937, 0.01595]\n",
      "loss: 0.001991  [  168/  391] grads: [0.00085, 0.0, 6e-05, 4e-05, 0.00076, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 2e-05, 2e-05, 0.00081, 0.0, 5e-05, 3e-05, 0.00115, 0.0, 7e-05, 4e-05, 0.00112, 0.0, 6e-05, 5e-05, 0.00107, 0.0, 9e-05, 6e-05, 0.00166, 0.0, 0.00013, 0.0001, 0.00235, 0.0, 0.00025, 0.00015, 0.00425, 0.0, 0.0007, 0.00043, 0.0144, 0.0, 0.00237, 0.00173, 0.05833, 0.00329]\n",
      "Epoch 10\n",
      "-------------------------------\n",
      "loss: 0.002205  [    0/  391] grads: [0.00148, 0.0, 8e-05, 4e-05, 0.00105, 0.0, 5e-05, 3e-05, 0.00105, 0.0, 8e-05, 5e-05, 0.00127, 0.0, 9e-05, 5e-05, 0.00143, 0.0, 7e-05, 5e-05, 0.00149, 0.0, 9e-05, 5e-05, 0.00125, 0.0, 0.00011, 8e-05, 0.00232, 0.0, 0.00017, 0.00014, 0.00345, 0.0, 0.00026, 0.00026, 0.00641, 0.0, 0.0006, 0.00053, 0.01164, 0.0, 0.00199, 0.00437, 0.04495, 0.00719]\n",
      "loss: 0.001921  [   32/  391] grads: [0.00043, 0.0, 2e-05, 6e-05, 0.00049, 0.0, 3e-05, 5e-05, 0.00045, 0.0, 3e-05, 3e-05, 0.00061, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 4e-05, 3e-05, 0.0008, 0.0, 5e-05, 3e-05, 0.00094, 0.0, 8e-05, 5e-05, 0.00138, 0.0, 0.00011, 9e-05, 0.00183, 0.0, 0.00021, 0.00019, 0.00378, 0.0, 0.00024, 0.0002, 0.00602, 0.0, 0.00186, 0.00411, 0.03335, 0.00608]\n",
      "loss: 0.003509  [   64/  391] grads: [0.00141, 0.0, 5e-05, 0.00017, 0.00093, 0.0, 4e-05, 0.00012, 0.00084, 0.0, 4e-05, 9e-05, 0.00091, 0.0, 4e-05, 7e-05, 0.00091, 0.0, 5e-05, 5e-05, 0.00102, 0.0, 6e-05, 5e-05, 0.00096, 0.0, 7e-05, 8e-05, 0.00177, 0.0, 0.00014, 0.00018, 0.00278, 0.0, 0.0003, 0.0003, 0.00463, 0.0, 0.00063, 0.00043, 0.01526, 0.0, 0.00468, 0.00884, 0.08192, 0.01212]\n",
      "loss: 0.003433  [   96/  391] grads: [0.00186, 0.0, 0.00014, 0.00011, 0.00127, 0.0, 0.0001, 7e-05, 0.00108, 0.0, 7e-05, 5e-05, 0.00154, 0.0, 0.00011, 7e-05, 0.00157, 0.0, 7e-05, 5e-05, 0.00193, 0.0, 0.00011, 8e-05, 0.00158, 0.0, 0.00017, 9e-05, 0.0029, 0.0, 0.00021, 0.00015, 0.004, 0.0, 0.00037, 0.0003, 0.00806, 0.0, 0.00107, 0.00094, 0.02108, 0.0, 0.00464, 0.00437, 0.08799, 0.00683]\n",
      "loss: 0.001767  [  128/  391] grads: [0.00048, 0.0, 3e-05, 4e-05, 0.00044, 0.0, 2e-05, 3e-05, 0.0004, 0.0, 3e-05, 3e-05, 0.00053, 0.0, 3e-05, 3e-05, 0.00055, 0.0, 3e-05, 2e-05, 0.00071, 0.0, 4e-05, 2e-05, 0.00064, 0.0, 7e-05, 3e-05, 0.00134, 0.0, 0.00011, 6e-05, 0.0017, 0.0, 0.00012, 8e-05, 0.00221, 0.0, 0.00033, 0.00021, 0.0088, 0.0, 0.00146, 0.00206, 0.02586, 0.00248]\n",
      "loss: 0.001883  [  160/  391] grads: [0.00073, 0.0, 6e-05, 3e-05, 0.00079, 0.0, 5e-05, 2e-05, 0.00073, 0.0, 5e-05, 2e-05, 0.0008, 0.0, 5e-05, 3e-05, 0.00105, 0.0, 6e-05, 4e-05, 0.00097, 0.0, 5e-05, 3e-05, 0.00109, 0.0, 0.00011, 7e-05, 0.00188, 0.0, 0.00013, 0.0001, 0.00207, 0.0, 0.00019, 0.00013, 0.00333, 0.0, 0.00038, 0.0003, 0.00898, 0.0, 0.00169, 0.0029, 0.03027, 0.00359]\n",
      "loss: 0.002208  [  192/  391] grads: [0.0011, 0.0, 0.0001, 0.00014, 0.00109, 0.0, 7e-05, 9e-05, 0.00088, 0.0, 5e-05, 7e-05, 0.00104, 0.0, 8e-05, 7e-05, 0.00114, 0.0, 7e-05, 5e-05, 0.00157, 0.0, 9e-05, 6e-05, 0.00124, 0.0, 0.00012, 7e-05, 0.00222, 0.0, 0.00014, 0.00011, 0.00246, 0.0, 0.0002, 0.00017, 0.00381, 0.0, 0.00035, 0.00033, 0.00837, 0.0, 0.00198, 0.0023, 0.03796, 0.00382]\n",
      "loss: 0.002572  [  224/  391] grads: [0.00146, 0.0, 0.00011, 0.00011, 0.00137, 0.0, 9e-05, 8e-05, 0.00089, 0.0, 8e-05, 5e-05, 0.00095, 0.0, 6e-05, 4e-05, 0.00088, 0.0, 5e-05, 3e-05, 0.001, 0.0, 6e-05, 4e-05, 0.00104, 0.0, 0.00012, 7e-05, 0.00188, 0.0, 0.00015, 0.00013, 0.00313, 0.0, 0.00031, 0.00026, 0.00552, 0.0, 0.00093, 0.0009, 0.01745, 0.0, 0.0039, 0.00427, 0.07429, 0.00681]\n",
      "loss: 0.001983  [  256/  391] grads: [0.00035, 0.0, 2e-05, 6e-05, 0.0004, 0.0, 2e-05, 5e-05, 0.00039, 0.0, 3e-05, 3e-05, 0.00048, 0.0, 2e-05, 3e-05, 0.0006, 0.0, 3e-05, 2e-05, 0.00068, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 7e-05, 4e-05, 0.00118, 0.0, 8e-05, 5e-05, 0.00133, 0.0, 8e-05, 7e-05, 0.00213, 0.0, 0.00022, 0.00017, 0.00511, 0.0, 0.00118, 0.00177, 0.01926, 0.00242]\n",
      "loss: 0.006626  [  288/  391] grads: [0.00169, 0.0, 0.00018, 0.00013, 0.00199, 0.0, 0.00015, 9e-05, 0.00135, 0.0, 0.00012, 6e-05, 0.00158, 0.0, 0.0001, 8e-05, 0.00173, 0.0, 0.00011, 6e-05, 0.00176, 0.0, 0.00013, 8e-05, 0.00165, 0.0, 0.00018, 0.0001, 0.00271, 0.0, 0.00025, 0.0002, 0.00518, 0.0, 0.00059, 0.00056, 0.01089, 0.0, 0.00149, 0.00144, 0.03051, 0.0, 0.00801, 0.01239, 0.16417, 0.01972]\n",
      "loss: 0.001960  [  320/  391] grads: [0.00073, 0.0, 5e-05, 2e-05, 0.00091, 0.0, 5e-05, 2e-05, 0.00085, 0.0, 5e-05, 2e-05, 0.00125, 0.0, 9e-05, 4e-05, 0.00121, 0.0, 6e-05, 3e-05, 0.00126, 0.0, 7e-05, 4e-05, 0.00106, 0.0, 0.0001, 5e-05, 0.00191, 0.0, 0.00011, 7e-05, 0.00218, 0.0, 0.00019, 0.00015, 0.00447, 0.0, 0.0005, 0.00036, 0.00977, 0.0, 0.00159, 0.00133, 0.03166, 0.00093]\n",
      "loss: 0.003430  [  352/  391] grads: [0.00242, 0.0, 0.00021, 0.0001, 0.00217, 0.0, 0.00018, 7e-05, 0.00151, 0.0, 0.00014, 4e-05, 0.00139, 0.0, 0.00012, 4e-05, 0.00158, 0.0, 0.00011, 5e-05, 0.00144, 0.0, 0.0001, 5e-05, 0.00197, 0.0, 0.00019, 9e-05, 0.00286, 0.0, 0.00023, 0.00015, 0.00434, 0.0, 0.00053, 0.00047, 0.01001, 0.0, 0.00114, 0.00112, 0.02519, 0.0, 0.00642, 0.0077, 0.14155, 0.01345]\n",
      "loss: 0.002613  [  168/  391] grads: [0.00192, 0.0, 0.00012, 5e-05, 0.00121, 0.0, 9e-05, 5e-05, 0.00097, 0.0, 6e-05, 3e-05, 0.00131, 0.0, 8e-05, 4e-05, 0.00144, 0.0, 8e-05, 4e-05, 0.00175, 0.0, 9e-05, 5e-05, 0.00157, 0.0, 0.00012, 9e-05, 0.00208, 0.0, 0.00016, 0.00016, 0.00349, 0.0, 0.00034, 0.00035, 0.00661, 0.0, 0.00058, 0.00064, 0.01342, 0.0, 0.00407, 0.00803, 0.08657, 0.01334]\n",
      "Epoch 11\n",
      "-------------------------------\n",
      "loss: 0.002122  [    0/  391] grads: [0.00107, 0.0, 7e-05, 5e-05, 0.00099, 0.0, 4e-05, 3e-05, 0.00097, 0.0, 5e-05, 3e-05, 0.00122, 0.0, 7e-05, 4e-05, 0.00131, 0.0, 7e-05, 4e-05, 0.00153, 0.0, 9e-05, 6e-05, 0.00137, 0.0, 0.00012, 9e-05, 0.00239, 0.0, 0.00016, 0.00013, 0.00297, 0.0, 0.00027, 0.00025, 0.00667, 0.0, 0.00067, 0.00052, 0.01163, 0.0, 0.00221, 0.00495, 0.04737, 0.00777]\n",
      "loss: 0.001811  [   32/  391] grads: [0.00131, 0.0, 8e-05, 8e-05, 0.00103, 0.0, 7e-05, 6e-05, 0.00071, 0.0, 5e-05, 4e-05, 0.00094, 0.0, 5e-05, 4e-05, 0.00077, 0.0, 5e-05, 3e-05, 0.00096, 0.0, 6e-05, 4e-05, 0.001, 0.0, 7e-05, 5e-05, 0.0015, 0.0, 0.00013, 9e-05, 0.0019, 0.0, 0.00016, 0.00012, 0.00297, 0.0, 0.00036, 0.00035, 0.00617, 0.0, 0.00218, 0.0031, 0.03762, 0.00392]\n",
      "loss: 0.001913  [   64/  391] grads: [0.00117, 0.0, 0.0001, 7e-05, 0.00097, 0.0, 7e-05, 5e-05, 0.0008, 0.0, 6e-05, 4e-05, 0.001, 0.0, 6e-05, 4e-05, 0.0011, 0.0, 7e-05, 4e-05, 0.00115, 0.0, 7e-05, 5e-05, 0.00136, 0.0, 0.00012, 8e-05, 0.00202, 0.0, 0.00012, 9e-05, 0.00217, 0.0, 0.00013, 0.00011, 0.00366, 0.0, 0.00042, 0.00037, 0.00846, 0.0, 0.0013, 0.0015, 0.02207, 0.00189]\n",
      "loss: 0.002938  [   96/  391] grads: [0.00197, 0.0, 0.00015, 7e-05, 0.00155, 0.0, 9e-05, 4e-05, 0.0014, 0.0, 0.0001, 4e-05, 0.0018, 0.0, 0.00011, 6e-05, 0.00182, 0.0, 9e-05, 5e-05, 0.00216, 0.0, 0.00014, 8e-05, 0.00202, 0.0, 0.00017, 0.0001, 0.00326, 0.0, 0.0002, 0.00015, 0.00388, 0.0, 0.00031, 0.00023, 0.00722, 0.0, 0.00085, 0.00073, 0.0168, 0.0, 0.00272, 0.00208, 0.04967, 0.00282]\n",
      "loss: 0.001768  [  128/  391] grads: [0.00079, 0.0, 5e-05, 3e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 2e-05, 3e-05, 0.00046, 0.0, 3e-05, 3e-05, 0.00062, 0.0, 4e-05, 4e-05, 0.00068, 0.0, 6e-05, 4e-05, 0.00125, 0.0, 0.00013, 9e-05, 0.00205, 0.0, 0.00017, 0.0001, 0.00306, 0.0, 0.00017, 0.00017, 0.00428, 0.0, 0.00063, 0.00045, 0.01075, 0.00041]\n",
      "loss: 0.001782  [  160/  391] grads: [0.00079, 0.0, 6e-05, 8e-05, 0.00073, 0.0, 3e-05, 5e-05, 0.00078, 0.0, 4e-05, 5e-05, 0.00091, 0.0, 5e-05, 4e-05, 0.00104, 0.0, 6e-05, 4e-05, 0.00114, 0.0, 7e-05, 5e-05, 0.0011, 0.0, 0.0001, 7e-05, 0.00187, 0.0, 0.00014, 0.00011, 0.00221, 0.0, 0.00021, 0.00014, 0.00344, 0.0, 0.00055, 0.00037, 0.01032, 0.0, 0.00239, 0.00184, 0.04355, 0.00072]\n",
      "loss: 0.002480  [  192/  391] grads: [0.00142, 0.0, 0.00011, 0.00015, 0.00142, 0.0, 9e-05, 0.00012, 0.00119, 0.0, 8e-05, 8e-05, 0.00111, 0.0, 8e-05, 7e-05, 0.00113, 0.0, 6e-05, 5e-05, 0.00147, 0.0, 9e-05, 6e-05, 0.00134, 0.0, 0.00013, 9e-05, 0.00235, 0.0, 0.00016, 0.00013, 0.00309, 0.0, 0.00026, 0.00022, 0.00499, 0.0, 0.0006, 0.00058, 0.01326, 0.0, 0.00286, 0.00234, 0.04611, 0.00309]\n",
      "loss: 0.002280  [  224/  391] grads: [0.00124, 0.0, 6e-05, 0.00011, 0.00119, 0.0, 5e-05, 9e-05, 0.00101, 0.0, 6e-05, 6e-05, 0.00092, 0.0, 6e-05, 5e-05, 0.001, 0.0, 7e-05, 5e-05, 0.00111, 0.0, 7e-05, 5e-05, 0.00121, 0.0, 0.00012, 7e-05, 0.002, 0.0, 0.00016, 0.0001, 0.00314, 0.0, 0.00026, 0.00024, 0.00517, 0.0, 0.00091, 0.00092, 0.01693, 0.0, 0.00357, 0.00306, 0.0623, 0.0042]\n",
      "loss: 0.002257  [  256/  391] grads: [0.00076, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 4e-05, 4e-05, 0.00096, 0.0, 9e-05, 3e-05, 0.00101, 0.0, 7e-05, 3e-05, 0.00116, 0.0, 7e-05, 4e-05, 0.001, 0.0, 5e-05, 3e-05, 0.00124, 0.0, 0.00012, 7e-05, 0.00222, 0.0, 0.00019, 0.00014, 0.00301, 0.0, 0.0004, 0.00028, 0.00625, 0.0, 0.00078, 0.00061, 0.01566, 0.0, 0.00141, 0.00155, 0.02858, 0.00154]\n",
      "loss: 0.006771  [  288/  391] grads: [0.00128, 0.0, 7e-05, 3e-05, 0.00105, 0.0, 6e-05, 3e-05, 0.00074, 0.0, 5e-05, 3e-05, 0.00126, 0.0, 7e-05, 3e-05, 0.00134, 0.0, 6e-05, 5e-05, 0.00152, 0.0, 8e-05, 6e-05, 0.00182, 0.0, 0.00017, 9e-05, 0.00298, 0.0, 0.00026, 0.0002, 0.00525, 0.0, 0.0007, 0.00057, 0.01178, 0.0, 0.00175, 0.00178, 0.03245, 0.0, 0.00835, 0.01266, 0.16505, 0.01978]\n",
      "loss: 0.002696  [  320/  391] grads: [0.00055, 0.0, 3e-05, 9e-05, 0.00065, 0.0, 3e-05, 6e-05, 0.00066, 0.0, 3e-05, 4e-05, 0.00082, 0.0, 5e-05, 3e-05, 0.00074, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 5e-05, 4e-05, 0.00081, 0.0, 7e-05, 6e-05, 0.0013, 0.0, 0.00014, 0.00015, 0.0023, 0.0, 0.00027, 0.00023, 0.00473, 0.0, 0.00091, 0.00061, 0.01626, 0.0, 0.00406, 0.00482, 0.07436, 0.00471]\n",
      "loss: 0.003847  [  352/  391] grads: [0.00161, 0.0, 0.00013, 0.00012, 0.00181, 0.0, 0.0001, 8e-05, 0.0014, 0.0, 0.0001, 5e-05, 0.00129, 0.0, 9e-05, 3e-05, 0.00121, 0.0, 7e-05, 4e-05, 0.00108, 0.0, 6e-05, 3e-05, 0.00125, 0.0, 0.00013, 6e-05, 0.00211, 0.0, 0.00019, 0.00014, 0.00385, 0.0, 0.00047, 0.00037, 0.00781, 0.0, 0.00149, 0.00123, 0.02749, 0.0, 0.00674, 0.00709, 0.15277, 0.01303]\n",
      "loss: 0.002923  [  168/  391] grads: [0.00089, 0.0, 6e-05, 7e-05, 0.00081, 0.0, 5e-05, 6e-05, 0.00084, 0.0, 4e-05, 4e-05, 0.00088, 0.0, 6e-05, 3e-05, 0.00105, 0.0, 6e-05, 4e-05, 0.00125, 0.0, 7e-05, 4e-05, 0.00122, 0.0, 0.0001, 6e-05, 0.00192, 0.0, 0.00017, 0.00014, 0.00361, 0.0, 0.0004, 0.00031, 0.00652, 0.0, 0.00107, 0.00093, 0.02058, 0.0, 0.00518, 0.00629, 0.11648, 0.01166]\n",
      "Epoch 12\n",
      "-------------------------------\n",
      "loss: 0.002173  [    0/  391] grads: [0.00061, 0.0, 3e-05, 7e-05, 0.00061, 0.0, 3e-05, 5e-05, 0.00069, 0.0, 3e-05, 3e-05, 0.00068, 0.0, 5e-05, 3e-05, 0.00069, 0.0, 3e-05, 2e-05, 0.00084, 0.0, 5e-05, 4e-05, 0.00081, 0.0, 6e-05, 5e-05, 0.00128, 0.0, 0.00011, 0.0001, 0.00211, 0.0, 0.00021, 0.00018, 0.00402, 0.0, 0.00043, 0.00035, 0.00892, 0.0, 0.00193, 0.00389, 0.04554, 0.00684]\n",
      "loss: 0.002341  [   32/  391] grads: [0.00125, 0.0, 7e-05, 0.00015, 0.00122, 0.0, 5e-05, 0.0001, 0.00127, 0.0, 5e-05, 7e-05, 0.00102, 0.0, 4e-05, 5e-05, 0.0009, 0.0, 5e-05, 4e-05, 0.00104, 0.0, 6e-05, 4e-05, 0.00086, 0.0, 8e-05, 6e-05, 0.00137, 0.0, 0.00013, 0.00013, 0.00222, 0.0, 0.00019, 0.00021, 0.00426, 0.0, 0.00048, 0.00037, 0.00945, 0.0, 0.0035, 0.00616, 0.06767, 0.00885]\n",
      "loss: 0.002720  [   64/  391] grads: [0.00102, 0.0, 0.0001, 0.00025, 0.0016, 0.0, 7e-05, 0.00018, 0.00127, 0.0, 5e-05, 0.00012, 0.00114, 0.0, 6e-05, 0.0001, 0.00088, 0.0, 4e-05, 6e-05, 0.00117, 0.0, 7e-05, 6e-05, 0.00102, 0.0, 9e-05, 8e-05, 0.00184, 0.0, 0.00015, 0.00015, 0.00253, 0.0, 0.00025, 0.00025, 0.00385, 0.0, 0.00068, 0.00049, 0.01568, 0.0, 0.00451, 0.00538, 0.08702, 0.00631]\n",
      "loss: 0.003687  [   96/  391] grads: [0.00114, 0.0, 8e-05, 0.0002, 0.00119, 0.0, 6e-05, 0.00016, 0.00101, 0.0, 5e-05, 0.0001, 0.00109, 0.0, 6e-05, 7e-05, 0.00113, 0.0, 5e-05, 5e-05, 0.00152, 0.0, 9e-05, 6e-05, 0.00127, 0.0, 0.00014, 8e-05, 0.00229, 0.0, 0.00021, 0.00016, 0.00331, 0.0, 0.00032, 0.00022, 0.00513, 0.0, 0.00097, 0.00078, 0.01868, 0.0, 0.0058, 0.00475, 0.10789, 0.00319]\n",
      "loss: 0.002623  [  128/  391] grads: [0.00049, 0.0, 2e-05, 9e-05, 0.00064, 0.0, 3e-05, 7e-05, 0.00052, 0.0, 3e-05, 4e-05, 0.0007, 0.0, 4e-05, 3e-05, 0.00084, 0.0, 4e-05, 3e-05, 0.00093, 0.0, 5e-05, 3e-05, 0.00101, 0.0, 0.0001, 5e-05, 0.00171, 0.0, 0.00013, 0.0001, 0.00219, 0.0, 0.00016, 0.00014, 0.00276, 0.0, 0.00038, 0.0003, 0.01159, 0.0, 0.00332, 0.00588, 0.05522, 0.00829]\n",
      "loss: 0.002100  [  160/  391] grads: [0.00071, 0.0, 5e-05, 5e-05, 0.00067, 0.0, 4e-05, 5e-05, 0.00068, 0.0, 3e-05, 5e-05, 0.00089, 0.0, 7e-05, 4e-05, 0.00127, 0.0, 7e-05, 4e-05, 0.00124, 0.0, 6e-05, 4e-05, 0.00125, 0.0, 0.00011, 7e-05, 0.00171, 0.0, 0.00013, 9e-05, 0.00203, 0.0, 0.00012, 9e-05, 0.0025, 0.0, 0.00042, 0.00038, 0.00933, 0.0, 0.00155, 0.00248, 0.02735, 0.00298]\n",
      "loss: 0.002267  [  192/  391] grads: [0.00103, 0.0, 8e-05, 0.00013, 0.00108, 0.0, 6e-05, 0.00011, 0.00095, 0.0, 4e-05, 9e-05, 0.00115, 0.0, 7e-05, 6e-05, 0.00128, 0.0, 6e-05, 5e-05, 0.00165, 0.0, 9e-05, 6e-05, 0.00133, 0.0, 0.0001, 7e-05, 0.00188, 0.0, 0.00016, 0.00011, 0.00199, 0.0, 0.00014, 9e-05, 0.00221, 0.0, 0.00014, 0.00012, 0.00309, 0.0, 0.00136, 0.00207, 0.02299, 0.00255]\n",
      "loss: 0.002654  [  224/  391] grads: [0.00127, 0.0, 0.0001, 0.00013, 0.00122, 0.0, 7e-05, 0.0001, 0.00086, 0.0, 5e-05, 7e-05, 0.00098, 0.0, 7e-05, 5e-05, 0.00107, 0.0, 6e-05, 4e-05, 0.00161, 0.0, 9e-05, 6e-05, 0.00134, 0.0, 0.00013, 7e-05, 0.00223, 0.0, 0.00019, 0.00015, 0.00357, 0.0, 0.00033, 0.00027, 0.00534, 0.0, 0.00072, 0.00085, 0.01471, 0.0, 0.00384, 0.00501, 0.07295, 0.00805]\n",
      "loss: 0.002034  [  256/  391] grads: [0.00057, 0.0, 5e-05, 2e-05, 0.00053, 0.0, 4e-05, 1e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00065, 0.0, 4e-05, 3e-05, 0.00086, 0.0, 4e-05, 2e-05, 0.00091, 0.0, 6e-05, 3e-05, 0.00082, 0.0, 7e-05, 5e-05, 0.00137, 0.0, 0.00011, 7e-05, 0.00172, 0.0, 0.00011, 8e-05, 0.00263, 0.0, 0.00037, 0.00029, 0.00718, 0.0, 0.00093, 0.00139, 0.02056, 0.00224]\n",
      "loss: 0.005985  [  288/  391] grads: [0.00239, 0.0, 0.00019, 0.00012, 0.00191, 0.0, 0.00016, 0.0001, 0.00139, 0.0, 0.00012, 8e-05, 0.00163, 0.0, 0.00012, 9e-05, 0.0021, 0.0, 0.0001, 6e-05, 0.00243, 0.0, 0.00015, 9e-05, 0.00227, 0.0, 0.00025, 0.00015, 0.00387, 0.0, 0.00028, 0.00021, 0.00548, 0.0, 0.00051, 0.00045, 0.0096, 0.0, 0.00153, 0.00132, 0.02813, 0.0, 0.00798, 0.01079, 0.15837, 0.01723]\n",
      "loss: 0.002468  [  320/  391] grads: [0.00069, 0.0, 3e-05, 7e-05, 0.00047, 0.0, 3e-05, 5e-05, 0.00044, 0.0, 3e-05, 3e-05, 0.00048, 0.0, 3e-05, 3e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00091, 0.0, 7e-05, 5e-05, 0.00121, 0.0, 0.0001, 9e-05, 0.00171, 0.0, 0.00014, 0.00014, 0.00256, 0.0, 0.00029, 0.00018, 0.0062, 0.0, 0.0026, 0.00475, 0.0458, 0.00658]\n",
      "loss: 0.003121  [  352/  391] grads: [0.00111, 0.0, 0.0001, 0.00014, 0.00131, 0.0, 7e-05, 0.00011, 0.00101, 0.0, 6e-05, 8e-05, 0.00105, 0.0, 7e-05, 4e-05, 0.00115, 0.0, 6e-05, 4e-05, 0.00158, 0.0, 0.0001, 5e-05, 0.00142, 0.0, 0.00016, 8e-05, 0.00247, 0.0, 0.00021, 0.00015, 0.00403, 0.0, 0.00047, 0.00035, 0.00677, 0.0, 0.00127, 0.00103, 0.02221, 0.0, 0.00517, 0.0064, 0.11527, 0.01146]\n",
      "loss: 0.002287  [  168/  391] grads: [0.00154, 0.0, 8e-05, 0.0001, 0.00117, 0.0, 5e-05, 9e-05, 0.00092, 0.0, 6e-05, 6e-05, 0.00104, 0.0, 7e-05, 4e-05, 0.00123, 0.0, 6e-05, 4e-05, 0.0013, 0.0, 7e-05, 6e-05, 0.00143, 0.0, 0.00012, 0.0001, 0.00195, 0.0, 0.00013, 0.00013, 0.00258, 0.0, 0.00024, 0.00021, 0.00509, 0.0, 0.00069, 0.00046, 0.01328, 0.0, 0.00272, 0.00318, 0.05915, 0.0059]\n",
      "Epoch 13\n",
      "-------------------------------\n",
      "loss: 0.001900  [    0/  391] grads: [0.00125, 0.0, 9e-05, 4e-05, 0.00111, 0.0, 7e-05, 4e-05, 0.0008, 0.0, 7e-05, 3e-05, 0.00086, 0.0, 5e-05, 4e-05, 0.00088, 0.0, 4e-05, 2e-05, 0.0009, 0.0, 5e-05, 3e-05, 0.00109, 0.0, 0.0001, 7e-05, 0.00162, 0.0, 0.00013, 0.00011, 0.0024, 0.0, 0.00024, 0.00017, 0.00411, 0.0, 0.00061, 0.00046, 0.01157, 0.0, 0.00265, 0.00301, 0.0534, 0.00527]\n",
      "loss: 0.002780  [   32/  391] grads: [0.0017, 0.0, 7e-05, 0.00016, 0.00111, 0.0, 8e-05, 0.00011, 0.00098, 0.0, 8e-05, 8e-05, 0.00104, 0.0, 6e-05, 7e-05, 0.00107, 0.0, 7e-05, 5e-05, 0.00111, 0.0, 7e-05, 4e-05, 0.00119, 0.0, 0.00011, 0.0001, 0.0022, 0.0, 0.00031, 0.00022, 0.00484, 0.0, 0.00059, 0.00039, 0.00965, 0.0, 0.00081, 0.00067, 0.01581, 0.0, 0.00417, 0.008, 0.07927, 0.01162]\n",
      "loss: 0.003159  [   64/  391] grads: [0.00094, 0.0, 6e-05, 0.00019, 0.00105, 0.0, 4e-05, 0.00013, 0.0008, 0.0, 3e-05, 8e-05, 0.00071, 0.0, 5e-05, 6e-05, 0.00073, 0.0, 3e-05, 3e-05, 0.00095, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 0.0001, 7e-05, 0.00178, 0.0, 0.0002, 0.00015, 0.00282, 0.0, 0.00036, 0.00026, 0.00589, 0.0, 0.00077, 0.00055, 0.01418, 0.0, 0.00457, 0.00742, 0.08312, 0.00993]\n",
      "loss: 0.002585  [   96/  391] grads: [0.00063, 0.0, 7e-05, 0.00014, 0.00106, 0.0, 5e-05, 0.0001, 0.00097, 0.0, 5e-05, 7e-05, 0.00115, 0.0, 0.0001, 7e-05, 0.00137, 0.0, 6e-05, 4e-05, 0.00143, 0.0, 9e-05, 5e-05, 0.0013, 0.0, 0.00013, 7e-05, 0.00189, 0.0, 0.00015, 0.00011, 0.00264, 0.0, 0.00022, 0.00018, 0.00479, 0.0, 0.00081, 0.00068, 0.01401, 0.0, 0.00392, 0.00242, 0.07315, 0.0028]\n",
      "loss: 0.001837  [  128/  391] grads: [0.00053, 0.0, 5e-05, 3e-05, 0.00054, 0.0, 3e-05, 3e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00073, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.00081, 0.0, 8e-05, 4e-05, 0.00114, 0.0, 8e-05, 6e-05, 0.00139, 0.0, 8e-05, 8e-05, 0.00206, 0.0, 0.00047, 0.00028, 0.01048, 0.0, 0.00189, 0.00198, 0.03428, 0.00197]\n",
      "loss: 0.003407  [  160/  391] grads: [0.0014, 0.0, 9e-05, 3e-05, 0.001, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 6e-05, 3e-05, 0.00108, 0.0, 7e-05, 3e-05, 0.00119, 0.0, 7e-05, 4e-05, 0.00127, 0.0, 8e-05, 5e-05, 0.00137, 0.0, 0.00012, 7e-05, 0.00215, 0.0, 0.00021, 0.00016, 0.00335, 0.0, 0.00031, 0.00032, 0.00682, 0.0, 0.00077, 0.00058, 0.01387, 0.0, 0.00357, 0.00635, 0.06106, 0.00805]\n",
      "loss: 0.002900  [  192/  391] grads: [0.00052, 0.0, 0.00013, 0.00016, 0.0014, 0.0, 9e-05, 0.00011, 0.00093, 0.0, 5e-05, 8e-05, 0.00096, 0.0, 6e-05, 8e-05, 0.00104, 0.0, 5e-05, 5e-05, 0.00132, 0.0, 8e-05, 6e-05, 0.00133, 0.0, 0.00011, 7e-05, 0.00215, 0.0, 0.00017, 0.00013, 0.00223, 0.0, 0.00025, 0.00017, 0.00404, 0.0, 0.00076, 0.00072, 0.01264, 0.0, 0.00394, 0.0026, 0.06754, 0.00015]\n",
      "loss: 0.003034  [  224/  391] grads: [0.00151, 0.0, 0.00019, 9e-05, 0.0019, 0.0, 0.00014, 8e-05, 0.00114, 0.0, 0.00011, 6e-05, 0.00102, 0.0, 9e-05, 6e-05, 0.00099, 0.0, 6e-05, 4e-05, 0.00126, 0.0, 8e-05, 6e-05, 0.00135, 0.0, 0.00013, 8e-05, 0.00233, 0.0, 0.00021, 0.00017, 0.00357, 0.0, 0.00031, 0.00029, 0.00579, 0.0, 0.00111, 0.00111, 0.02078, 0.0, 0.00516, 0.00451, 0.09357, 0.00648]\n",
      "loss: 0.001901  [  256/  391] grads: [0.00052, 0.0, 4e-05, 5e-05, 0.00047, 0.0, 3e-05, 4e-05, 0.00046, 0.0, 3e-05, 4e-05, 0.00068, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 7e-05, 4e-05, 0.00157, 0.0, 0.00015, 7e-05, 0.00274, 0.0, 0.00019, 0.00015, 0.00341, 0.0, 0.00048, 0.00036, 0.00824, 0.0, 0.00101, 0.00144, 0.02261, 0.00236]\n",
      "loss: 0.009718  [  288/  391] grads: [0.0032, 0.0, 0.00024, 7e-05, 0.00242, 0.0, 0.00021, 5e-05, 0.00162, 0.0, 0.00017, 5e-05, 0.00201, 0.0, 0.00016, 7e-05, 0.00224, 0.0, 0.00014, 7e-05, 0.00197, 0.0, 0.00013, 8e-05, 0.00234, 0.0, 0.00025, 0.00012, 0.00471, 0.0, 0.0004, 0.00031, 0.0074, 0.0, 0.00059, 0.00061, 0.01116, 0.0, 0.00258, 0.00235, 0.04692, 0.0, 0.01062, 0.01745, 0.21633, 0.02761]\n",
      "loss: 0.001955  [  320/  391] grads: [0.00112, 0.0, 6e-05, 4e-05, 0.001, 0.0, 4e-05, 4e-05, 0.00101, 0.0, 0.0001, 4e-05, 0.00145, 0.0, 9e-05, 5e-05, 0.00158, 0.0, 0.0001, 5e-05, 0.00154, 0.0, 9e-05, 6e-05, 0.00124, 0.0, 9e-05, 6e-05, 0.00185, 0.0, 0.00013, 0.0001, 0.00218, 0.0, 0.00018, 0.00013, 0.0033, 0.0, 0.00041, 0.00038, 0.00854, 0.0, 0.00102, 0.00063, 0.02177, 0.00061]\n",
      "loss: 0.003553  [  352/  391] grads: [0.00187, 0.0, 0.00012, 4e-05, 0.00162, 0.0, 0.00011, 5e-05, 0.00139, 0.0, 0.00011, 4e-05, 0.00168, 0.0, 0.00014, 7e-05, 0.00219, 0.0, 0.00013, 7e-05, 0.00176, 0.0, 0.0001, 5e-05, 0.00159, 0.0, 0.00016, 8e-05, 0.00256, 0.0, 0.00021, 0.00018, 0.0039, 0.0, 0.00031, 0.00038, 0.00652, 0.0, 0.00107, 0.001, 0.02095, 0.0, 0.00549, 0.00858, 0.12341, 0.01518]\n",
      "loss: 0.002480  [  168/  391] grads: [0.00075, 0.0, 4e-05, 6e-05, 0.00052, 0.0, 3e-05, 5e-05, 0.00054, 0.0, 4e-05, 4e-05, 0.0006, 0.0, 4e-05, 4e-05, 0.00076, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 4e-05, 3e-05, 0.00082, 0.0, 7e-05, 5e-05, 0.00124, 0.0, 0.00013, 0.00012, 0.00198, 0.0, 0.00028, 0.00021, 0.00427, 0.0, 0.001, 0.00068, 0.01777, 0.0, 0.0039, 0.00242, 0.08515, 0.00066]\n",
      "Epoch 14\n",
      "-------------------------------\n",
      "loss: 0.002156  [    0/  391] grads: [0.0011, 0.0, 7e-05, 4e-05, 0.00097, 0.0, 4e-05, 3e-05, 0.00094, 0.0, 7e-05, 4e-05, 0.00135, 0.0, 0.00011, 7e-05, 0.00173, 0.0, 9e-05, 6e-05, 0.00192, 0.0, 0.00012, 8e-05, 0.00153, 0.0, 0.00011, 7e-05, 0.00228, 0.0, 0.00016, 0.00011, 0.0025, 0.0, 0.00024, 0.0002, 0.00473, 0.0, 0.00067, 0.00047, 0.01228, 0.0, 0.00202, 0.00393, 0.0525, 0.00736]\n",
      "loss: 0.001593  [   32/  391] grads: [0.00051, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 2e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 3e-05, 2e-05, 0.00067, 0.0, 4e-05, 2e-05, 0.00083, 0.0, 5e-05, 3e-05, 0.00066, 0.0, 6e-05, 4e-05, 0.00107, 0.0, 9e-05, 6e-05, 0.00133, 0.0, 0.00016, 0.0001, 0.00242, 0.0, 0.00041, 0.00032, 0.00709, 0.0, 0.00133, 0.00111, 0.03039, 0.00204]\n",
      "loss: 0.004055  [   64/  391] grads: [0.00084, 0.0, 8e-05, 0.00019, 0.00106, 0.0, 5e-05, 0.00014, 0.00079, 0.0, 3e-05, 0.0001, 0.00089, 0.0, 4e-05, 7e-05, 0.00084, 0.0, 4e-05, 5e-05, 0.00101, 0.0, 6e-05, 4e-05, 0.0011, 0.0, 0.0001, 8e-05, 0.00169, 0.0, 0.00017, 0.00018, 0.00238, 0.0, 0.00031, 0.0003, 0.00414, 0.0, 0.00053, 0.00045, 0.01148, 0.0, 0.00577, 0.01058, 0.10865, 0.01525]\n",
      "loss: 0.002801  [   96/  391] grads: [0.00085, 0.0, 0.00012, 0.00012, 0.0011, 0.0, 0.0001, 0.0001, 0.00095, 0.0, 8e-05, 9e-05, 0.0011, 0.0, 0.0001, 7e-05, 0.00139, 0.0, 8e-05, 6e-05, 0.00152, 0.0, 8e-05, 5e-05, 0.00111, 0.0, 9e-05, 5e-05, 0.00168, 0.0, 0.00013, 0.00011, 0.00236, 0.0, 0.00024, 0.00018, 0.00472, 0.0, 0.00078, 0.00067, 0.0144, 0.0, 0.00408, 0.00249, 0.07652, 0.00031]\n",
      "loss: 0.002012  [  128/  391] grads: [0.00058, 0.0, 6e-05, 5e-05, 0.00057, 0.0, 4e-05, 4e-05, 0.00056, 0.0, 3e-05, 4e-05, 0.00067, 0.0, 5e-05, 3e-05, 0.00088, 0.0, 5e-05, 4e-05, 0.00102, 0.0, 6e-05, 4e-05, 0.00097, 0.0, 9e-05, 5e-05, 0.00158, 0.0, 0.0001, 6e-05, 0.00179, 0.0, 0.00017, 0.0001, 0.00288, 0.0, 0.00049, 0.00032, 0.0098, 0.0, 0.00233, 0.00139, 0.04557, 0.00013]\n",
      "loss: 0.001896  [  160/  391] grads: [0.00079, 0.0, 6e-05, 5e-05, 0.00065, 0.0, 5e-05, 4e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 7e-05, 3e-05, 0.00095, 0.0, 5e-05, 4e-05, 0.00087, 0.0, 5e-05, 3e-05, 0.00089, 0.0, 8e-05, 4e-05, 0.00117, 0.0, 0.00011, 8e-05, 0.00161, 0.0, 0.00016, 0.00014, 0.00281, 0.0, 0.00025, 0.00024, 0.00561, 0.0, 0.00151, 0.00306, 0.02816, 0.00421]\n",
      "loss: 0.002747  [  192/  391] grads: [0.00085, 0.0, 0.00021, 0.00017, 0.00206, 0.0, 0.00015, 0.00014, 0.0014, 0.0, 0.00011, 0.0001, 0.00131, 0.0, 9e-05, 9e-05, 0.00153, 0.0, 9e-05, 7e-05, 0.00188, 0.0, 0.00011, 7e-05, 0.00147, 0.0, 0.00012, 8e-05, 0.0021, 0.0, 0.00019, 0.00015, 0.00236, 0.0, 0.00029, 0.00022, 0.00409, 0.0, 0.00094, 0.00085, 0.0148, 0.0, 0.00464, 0.00292, 0.08302, 0.00233]\n",
      "loss: 0.002203  [  224/  391] grads: [0.00066, 0.0, 9e-05, 0.00011, 0.00096, 0.0, 6e-05, 9e-05, 0.00072, 0.0, 4e-05, 6e-05, 0.00066, 0.0, 5e-05, 5e-05, 0.00073, 0.0, 4e-05, 4e-05, 0.00097, 0.0, 6e-05, 5e-05, 0.00093, 0.0, 8e-05, 6e-05, 0.00147, 0.0, 0.00012, 0.0001, 0.00206, 0.0, 0.00026, 0.00017, 0.0036, 0.0, 0.00045, 0.00055, 0.00834, 0.0, 0.00274, 0.00231, 0.04138, 0.0015]\n",
      "loss: 0.002021  [  256/  391] grads: [0.0008, 0.0, 4e-05, 3e-05, 0.00061, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00093, 0.0, 5e-05, 4e-05, 0.00089, 0.0, 5e-05, 4e-05, 0.00122, 0.0, 0.00011, 7e-05, 0.00172, 0.0, 0.00012, 9e-05, 0.00213, 0.0, 0.00015, 0.00014, 0.00278, 0.0, 0.00023, 0.00032, 0.00479, 0.0, 0.00102, 0.00127, 0.01715, 0.00197]\n",
      "loss: 0.004465  [  288/  391] grads: [0.00097, 0.0, 0.00011, 7e-05, 0.0011, 0.0, 9e-05, 5e-05, 0.00078, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 6e-05, 4e-05, 0.00114, 0.0, 7e-05, 4e-05, 0.00145, 0.0, 9e-05, 6e-05, 0.00148, 0.0, 0.00014, 9e-05, 0.00266, 0.0, 0.00022, 0.00019, 0.00435, 0.0, 0.00058, 0.00045, 0.00766, 0.0, 0.00144, 0.0013, 0.02223, 0.0, 0.00657, 0.0083, 0.12848, 0.01305]\n",
      "loss: 0.001767  [  320/  391] grads: [0.00069, 0.0, 3e-05, 6e-05, 0.00052, 0.0, 2e-05, 4e-05, 0.00048, 0.0, 2e-05, 3e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00084, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 5e-05, 3e-05, 0.00082, 0.0, 8e-05, 5e-05, 0.00127, 0.0, 9e-05, 6e-05, 0.00155, 0.0, 0.00016, 0.00013, 0.0026, 0.0, 0.00043, 0.00036, 0.00623, 0.0, 0.00176, 0.00205, 0.03094, 0.00227]\n",
      "loss: 0.002944  [  352/  391] grads: [0.0012, 0.0, 0.0001, 7e-05, 0.00111, 0.0, 9e-05, 6e-05, 0.00083, 0.0, 7e-05, 4e-05, 0.00086, 0.0, 9e-05, 3e-05, 0.00094, 0.0, 6e-05, 2e-05, 0.00091, 0.0, 6e-05, 3e-05, 0.00107, 0.0, 0.00011, 5e-05, 0.00191, 0.0, 0.00017, 0.00016, 0.00348, 0.0, 0.00037, 0.0004, 0.00631, 0.0, 0.00105, 0.00101, 0.01811, 0.0, 0.00499, 0.00719, 0.1066, 0.01239]\n",
      "loss: 0.003602  [  168/  391] grads: [0.00088, 0.0, 6e-05, 9e-05, 0.00087, 0.0, 7e-05, 7e-05, 0.00076, 0.0, 8e-05, 6e-05, 0.00079, 0.0, 6e-05, 5e-05, 0.00089, 0.0, 6e-05, 5e-05, 0.00084, 0.0, 6e-05, 4e-05, 0.00108, 0.0, 0.00011, 7e-05, 0.00186, 0.0, 0.00022, 0.00019, 0.00289, 0.0, 0.00043, 0.00032, 0.00616, 0.0, 0.00102, 0.00076, 0.01597, 0.0, 0.0048, 0.00534, 0.08871, 0.00575]\n",
      "Epoch 15\n",
      "-------------------------------\n",
      "loss: 0.002000  [    0/  391] grads: [0.00107, 0.0, 7e-05, 4e-05, 0.00074, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 6e-05, 3e-05, 0.00097, 0.0, 5e-05, 3e-05, 0.00118, 0.0, 7e-05, 5e-05, 0.00103, 0.0, 8e-05, 6e-05, 0.00145, 0.0, 0.00011, 0.00011, 0.00218, 0.0, 0.00027, 0.00024, 0.00443, 0.0, 0.00035, 0.00032, 0.00681, 0.0, 0.00231, 0.00492, 0.0473, 0.00817]\n",
      "loss: 0.002504  [   32/  391] grads: [0.00189, 0.0, 8e-05, 0.00011, 0.00097, 0.0, 7e-05, 9e-05, 0.00071, 0.0, 5e-05, 5e-05, 0.00073, 0.0, 5e-05, 5e-05, 0.00085, 0.0, 5e-05, 4e-05, 0.00097, 0.0, 6e-05, 4e-05, 0.00102, 0.0, 0.0001, 9e-05, 0.00158, 0.0, 0.00014, 0.00015, 0.00249, 0.0, 0.00038, 0.00031, 0.00507, 0.0, 0.00047, 0.00034, 0.00841, 0.0, 0.00359, 0.00731, 0.06937, 0.01145]\n",
      "loss: 0.003058  [   64/  391] grads: [0.00175, 0.0, 6e-05, 0.00014, 0.00105, 0.0, 8e-05, 0.0001, 0.00093, 0.0, 8e-05, 6e-05, 0.00129, 0.0, 0.00011, 5e-05, 0.0012, 0.0, 7e-05, 4e-05, 0.0012, 0.0, 9e-05, 5e-05, 0.00128, 0.0, 0.00016, 8e-05, 0.00222, 0.0, 0.00018, 0.00015, 0.00279, 0.0, 0.00031, 0.00027, 0.00422, 0.0, 0.00036, 0.00029, 0.00891, 0.0, 0.0042, 0.00821, 0.07913, 0.01246]\n",
      "loss: 0.002731  [   96/  391] grads: [0.001, 0.0, 8e-05, 0.00014, 0.0009, 0.0, 5e-05, 0.0001, 0.00088, 0.0, 5e-05, 8e-05, 0.00106, 0.0, 6e-05, 6e-05, 0.00112, 0.0, 5e-05, 4e-05, 0.00146, 0.0, 0.0001, 6e-05, 0.00129, 0.0, 0.00013, 8e-05, 0.00202, 0.0, 0.00019, 0.00013, 0.00287, 0.0, 0.00031, 0.00021, 0.00495, 0.0, 0.00084, 0.00074, 0.01329, 0.0, 0.00387, 0.00237, 0.06913, 0.00088]\n",
      "loss: 0.001664  [  128/  391] grads: [0.00084, 0.0, 7e-05, 6e-05, 0.00061, 0.0, 6e-05, 5e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00043, 0.0, 2e-05, 3e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00062, 0.0, 4e-05, 3e-05, 0.00052, 0.0, 5e-05, 2e-05, 0.0008, 0.0, 8e-05, 5e-05, 0.00113, 0.0, 9e-05, 6e-05, 0.00175, 0.0, 0.00023, 0.00015, 0.00432, 0.0, 0.00127, 0.00108, 0.02249, 0.00091]\n",
      "loss: 0.001576  [  160/  391] grads: [0.00073, 0.0, 5e-05, 1e-05, 0.0005, 0.0, 5e-05, 2e-05, 0.00041, 0.0, 5e-05, 1e-05, 0.00046, 0.0, 4e-05, 1e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00059, 0.0, 4e-05, 2e-05, 0.00076, 0.0, 8e-05, 4e-05, 0.00107, 0.0, 6e-05, 5e-05, 0.00113, 0.0, 0.00011, 8e-05, 0.00199, 0.0, 0.00021, 0.00017, 0.00532, 0.0, 0.00091, 0.00154, 0.0172, 0.00201]\n",
      "loss: 0.003200  [  192/  391] grads: [0.00314, 0.0, 0.00024, 6e-05, 0.0023, 0.0, 0.00019, 3e-05, 0.00148, 0.0, 0.00014, 3e-05, 0.00118, 0.0, 8e-05, 5e-05, 0.00116, 0.0, 8e-05, 5e-05, 0.00139, 0.0, 9e-05, 6e-05, 0.00161, 0.0, 0.00018, 0.00012, 0.00252, 0.0, 0.00019, 0.00016, 0.00342, 0.0, 0.00032, 0.00032, 0.00519, 0.0, 0.00069, 0.00081, 0.0126, 0.0, 0.00417, 0.00766, 0.08383, 0.01262]\n",
      "loss: 0.002150  [  224/  391] grads: [0.00126, 0.0, 9e-05, 0.00013, 0.00091, 0.0, 7e-05, 9e-05, 0.00084, 0.0, 7e-05, 7e-05, 0.001, 0.0, 8e-05, 6e-05, 0.00106, 0.0, 7e-05, 5e-05, 0.00118, 0.0, 8e-05, 6e-05, 0.00109, 0.0, 0.0001, 7e-05, 0.00192, 0.0, 0.00017, 0.00015, 0.003, 0.0, 0.00035, 0.00027, 0.00507, 0.0, 0.00064, 0.00076, 0.01204, 0.0, 0.00301, 0.00337, 0.05408, 0.0053]\n",
      "loss: 0.001632  [  256/  391] grads: [0.00029, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 1e-05, 2e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 4e-05, 3e-05, 0.00091, 0.0, 0.0001, 6e-05, 0.00146, 0.0, 0.00011, 0.0001, 0.00203, 0.0, 0.00023, 0.00027, 0.00481, 0.0, 0.00045, 0.00026, 0.00915, 0.00012]\n",
      "loss: 0.004884  [  288/  391] grads: [0.00224, 0.0, 0.00013, 8e-05, 0.00132, 0.0, 0.0001, 7e-05, 0.00093, 0.0, 9e-05, 4e-05, 0.00096, 0.0, 0.0001, 4e-05, 0.00119, 0.0, 7e-05, 4e-05, 0.00129, 0.0, 7e-05, 4e-05, 0.00129, 0.0, 0.00013, 7e-05, 0.00205, 0.0, 0.00017, 0.00015, 0.00318, 0.0, 0.00041, 0.00039, 0.00647, 0.0, 0.00113, 0.00102, 0.02046, 0.0, 0.00629, 0.00983, 0.12795, 0.01614]\n",
      "loss: 0.002089  [  320/  391] grads: [0.00045, 0.0, 3e-05, 5e-05, 0.0005, 0.0, 2e-05, 4e-05, 0.00039, 0.0, 2e-05, 3e-05, 0.00043, 0.0, 2e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00069, 0.0, 4e-05, 2e-05, 0.00069, 0.0, 5e-05, 4e-05, 0.00092, 0.0, 8e-05, 6e-05, 0.00107, 0.0, 0.00012, 0.00011, 0.00235, 0.0, 0.00039, 0.00026, 0.00542, 0.0, 0.00233, 0.00425, 0.04139, 0.00649]\n",
      "loss: 0.003195  [  352/  391] grads: [0.00215, 0.0, 0.00016, 0.00016, 0.00181, 0.0, 0.00012, 0.00013, 0.00135, 0.0, 0.00012, 8e-05, 0.00118, 0.0, 0.00011, 5e-05, 0.00116, 0.0, 8e-05, 3e-05, 0.00116, 0.0, 8e-05, 4e-05, 0.00119, 0.0, 0.00013, 6e-05, 0.00203, 0.0, 0.00018, 0.00015, 0.00355, 0.0, 0.00041, 0.00038, 0.00623, 0.0, 0.00131, 0.00112, 0.02162, 0.0, 0.00603, 0.00799, 0.13333, 0.01434]\n",
      "loss: 0.001732  [  168/  391] grads: [0.00093, 0.0, 5e-05, 5e-05, 0.00072, 0.0, 3e-05, 2e-05, 0.00069, 0.0, 4e-05, 3e-05, 0.00079, 0.0, 4e-05, 3e-05, 0.00089, 0.0, 5e-05, 3e-05, 0.00104, 0.0, 6e-05, 4e-05, 0.001, 0.0, 8e-05, 5e-05, 0.00149, 0.0, 0.00011, 8e-05, 0.00201, 0.0, 0.00023, 0.00017, 0.00376, 0.0, 0.00058, 0.0004, 0.00949, 0.0, 0.00143, 0.00276, 0.03683, 0.00519]\n",
      "Epoch 16\n",
      "-------------------------------\n",
      "loss: 0.001894  [    0/  391] grads: [0.00073, 0.0, 6e-05, 3e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.00072, 0.0, 4e-05, 2e-05, 0.00074, 0.0, 4e-05, 2e-05, 0.00098, 0.0, 6e-05, 4e-05, 0.00093, 0.0, 8e-05, 5e-05, 0.00151, 0.0, 0.00013, 0.0001, 0.00224, 0.0, 0.00026, 0.0002, 0.00437, 0.0, 0.00061, 0.00044, 0.00986, 0.0, 0.00211, 0.00425, 0.04893, 0.00759]\n",
      "loss: 0.001652  [   32/  391] grads: [0.00043, 0.0, 4e-05, 0.0001, 0.00065, 0.0, 2e-05, 7e-05, 0.00054, 0.0, 3e-05, 4e-05, 0.00071, 0.0, 5e-05, 4e-05, 0.00066, 0.0, 3e-05, 2e-05, 0.0008, 0.0, 5e-05, 3e-05, 0.00082, 0.0, 7e-05, 4e-05, 0.00123, 0.0, 0.00014, 0.00011, 0.00174, 0.0, 0.0002, 0.00017, 0.00315, 0.0, 0.00041, 0.0003, 0.00572, 0.0, 0.00199, 0.0034, 0.03845, 0.00491]\n",
      "loss: 0.001841  [   64/  391] grads: [0.00132, 0.0, 7e-05, 5e-05, 0.00079, 0.0, 4e-05, 5e-05, 0.00078, 0.0, 6e-05, 5e-05, 0.00087, 0.0, 5e-05, 4e-05, 0.00093, 0.0, 5e-05, 4e-05, 0.00092, 0.0, 5e-05, 4e-05, 0.00115, 0.0, 9e-05, 6e-05, 0.00174, 0.0, 0.00014, 0.0001, 0.00191, 0.0, 0.00025, 0.00017, 0.00316, 0.0, 0.00026, 0.0002, 0.00526, 0.0, 0.00247, 0.00479, 0.04814, 0.00765]\n",
      "loss: 0.002490  [   96/  391] grads: [0.00129, 0.0, 9e-05, 0.00013, 0.00099, 0.0, 7e-05, 0.0001, 0.00078, 0.0, 5e-05, 7e-05, 0.00079, 0.0, 6e-05, 5e-05, 0.00088, 0.0, 5e-05, 3e-05, 0.00098, 0.0, 6e-05, 4e-05, 0.00108, 0.0, 0.0001, 6e-05, 0.00174, 0.0, 0.00016, 0.00012, 0.00265, 0.0, 0.00032, 0.00024, 0.00453, 0.0, 0.00109, 0.00088, 0.01609, 0.0, 0.00484, 0.0034, 0.09429, 0.00436]\n",
      "loss: 0.001952  [  128/  391] grads: [0.0017, 0.0, 7e-05, 8e-05, 0.00091, 0.0, 6e-05, 6e-05, 0.00077, 0.0, 5e-05, 4e-05, 0.00098, 0.0, 7e-05, 3e-05, 0.0011, 0.0, 6e-05, 4e-05, 0.00107, 0.0, 7e-05, 4e-05, 0.00119, 0.0, 0.0001, 6e-05, 0.0018, 0.0, 0.00012, 9e-05, 0.00222, 0.0, 0.00021, 0.00019, 0.00356, 0.0, 0.00059, 0.00042, 0.01372, 0.0, 0.00199, 0.00291, 0.03705, 0.00369]\n",
      "loss: 0.001962  [  160/  391] grads: [0.00076, 0.0, 3e-05, 3e-05, 0.00046, 0.0, 2e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00067, 0.0, 3e-05, 2e-05, 0.00087, 0.0, 6e-05, 3e-05, 0.00085, 0.0, 5e-05, 3e-05, 0.00098, 0.0, 8e-05, 6e-05, 0.00114, 0.0, 7e-05, 7e-05, 0.00136, 0.0, 0.00011, 0.00012, 0.00206, 0.0, 0.00026, 0.00029, 0.00401, 0.0, 0.00225, 0.00385, 0.03686, 0.00532]\n",
      "loss: 0.001540  [  192/  391] grads: [0.00062, 0.0, 5e-05, 7e-05, 0.00057, 0.0, 4e-05, 5e-05, 0.0005, 0.0, 3e-05, 4e-05, 0.00062, 0.0, 4e-05, 2e-05, 0.00065, 0.0, 4e-05, 2e-05, 0.00073, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 5e-05, 3e-05, 0.00104, 0.0, 8e-05, 8e-05, 0.00149, 0.0, 0.00017, 0.00012, 0.00269, 0.0, 0.00045, 0.00043, 0.0069, 0.0, 0.00191, 0.00155, 0.0375, 0.00228]\n",
      "loss: 0.002136  [  224/  391] grads: [0.00101, 0.0, 8e-05, 7e-05, 0.00073, 0.0, 5e-05, 5e-05, 0.00055, 0.0, 4e-05, 4e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.00083, 0.0, 5e-05, 3e-05, 0.00092, 0.0, 5e-05, 4e-05, 0.00095, 0.0, 8e-05, 5e-05, 0.00137, 0.0, 0.00013, 0.0001, 0.00216, 0.0, 0.00021, 0.0002, 0.00341, 0.0, 0.00066, 0.0006, 0.01053, 0.0, 0.00315, 0.00395, 0.06495, 0.00668]\n",
      "loss: 0.001638  [  256/  391] grads: [0.00047, 0.0, 3e-05, 3e-05, 0.00046, 0.0, 2e-05, 2e-05, 0.00059, 0.0, 4e-05, 2e-05, 0.00074, 0.0, 6e-05, 3e-05, 0.00069, 0.0, 4e-05, 2e-05, 0.00083, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.00138, 0.0, 9e-05, 6e-05, 0.00152, 0.0, 0.00011, 5e-05, 0.00197, 0.0, 0.00018, 0.00018, 0.00354, 0.0, 0.00061, 0.00043, 0.00926, 0.00032]\n",
      "loss: 0.004865  [  288/  391] grads: [0.00261, 0.0, 0.00015, 8e-05, 0.00148, 0.0, 0.00012, 6e-05, 0.00111, 0.0, 0.00014, 6e-05, 0.00182, 0.0, 0.00019, 8e-05, 0.00197, 0.0, 0.00012, 6e-05, 0.00173, 0.0, 0.0001, 5e-05, 0.00192, 0.0, 0.00015, 9e-05, 0.0029, 0.0, 0.00027, 0.00021, 0.00475, 0.0, 0.00048, 0.00047, 0.0074, 0.0, 0.0014, 0.00133, 0.0228, 0.0, 0.00673, 0.00957, 0.13466, 0.01544]\n",
      "loss: 0.002876  [  320/  391] grads: [0.00065, 0.0, 6e-05, 0.00012, 0.00097, 0.0, 4e-05, 8e-05, 0.00096, 0.0, 6e-05, 5e-05, 0.00103, 0.0, 6e-05, 4e-05, 0.00092, 0.0, 5e-05, 4e-05, 0.00114, 0.0, 7e-05, 6e-05, 0.00103, 0.0, 8e-05, 8e-05, 0.00171, 0.0, 0.00017, 0.00016, 0.00238, 0.0, 0.00026, 0.00026, 0.00439, 0.0, 0.00081, 0.00064, 0.01075, 0.0, 0.00399, 0.00549, 0.06957, 0.0065]\n",
      "loss: 0.002182  [  352/  391] grads: [0.00107, 0.0, 9e-05, 0.00013, 0.00123, 0.0, 6e-05, 9e-05, 0.00093, 0.0, 6e-05, 6e-05, 0.00095, 0.0, 0.0001, 5e-05, 0.00104, 0.0, 5e-05, 3e-05, 0.00101, 0.0, 6e-05, 4e-05, 0.001, 0.0, 0.0001, 5e-05, 0.00166, 0.0, 0.00014, 0.0001, 0.00241, 0.0, 0.00029, 0.00025, 0.00456, 0.0, 0.00101, 0.00093, 0.01537, 0.0, 0.0043, 0.00456, 0.08657, 0.00746]\n",
      "loss: 0.002151  [  168/  391] grads: [0.00112, 0.0, 0.0001, 0.0001, 0.00111, 0.0, 6e-05, 8e-05, 0.00102, 0.0, 9e-05, 7e-05, 0.00131, 0.0, 0.00013, 7e-05, 0.00165, 0.0, 9e-05, 6e-05, 0.00181, 0.0, 0.00012, 8e-05, 0.00191, 0.0, 0.00014, 8e-05, 0.00233, 0.0, 0.00019, 0.00016, 0.00349, 0.0, 0.00029, 0.00032, 0.00495, 0.0, 0.00059, 0.00068, 0.01221, 0.0, 0.00331, 0.00563, 0.06524, 0.0096]\n",
      "Epoch 17\n",
      "-------------------------------\n",
      "loss: 0.001876  [    0/  391] grads: [0.00083, 0.0, 6e-05, 5e-05, 0.00085, 0.0, 3e-05, 4e-05, 0.00095, 0.0, 8e-05, 6e-05, 0.00113, 0.0, 0.0001, 6e-05, 0.00132, 0.0, 7e-05, 4e-05, 0.00145, 0.0, 9e-05, 6e-05, 0.00138, 0.0, 0.00011, 8e-05, 0.00213, 0.0, 0.00019, 0.00016, 0.00342, 0.0, 0.00027, 0.00027, 0.00535, 0.0, 0.00055, 0.00047, 0.0099, 0.0, 0.00177, 0.0035, 0.03725, 0.00592]\n",
      "loss: 0.001440  [   32/  391] grads: [0.00055, 0.0, 2e-05, 8e-05, 0.00042, 0.0, 2e-05, 5e-05, 0.0004, 0.0, 3e-05, 4e-05, 0.00053, 0.0, 5e-05, 4e-05, 0.00065, 0.0, 3e-05, 2e-05, 0.00079, 0.0, 5e-05, 4e-05, 0.00096, 0.0, 7e-05, 5e-05, 0.0013, 0.0, 0.00013, 0.0001, 0.00158, 0.0, 0.00017, 0.00015, 0.00276, 0.0, 0.00029, 0.00022, 0.00468, 0.0, 0.0015, 0.00327, 0.02968, 0.00525]\n",
      "loss: 0.002363  [   64/  391] grads: [0.00098, 0.0, 5e-05, 0.00013, 0.00077, 0.0, 3e-05, 0.0001, 0.00072, 0.0, 3e-05, 7e-05, 0.00099, 0.0, 8e-05, 8e-05, 0.00111, 0.0, 6e-05, 4e-05, 0.0013, 0.0, 7e-05, 5e-05, 0.00133, 0.0, 0.0001, 6e-05, 0.00204, 0.0, 0.00018, 0.00013, 0.00227, 0.0, 0.00028, 0.0002, 0.00376, 0.0, 0.00051, 0.00033, 0.0076, 0.0, 0.00326, 0.00573, 0.06103, 0.00858]\n",
      "loss: 0.002691  [   96/  391] grads: [0.00087, 0.0, 0.00012, 0.00011, 0.00109, 0.0, 9e-05, 8e-05, 0.00114, 0.0, 0.0001, 7e-05, 0.0015, 0.0, 0.00013, 9e-05, 0.00172, 0.0, 0.0001, 6e-05, 0.00191, 0.0, 0.00011, 7e-05, 0.00172, 0.0, 0.00011, 8e-05, 0.00239, 0.0, 0.00019, 0.00016, 0.00314, 0.0, 0.00027, 0.00021, 0.0048, 0.0, 0.00071, 0.00069, 0.01148, 0.0, 0.00296, 0.0024, 0.05277, 0.00313]\n",
      "loss: 0.001832  [  128/  391] grads: [0.00026, 0.0, 2e-05, 3e-05, 0.00023, 0.0, 1e-05, 2e-05, 0.00024, 0.0, 1e-05, 2e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00055, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.00093, 0.0, 5e-05, 4e-05, 0.00103, 0.0, 0.00011, 6e-05, 0.00195, 0.0, 0.00023, 0.00023, 0.00402, 0.0, 0.00201, 0.00328, 0.03368, 0.00452]\n",
      "loss: 0.001808  [  160/  391] grads: [0.00099, 0.0, 4e-05, 5e-05, 0.00061, 0.0, 3e-05, 4e-05, 0.00076, 0.0, 5e-05, 5e-05, 0.00102, 0.0, 8e-05, 6e-05, 0.00115, 0.0, 7e-05, 4e-05, 0.00118, 0.0, 6e-05, 4e-05, 0.00109, 0.0, 0.0001, 6e-05, 0.00168, 0.0, 0.00013, 8e-05, 0.00211, 0.0, 0.00019, 0.00012, 0.00383, 0.0, 0.0005, 0.00024, 0.0107, 0.0, 0.00146, 0.00145, 0.0303, 0.00111]\n",
      "loss: 0.002265  [  192/  391] grads: [0.00084, 0.0, 9e-05, 7e-05, 0.00091, 0.0, 5e-05, 5e-05, 0.00084, 0.0, 5e-05, 5e-05, 0.00105, 0.0, 7e-05, 6e-05, 0.00133, 0.0, 8e-05, 5e-05, 0.00158, 0.0, 9e-05, 6e-05, 0.00137, 0.0, 0.0001, 7e-05, 0.00191, 0.0, 0.00014, 0.0001, 0.00211, 0.0, 0.00021, 0.00016, 0.0033, 0.0, 0.00048, 0.00043, 0.00798, 0.0, 0.00237, 0.0015, 0.03867, 0.00043]\n",
      "loss: 0.002158  [  224/  391] grads: [0.00164, 0.0, 0.00014, 7e-05, 0.00137, 0.0, 0.0001, 7e-05, 0.00109, 0.0, 9e-05, 5e-05, 0.00109, 0.0, 0.0001, 4e-05, 0.00119, 0.0, 6e-05, 3e-05, 0.00137, 0.0, 8e-05, 5e-05, 0.00129, 0.0, 0.00012, 7e-05, 0.00205, 0.0, 0.00017, 0.00013, 0.00272, 0.0, 0.00019, 0.00019, 0.00368, 0.0, 0.00061, 0.00076, 0.0126, 0.0, 0.00286, 0.0034, 0.04799, 0.0048]\n",
      "loss: 0.002835  [  256/  391] grads: [0.00134, 0.0, 6e-05, 0.0001, 0.0009, 0.0, 7e-05, 7e-05, 0.00076, 0.0, 5e-05, 5e-05, 0.00077, 0.0, 5e-05, 4e-05, 0.00082, 0.0, 5e-05, 4e-05, 0.0009, 0.0, 5e-05, 5e-05, 0.00095, 0.0, 9e-05, 7e-05, 0.00135, 0.0, 0.00014, 0.00013, 0.00215, 0.0, 0.00028, 0.00025, 0.00429, 0.0, 0.00031, 0.00034, 0.00595, 0.0, 0.00313, 0.00624, 0.05867, 0.00969]\n",
      "loss: 0.005789  [  288/  391] grads: [0.00132, 0.0, 0.00016, 0.00011, 0.00158, 0.0, 0.00011, 9e-05, 0.00111, 0.0, 9e-05, 7e-05, 0.00097, 0.0, 7e-05, 5e-05, 0.00121, 0.0, 7e-05, 4e-05, 0.00139, 0.0, 9e-05, 5e-05, 0.0015, 0.0, 0.00017, 0.00011, 0.00226, 0.0, 0.00018, 0.00014, 0.00348, 0.0, 0.0005, 0.00039, 0.00705, 0.0, 0.00165, 0.0013, 0.02633, 0.0, 0.00771, 0.0099, 0.15466, 0.01646]\n",
      "loss: 0.001705  [  320/  391] grads: [0.00145, 0.0, 8e-05, 9e-05, 0.00127, 0.0, 7e-05, 7e-05, 0.00105, 0.0, 8e-05, 5e-05, 0.00103, 0.0, 6e-05, 4e-05, 0.00085, 0.0, 5e-05, 3e-05, 0.00119, 0.0, 7e-05, 5e-05, 0.00105, 0.0, 8e-05, 5e-05, 0.0017, 0.0, 0.00012, 7e-05, 0.00188, 0.0, 0.00015, 0.00013, 0.00247, 0.0, 0.00064, 0.0006, 0.00954, 0.0, 0.00251, 0.00152, 0.04362, 0.00032]\n",
      "loss: 0.004118  [  352/  391] grads: [0.00228, 0.0, 0.00022, 6e-05, 0.00229, 0.0, 0.0002, 3e-05, 0.00164, 0.0, 0.00016, 4e-05, 0.0015, 0.0, 9e-05, 7e-05, 0.00156, 0.0, 0.00011, 6e-05, 0.00175, 0.0, 0.00011, 6e-05, 0.00213, 0.0, 0.00027, 0.00018, 0.00359, 0.0, 0.00027, 0.00025, 0.00529, 0.0, 0.00055, 0.00046, 0.00786, 0.0, 0.00114, 0.00109, 0.01922, 0.0, 0.00592, 0.01033, 0.1326, 0.01864]\n",
      "loss: 0.002633  [  168/  391] grads: [0.00118, 0.0, 9e-05, 3e-05, 0.00095, 0.0, 7e-05, 3e-05, 0.0011, 0.0, 5e-05, 4e-05, 0.00132, 0.0, 6e-05, 4e-05, 0.00125, 0.0, 7e-05, 6e-05, 0.0017, 0.0, 0.00011, 8e-05, 0.00161, 0.0, 0.00015, 0.00011, 0.00228, 0.0, 0.00015, 0.00012, 0.00259, 0.0, 0.00028, 0.00019, 0.00477, 0.0, 0.00094, 0.00067, 0.01687, 0.0, 0.00281, 0.00431, 0.06726, 0.00869]\n",
      "Epoch 18\n",
      "-------------------------------\n",
      "loss: 0.002731  [    0/  391] grads: [0.00125, 0.0, 7e-05, 7e-05, 0.00107, 0.0, 4e-05, 5e-05, 0.00117, 0.0, 7e-05, 4e-05, 0.00116, 0.0, 5e-05, 5e-05, 0.00114, 0.0, 5e-05, 4e-05, 0.0015, 0.0, 9e-05, 6e-05, 0.0013, 0.0, 0.00013, 9e-05, 0.00204, 0.0, 0.00015, 0.00012, 0.00274, 0.0, 0.00027, 0.00022, 0.00508, 0.0, 0.00076, 0.00064, 0.01224, 0.0, 0.00347, 0.00686, 0.07367, 0.0119]\n",
      "loss: 0.002057  [   32/  391] grads: [0.00054, 0.0, 5e-05, 0.0001, 0.0007, 0.0, 3e-05, 8e-05, 0.00063, 0.0, 3e-05, 5e-05, 0.00055, 0.0, 3e-05, 4e-05, 0.00043, 0.0, 3e-05, 3e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00053, 0.0, 6e-05, 4e-05, 0.00085, 0.0, 0.0001, 8e-05, 0.00114, 0.0, 0.00016, 0.00015, 0.00234, 0.0, 0.00032, 0.00034, 0.00482, 0.0, 0.00275, 0.00498, 0.05043, 0.00796]\n",
      "loss: 0.002452  [   64/  391] grads: [0.00094, 0.0, 5e-05, 5e-05, 0.00061, 0.0, 4e-05, 5e-05, 0.00074, 0.0, 7e-05, 5e-05, 0.00083, 0.0, 5e-05, 4e-05, 0.001, 0.0, 6e-05, 4e-05, 0.00101, 0.0, 6e-05, 4e-05, 0.00107, 0.0, 9e-05, 6e-05, 0.00155, 0.0, 0.00012, 0.0001, 0.00208, 0.0, 0.00021, 0.00022, 0.00327, 0.0, 0.00048, 0.00044, 0.00939, 0.0, 0.00388, 0.007, 0.0744, 0.01101]\n",
      "loss: 0.002192  [   96/  391] grads: [0.00116, 0.0, 7e-05, 9e-05, 0.00078, 0.0, 5e-05, 8e-05, 0.00094, 0.0, 6e-05, 7e-05, 0.00105, 0.0, 6e-05, 5e-05, 0.00116, 0.0, 6e-05, 4e-05, 0.00161, 0.0, 0.00011, 6e-05, 0.00121, 0.0, 0.00011, 6e-05, 0.00161, 0.0, 0.00014, 0.0001, 0.00229, 0.0, 0.0002, 0.00015, 0.00379, 0.0, 0.00057, 0.00043, 0.00996, 0.0, 0.00267, 0.00228, 0.04965, 0.00367]\n",
      "loss: 0.001641  [  128/  391] grads: [0.00013, 0.0, 2e-05, 1e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00017, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 3e-05, 1e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00078, 0.0, 6e-05, 5e-05, 0.00115, 0.0, 0.0001, 9e-05, 0.002, 0.0, 0.00041, 0.00029, 0.00909, 0.0, 0.00138, 0.00173, 0.02544, 0.00188]\n",
      "loss: 0.001765  [  160/  391] grads: [0.00098, 0.0, 6e-05, 2e-05, 0.00074, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 6e-05, 2e-05, 0.00074, 0.0, 6e-05, 3e-05, 0.00072, 0.0, 5e-05, 2e-05, 0.00062, 0.0, 4e-05, 2e-05, 0.00072, 0.0, 7e-05, 4e-05, 0.00116, 0.0, 0.00011, 8e-05, 0.00191, 0.0, 0.00019, 0.00018, 0.00325, 0.0, 0.0005, 0.00046, 0.00769, 0.0, 0.00298, 0.00503, 0.05608, 0.00774]\n",
      "loss: 0.001978  [  192/  391] grads: [0.00051, 0.0, 7e-05, 0.0001, 0.00079, 0.0, 4e-05, 7e-05, 0.00061, 0.0, 4e-05, 5e-05, 0.00068, 0.0, 5e-05, 4e-05, 0.00076, 0.0, 4e-05, 3e-05, 0.00092, 0.0, 6e-05, 4e-05, 0.00085, 0.0, 8e-05, 5e-05, 0.00129, 0.0, 0.00013, 9e-05, 0.00141, 0.0, 0.00014, 0.00012, 0.00226, 0.0, 0.0004, 0.00037, 0.00604, 0.0, 0.00202, 0.00167, 0.03208, 0.00099]\n",
      "loss: 0.002252  [  224/  391] grads: [0.00137, 0.0, 0.00012, 8e-05, 0.00129, 0.0, 9e-05, 7e-05, 0.00096, 0.0, 7e-05, 5e-05, 0.00081, 0.0, 6e-05, 4e-05, 0.00077, 0.0, 4e-05, 4e-05, 0.00084, 0.0, 6e-05, 4e-05, 0.00086, 0.0, 7e-05, 5e-05, 0.0013, 0.0, 0.00013, 0.0001, 0.00189, 0.0, 0.00023, 0.00021, 0.0035, 0.0, 0.00077, 0.00075, 0.01142, 0.0, 0.00379, 0.00248, 0.06329, 0.00192]\n",
      "loss: 0.002001  [  256/  391] grads: [0.00081, 0.0, 3e-05, 5e-05, 0.00039, 0.0, 3e-05, 5e-05, 0.00035, 0.0, 2e-05, 4e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00053, 0.0, 3e-05, 3e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 6e-05, 4e-05, 0.00108, 0.0, 0.0001, 8e-05, 0.00153, 0.0, 0.00016, 0.00013, 0.00236, 0.0, 0.00021, 0.00019, 0.0035, 0.0, 0.00201, 0.00411, 0.03698, 0.00627]\n",
      "loss: 0.003407  [  288/  391] grads: [0.00067, 0.0, 5e-05, 0.00011, 0.00071, 0.0, 3e-05, 9e-05, 0.0006, 0.0, 4e-05, 6e-05, 0.00068, 0.0, 5e-05, 5e-05, 0.00084, 0.0, 4e-05, 3e-05, 0.00085, 0.0, 6e-05, 4e-05, 0.00103, 0.0, 0.0001, 6e-05, 0.00168, 0.0, 0.00018, 0.00013, 0.00255, 0.0, 0.00049, 0.00035, 0.00611, 0.0, 0.00142, 0.00108, 0.01944, 0.0, 0.00519, 0.00378, 0.09949, 0.00429]\n",
      "loss: 0.001683  [  320/  391] grads: [0.00064, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 3e-05, 3e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.0006, 0.0, 5e-05, 2e-05, 0.00071, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 7e-05, 4e-05, 0.00126, 0.0, 0.0001, 9e-05, 0.00167, 0.0, 0.00017, 0.0002, 0.00321, 0.0, 0.00044, 0.00046, 0.00736, 0.0, 0.00159, 0.00233, 0.03124, 0.00358]\n",
      "loss: 0.003034  [  352/  391] grads: [0.00074, 0.0, 7e-05, 6e-05, 0.00083, 0.0, 6e-05, 6e-05, 0.00068, 0.0, 7e-05, 4e-05, 0.00081, 0.0, 8e-05, 3e-05, 0.00098, 0.0, 8e-05, 3e-05, 0.00084, 0.0, 6e-05, 3e-05, 0.00115, 0.0, 0.00012, 6e-05, 0.00201, 0.0, 0.00019, 0.00018, 0.00352, 0.0, 0.00047, 0.00046, 0.00706, 0.0, 0.00111, 0.00096, 0.01803, 0.0, 0.00509, 0.0077, 0.10701, 0.01341]\n",
      "loss: 0.001970  [  168/  391] grads: [0.00072, 0.0, 5e-05, 3e-05, 0.00057, 0.0, 3e-05, 3e-05, 0.00056, 0.0, 3e-05, 3e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.0009, 0.0, 5e-05, 3e-05, 0.00088, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 0.0001, 7e-05, 0.00147, 0.0, 0.00013, 9e-05, 0.00218, 0.0, 0.00033, 0.00023, 0.00461, 0.0, 0.0009, 0.00059, 0.01439, 0.0, 0.00296, 0.00428, 0.06523, 0.00811]\n",
      "Epoch 19\n",
      "-------------------------------\n",
      "loss: 0.001647  [    0/  391] grads: [0.00136, 0.0, 9e-05, 3e-05, 0.0011, 0.0, 6e-05, 2e-05, 0.001, 0.0, 8e-05, 4e-05, 0.00104, 0.0, 7e-05, 4e-05, 0.001, 0.0, 5e-05, 4e-05, 0.00102, 0.0, 6e-05, 5e-05, 0.00101, 0.0, 9e-05, 7e-05, 0.00173, 0.0, 0.00014, 0.0001, 0.00203, 0.0, 0.00019, 0.00015, 0.00372, 0.0, 0.00065, 0.00049, 0.00926, 0.0, 0.00196, 0.00345, 0.04077, 0.0059]\n",
      "loss: 0.001181  [   32/  391] grads: [0.00045, 0.0, 3e-05, 1e-05, 0.00031, 0.0, 3e-05, 1e-05, 0.00024, 0.0, 3e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 3e-05, 1e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 5e-05, 5e-05, 0.00099, 0.0, 6e-05, 9e-05, 0.00161, 0.0, 0.00029, 0.00032, 0.0056, 0.0, 0.00068, 0.00059, 0.01279, 0.00047]\n",
      "loss: 0.003375  [   64/  391] grads: [0.00184, 0.0, 6e-05, 0.00014, 0.00082, 0.0, 6e-05, 0.00011, 0.00075, 0.0, 5e-05, 8e-05, 0.00071, 0.0, 4e-05, 6e-05, 0.00072, 0.0, 4e-05, 4e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.00086, 0.0, 7e-05, 6e-05, 0.00157, 0.0, 0.00016, 0.00014, 0.00219, 0.0, 0.00034, 0.00023, 0.00436, 0.0, 0.0006, 0.00033, 0.01062, 0.0, 0.00514, 0.00935, 0.09531, 0.01389]\n",
      "loss: 0.002123  [   96/  391] grads: [0.00088, 0.0, 7e-05, 7e-05, 0.00068, 0.0, 4e-05, 6e-05, 0.0007, 0.0, 4e-05, 5e-05, 0.00083, 0.0, 6e-05, 5e-05, 0.00103, 0.0, 5e-05, 3e-05, 0.00094, 0.0, 7e-05, 4e-05, 0.00103, 0.0, 0.0001, 6e-05, 0.00158, 0.0, 0.00014, 9e-05, 0.00219, 0.0, 0.00024, 0.00016, 0.00388, 0.0, 0.00082, 0.00058, 0.01197, 0.0, 0.00327, 0.00217, 0.06114, 0.00292]\n",
      "loss: 0.001643  [  128/  391] grads: [0.00046, 0.0, 3e-05, 1e-05, 0.00039, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 1e-05, 2e-05, 0.00037, 0.0, 4e-05, 1e-05, 0.00049, 0.0, 2e-05, 1e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 7e-05, 3e-05, 0.00098, 0.0, 8e-05, 4e-05, 0.00143, 0.0, 0.00017, 7e-05, 0.0025, 0.0, 0.00048, 0.00031, 0.00878, 0.0, 0.0015, 0.00068, 0.02956, 0.00059]\n",
      "loss: 0.001350  [  160/  391] grads: [0.0004, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 1e-05, 1e-05, 0.00037, 0.0, 3e-05, 1e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 2e-05, 1e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00073, 0.0, 6e-05, 4e-05, 0.00092, 0.0, 0.00011, 5e-05, 0.00151, 0.0, 0.00017, 0.0001, 0.00298, 0.0, 0.00069, 0.00091, 0.0132, 0.0015]\n",
      "loss: 0.002015  [  192/  391] grads: [0.00084, 0.0, 0.00012, 7e-05, 0.00114, 0.0, 8e-05, 6e-05, 0.00069, 0.0, 5e-05, 4e-05, 0.00066, 0.0, 5e-05, 5e-05, 0.00079, 0.0, 4e-05, 3e-05, 0.00084, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 7e-05, 5e-05, 0.00135, 0.0, 0.00013, 0.0001, 0.00169, 0.0, 0.00021, 0.00016, 0.00277, 0.0, 0.00065, 0.00055, 0.00895, 0.0, 0.00306, 0.00194, 0.05256, 0.00089]\n",
      "loss: 0.002131  [  224/  391] grads: [0.00125, 0.0, 0.00011, 8e-05, 0.00103, 0.0, 8e-05, 6e-05, 0.00068, 0.0, 6e-05, 4e-05, 0.00072, 0.0, 6e-05, 4e-05, 0.00074, 0.0, 4e-05, 3e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 8e-05, 5e-05, 0.00144, 0.0, 0.00015, 0.00011, 0.00232, 0.0, 0.0003, 0.00023, 0.00404, 0.0, 0.00098, 0.00081, 0.01377, 0.0, 0.0041, 0.00304, 0.07322, 0.00389]\n",
      "loss: 0.001811  [  256/  391] grads: [0.00086, 0.0, 6e-05, 4e-05, 0.00062, 0.0, 6e-05, 3e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00046, 0.0, 4e-05, 3e-05, 0.00051, 0.0, 4e-05, 2e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00062, 0.0, 5e-05, 4e-05, 0.00095, 0.0, 9e-05, 7e-05, 0.00107, 0.0, 0.00012, 0.0001, 0.00188, 0.0, 0.00017, 0.00014, 0.00255, 0.0, 0.00212, 0.00388, 0.03801, 0.00566]\n",
      "loss: 0.005492  [  288/  391] grads: [0.0011, 0.0, 0.00013, 0.00011, 0.00126, 0.0, 0.0001, 8e-05, 0.00091, 0.0, 9e-05, 6e-05, 0.001, 0.0, 0.00011, 6e-05, 0.0012, 0.0, 7e-05, 4e-05, 0.00124, 0.0, 8e-05, 4e-05, 0.00133, 0.0, 0.00012, 8e-05, 0.00257, 0.0, 0.00023, 0.0002, 0.00418, 0.0, 0.00067, 0.00053, 0.009, 0.0, 0.00189, 0.00155, 0.02952, 0.0, 0.00759, 0.00953, 0.14753, 0.01533]\n",
      "loss: 0.001772  [  320/  391] grads: [0.00113, 0.0, 8e-05, 4e-05, 0.00099, 0.0, 6e-05, 4e-05, 0.00094, 0.0, 8e-05, 4e-05, 0.00094, 0.0, 7e-05, 4e-05, 0.00096, 0.0, 6e-05, 3e-05, 0.00099, 0.0, 7e-05, 4e-05, 0.00086, 0.0, 8e-05, 5e-05, 0.00138, 0.0, 0.00011, 7e-05, 0.00154, 0.0, 0.00016, 0.00012, 0.00305, 0.0, 0.00055, 0.00039, 0.00938, 0.0, 0.00123, 0.00137, 0.02603, 0.00231]\n",
      "loss: 0.003091  [  352/  391] grads: [0.00133, 0.0, 0.00013, 4e-05, 0.00142, 0.0, 0.00011, 6e-05, 0.00104, 0.0, 0.0001, 4e-05, 0.001, 0.0, 0.0001, 3e-05, 0.00109, 0.0, 9e-05, 4e-05, 0.00101, 0.0, 6e-05, 4e-05, 0.00114, 0.0, 0.00012, 8e-05, 0.00207, 0.0, 0.00019, 0.00019, 0.00356, 0.0, 0.00041, 0.00042, 0.00618, 0.0, 0.00093, 0.00091, 0.01651, 0.0, 0.00549, 0.00845, 0.11507, 0.01462]\n",
      "loss: 0.001976  [  168/  391] grads: [0.00075, 0.0, 4e-05, 5e-05, 0.00053, 0.0, 2e-05, 4e-05, 0.00056, 0.0, 3e-05, 3e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 3e-05, 2e-05, 0.00084, 0.0, 6e-05, 4e-05, 0.00093, 0.0, 8e-05, 5e-05, 0.00146, 0.0, 0.00014, 8e-05, 0.00191, 0.0, 0.00031, 0.00018, 0.00371, 0.0, 0.00071, 0.00046, 0.01137, 0.0, 0.00246, 0.00164, 0.04973, 0.00255]\n",
      "Epoch 20\n",
      "-------------------------------\n",
      "loss: 0.002018  [    0/  391] grads: [0.00126, 0.0, 8e-05, 4e-05, 0.00106, 0.0, 4e-05, 2e-05, 0.00097, 0.0, 6e-05, 3e-05, 0.0011, 0.0, 5e-05, 3e-05, 0.00111, 0.0, 6e-05, 3e-05, 0.00138, 0.0, 9e-05, 6e-05, 0.00124, 0.0, 0.0001, 6e-05, 0.00187, 0.0, 0.00016, 0.00012, 0.00242, 0.0, 0.00027, 0.00021, 0.00407, 0.0, 0.00053, 0.00041, 0.00807, 0.0, 0.00189, 0.00403, 0.04168, 0.00724]\n",
      "loss: 0.001618  [   32/  391] grads: [0.00053, 0.0, 5e-05, 3e-05, 0.00056, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 2e-05, 2e-05, 0.00056, 0.0, 3e-05, 2e-05, 0.00072, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 6e-05, 4e-05, 0.00097, 0.0, 7e-05, 5e-05, 0.00109, 0.0, 0.00013, 8e-05, 0.00204, 0.0, 0.00048, 0.00034, 0.00732, 0.0, 0.00179, 0.0031, 0.03703, 0.00565]\n",
      "loss: 0.001931  [   64/  391] grads: [0.00054, 0.0, 2e-05, 4e-05, 0.00039, 0.0, 1e-05, 4e-05, 0.00029, 0.0, 2e-05, 3e-05, 0.0005, 0.0, 5e-05, 2e-05, 0.0006, 0.0, 3e-05, 2e-05, 0.00076, 0.0, 6e-05, 4e-05, 0.00085, 0.0, 7e-05, 4e-05, 0.00122, 0.0, 0.00014, 0.0001, 0.00157, 0.0, 0.00011, 0.00013, 0.00181, 0.0, 0.00013, 0.00019, 0.00359, 0.0, 0.00241, 0.00493, 0.046, 0.00773]\n",
      "loss: 0.002638  [   96/  391] grads: [0.00156, 0.0, 0.0001, 6e-05, 0.00098, 0.0, 7e-05, 5e-05, 0.00087, 0.0, 6e-05, 5e-05, 0.00109, 0.0, 6e-05, 4e-05, 0.00122, 0.0, 6e-05, 3e-05, 0.00158, 0.0, 0.0001, 5e-05, 0.00138, 0.0, 0.00012, 7e-05, 0.00191, 0.0, 0.00014, 0.00011, 0.00255, 0.0, 0.00026, 0.00028, 0.00481, 0.0, 0.00043, 0.00043, 0.0089, 0.0, 0.00366, 0.00586, 0.06778, 0.00937]\n",
      "loss: 0.001746  [  128/  391] grads: [0.00101, 0.0, 6e-05, 3e-05, 0.00063, 0.0, 4e-05, 3e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 5e-05, 2e-05, 0.00064, 0.0, 4e-05, 2e-05, 0.00064, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 7e-05, 4e-05, 0.00117, 0.0, 0.0001, 6e-05, 0.00146, 0.0, 0.0002, 0.00012, 0.0028, 0.0, 0.00064, 0.00047, 0.01173, 0.0, 0.00174, 0.00179, 0.0342, 0.00179]\n",
      "loss: 0.001576  [  160/  391] grads: [0.00034, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 2e-05, 2e-05, 0.00052, 0.0, 4e-05, 1e-05, 0.0007, 0.0, 5e-05, 2e-05, 0.00078, 0.0, 4e-05, 2e-05, 0.00078, 0.0, 4e-05, 3e-05, 0.00071, 0.0, 6e-05, 3e-05, 0.00098, 0.0, 0.0001, 7e-05, 0.00144, 0.0, 9e-05, 0.00012, 0.0018, 0.0, 0.00011, 0.00018, 0.00231, 0.0, 0.00169, 0.00348, 0.03032, 0.00517]\n",
      "loss: 0.001771  [  192/  391] grads: [0.00099, 0.0, 0.00015, 8e-05, 0.0013, 0.0, 0.0001, 7e-05, 0.00088, 0.0, 6e-05, 6e-05, 0.00096, 0.0, 8e-05, 7e-05, 0.00127, 0.0, 7e-05, 5e-05, 0.0013, 0.0, 8e-05, 5e-05, 0.00122, 0.0, 8e-05, 5e-05, 0.00168, 0.0, 0.00015, 0.0001, 0.00159, 0.0, 0.00012, 0.00011, 0.00186, 0.0, 0.00022, 0.00014, 0.00408, 0.0, 0.00112, 0.00073, 0.01861, 2e-05]\n",
      "loss: 0.002016  [  224/  391] grads: [0.00152, 0.0, 0.00017, 9e-05, 0.00159, 0.0, 0.00013, 9e-05, 0.00109, 0.0, 0.0001, 6e-05, 0.00098, 0.0, 9e-05, 5e-05, 0.00102, 0.0, 7e-05, 4e-05, 0.00117, 0.0, 8e-05, 5e-05, 0.00122, 0.0, 0.0001, 6e-05, 0.00172, 0.0, 0.00014, 0.00013, 0.00237, 0.0, 0.00024, 0.00028, 0.00364, 0.0, 0.00055, 0.00064, 0.0097, 0.0, 0.00379, 0.005, 0.07108, 0.00791]\n",
      "loss: 0.001308  [  256/  391] grads: [0.00026, 0.0, 2e-05, 4e-05, 0.00031, 0.0, 1e-05, 3e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00066, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 8e-05, 5e-05, 0.00099, 0.0, 0.00011, 6e-05, 0.00155, 0.0, 0.00033, 0.00017, 0.00519, 0.0, 0.00112, 0.00092, 0.02144, 0.00055]\n",
      "loss: 0.006118  [  288/  391] grads: [0.00193, 0.0, 0.00025, 0.00016, 0.00231, 0.0, 0.00017, 0.00015, 0.00159, 0.0, 0.00016, 0.00011, 0.00157, 0.0, 0.00017, 7e-05, 0.00187, 0.0, 0.00012, 6e-05, 0.00198, 0.0, 0.00012, 7e-05, 0.00197, 0.0, 0.00017, 0.0001, 0.00316, 0.0, 0.00029, 0.00024, 0.00515, 0.0, 0.00066, 0.00062, 0.0092, 0.0, 0.00157, 0.00142, 0.02417, 0.0, 0.00903, 0.01217, 0.16736, 0.01901]\n",
      "loss: 0.001674  [  320/  391] grads: [0.00077, 0.0, 5e-05, 2e-05, 0.00061, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.00059, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 5e-05, 4e-05, 0.0009, 0.0, 7e-05, 5e-05, 0.0013, 0.0, 0.00011, 8e-05, 0.00156, 0.0, 0.00014, 0.00013, 0.00258, 0.0, 0.00046, 0.0004, 0.00699, 0.0, 0.00156, 0.00132, 0.02728, 0.00128]\n",
      "loss: 0.003971  [  352/  391] grads: [0.00156, 0.0, 0.00017, 0.00012, 0.00182, 0.0, 0.00014, 0.00012, 0.00137, 0.0, 0.00015, 8e-05, 0.00135, 0.0, 0.0002, 8e-05, 0.00188, 0.0, 0.00012, 6e-05, 0.00149, 0.0, 8e-05, 5e-05, 0.0017, 0.0, 0.00016, 9e-05, 0.00273, 0.0, 0.00023, 0.00022, 0.00428, 0.0, 0.00051, 0.00055, 0.00749, 0.0, 0.0011, 0.00114, 0.0186, 0.0, 0.00696, 0.01031, 0.13944, 0.01748]\n",
      "loss: 0.002161  [  168/  391] grads: [0.00146, 0.0, 8e-05, 4e-05, 0.00097, 0.0, 5e-05, 4e-05, 0.00105, 0.0, 7e-05, 5e-05, 0.00118, 0.0, 7e-05, 5e-05, 0.00128, 0.0, 7e-05, 5e-05, 0.00166, 0.0, 0.0001, 6e-05, 0.00166, 0.0, 0.00012, 9e-05, 0.00232, 0.0, 0.00017, 0.00014, 0.00286, 0.0, 0.00033, 0.0003, 0.00528, 0.0, 0.00042, 0.00038, 0.00705, 0.0, 0.00203, 0.0044, 0.0418, 0.00762]\n",
      "Epoch 21\n",
      "-------------------------------\n",
      "loss: 0.001712  [    0/  391] grads: [0.00071, 0.0, 5e-05, 2e-05, 0.00052, 0.0, 2e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 4e-05, 3e-05, 0.00079, 0.0, 5e-05, 4e-05, 0.00088, 0.0, 8e-05, 5e-05, 0.00127, 0.0, 0.0001, 6e-05, 0.00158, 0.0, 0.00022, 0.00013, 0.00291, 0.0, 0.00057, 0.00031, 0.00875, 0.0, 0.00206, 0.0013, 0.03859, 0.00164]\n",
      "loss: 0.002832  [   32/  391] grads: [0.00167, 0.0, 6e-05, 0.00011, 0.00064, 0.0, 4e-05, 9e-05, 0.00056, 0.0, 3e-05, 7e-05, 0.0007, 0.0, 4e-05, 6e-05, 0.00082, 0.0, 5e-05, 5e-05, 0.00084, 0.0, 5e-05, 4e-05, 0.00105, 0.0, 0.00011, 9e-05, 0.00151, 0.0, 0.00013, 0.00013, 0.00189, 0.0, 0.00026, 0.00022, 0.00401, 0.0, 0.0007, 0.00051, 0.00902, 0.0, 0.00419, 0.00717, 0.07634, 0.01039]\n",
      "loss: 0.001859  [   64/  391] grads: [0.00043, 0.0, 1e-05, 3e-05, 0.00025, 0.0, 1e-05, 3e-05, 0.00034, 0.0, 2e-05, 3e-05, 0.00047, 0.0, 4e-05, 3e-05, 0.00059, 0.0, 4e-05, 2e-05, 0.00061, 0.0, 3e-05, 2e-05, 0.0008, 0.0, 7e-05, 4e-05, 0.00118, 0.0, 9e-05, 6e-05, 0.00125, 0.0, 0.00014, 0.0001, 0.00185, 0.0, 0.00021, 0.0001, 0.0039, 0.0, 0.00256, 0.00475, 0.04665, 0.00719]\n",
      "loss: 0.002354  [   96/  391] grads: [0.00183, 0.0, 0.00011, 9e-05, 0.001, 0.0, 9e-05, 7e-05, 0.00075, 0.0, 8e-05, 6e-05, 0.00078, 0.0, 7e-05, 4e-05, 0.00101, 0.0, 7e-05, 4e-05, 0.0011, 0.0, 7e-05, 4e-05, 0.00113, 0.0, 0.00011, 6e-05, 0.00162, 0.0, 0.00013, 0.00011, 0.0023, 0.0, 0.00026, 0.00027, 0.00432, 0.0, 0.00059, 0.00052, 0.00954, 0.0, 0.00355, 0.00505, 0.06404, 0.00791]\n",
      "loss: 0.001772  [  128/  391] grads: [0.00071, 0.0, 5e-05, 2e-05, 0.00047, 0.0, 3e-05, 3e-05, 0.00037, 0.0, 2e-05, 2e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 7e-05, 3e-05, 0.00088, 0.0, 8e-05, 5e-05, 0.00128, 0.0, 0.00015, 7e-05, 0.0022, 0.0, 0.00045, 0.00025, 0.00784, 0.0, 0.00264, 0.00377, 0.04582, 0.00467]\n",
      "loss: 0.001498  [  160/  391] grads: [0.00085, 0.0, 6e-05, 2e-05, 0.00064, 0.0, 5e-05, 2e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 5e-05, 2e-05, 0.00057, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 3e-05, 2e-05, 0.00073, 0.0, 5e-05, 3e-05, 0.00092, 0.0, 5e-05, 4e-05, 0.00109, 0.0, 8e-05, 5e-05, 0.00164, 0.0, 0.0003, 0.00023, 0.00534, 0.0, 0.00137, 0.00185, 0.02466, 0.0025]\n",
      "loss: 0.001616  [  192/  391] grads: [0.00037, 0.0, 7e-05, 6e-05, 0.00065, 0.0, 4e-05, 5e-05, 0.00044, 0.0, 4e-05, 4e-05, 0.00064, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 3e-05, 3e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.00079, 0.0, 6e-05, 4e-05, 0.00118, 0.0, 0.00012, 6e-05, 0.00128, 0.0, 0.00014, 9e-05, 0.00195, 0.0, 0.00044, 0.00029, 0.00571, 0.0, 0.00181, 0.00125, 0.03168, 4e-05]\n",
      "loss: 0.002193  [  224/  391] grads: [0.00177, 0.0, 0.00017, 0.00013, 0.00157, 0.0, 0.00013, 0.0001, 0.00101, 0.0, 0.00011, 8e-05, 0.00101, 0.0, 0.0001, 5e-05, 0.00108, 0.0, 7e-05, 4e-05, 0.00103, 0.0, 7e-05, 4e-05, 0.00118, 0.0, 0.0001, 6e-05, 0.00177, 0.0, 0.00016, 0.00013, 0.00248, 0.0, 0.00029, 0.00029, 0.00393, 0.0, 0.00087, 0.00081, 0.01255, 0.0, 0.00443, 0.00482, 0.08196, 0.00757]\n",
      "loss: 0.001444  [  256/  391] grads: [0.00058, 0.0, 3e-05, 3e-05, 0.00044, 0.0, 2e-05, 2e-05, 0.00052, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 4e-05, 2e-05, 0.00082, 0.0, 5e-05, 3e-05, 0.00074, 0.0, 4e-05, 3e-05, 0.0009, 0.0, 7e-05, 4e-05, 0.00111, 0.0, 8e-05, 6e-05, 0.00129, 0.0, 0.00013, 6e-05, 0.00199, 0.0, 0.00034, 0.00017, 0.00597, 0.0, 0.00121, 0.00152, 0.02147, 0.00172]\n",
      "loss: 0.004884  [  288/  391] grads: [0.0025, 0.0, 0.00017, 8e-05, 0.00146, 0.0, 0.00013, 6e-05, 0.001, 0.0, 0.00014, 6e-05, 0.00137, 0.0, 0.00018, 7e-05, 0.00171, 0.0, 0.0001, 4e-05, 0.00132, 0.0, 8e-05, 4e-05, 0.00165, 0.0, 0.00011, 7e-05, 0.00275, 0.0, 0.00021, 0.00018, 0.00369, 0.0, 0.00048, 0.00047, 0.00687, 0.0, 0.00138, 0.0013, 0.02058, 0.0, 0.00722, 0.01068, 0.1328, 0.01668]\n",
      "loss: 0.001543  [  320/  391] grads: [0.00064, 0.0, 4e-05, 3e-05, 0.00055, 0.0, 3e-05, 3e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00067, 0.0, 4e-05, 2e-05, 0.00073, 0.0, 5e-05, 3e-05, 0.0009, 0.0, 6e-05, 3e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.00114, 0.0, 8e-05, 5e-05, 0.00127, 0.0, 0.00014, 0.00012, 0.00235, 0.0, 0.0005, 0.0004, 0.00715, 0.0, 0.00172, 0.00116, 0.03071, 0.00047]\n",
      "loss: 0.002761  [  352/  391] grads: [0.00133, 0.0, 0.00014, 7e-05, 0.00134, 0.0, 0.00011, 8e-05, 0.00096, 0.0, 0.00011, 5e-05, 0.00094, 0.0, 0.00011, 5e-05, 0.00108, 0.0, 9e-05, 5e-05, 0.00101, 0.0, 6e-05, 4e-05, 0.00124, 0.0, 0.00013, 7e-05, 0.00209, 0.0, 0.00018, 0.00015, 0.00311, 0.0, 0.00041, 0.00042, 0.0058, 0.0, 0.00102, 0.00094, 0.01646, 0.0, 0.00545, 0.00756, 0.10586, 0.01248]\n",
      "loss: 0.001834  [  168/  391] grads: [0.001, 0.0, 6e-05, 6e-05, 0.00077, 0.0, 4e-05, 6e-05, 0.00086, 0.0, 6e-05, 6e-05, 0.00093, 0.0, 7e-05, 4e-05, 0.00104, 0.0, 6e-05, 4e-05, 0.0012, 0.0, 7e-05, 5e-05, 0.00119, 0.0, 9e-05, 6e-05, 0.00156, 0.0, 0.00013, 0.00011, 0.00213, 0.0, 0.00029, 0.00025, 0.00393, 0.0, 0.0004, 0.00032, 0.00682, 0.0, 0.00215, 0.0039, 0.04227, 0.00677]\n",
      "Epoch 22\n",
      "-------------------------------\n",
      "loss: 0.001561  [    0/  391] grads: [0.00087, 0.0, 6e-05, 3e-05, 0.00077, 0.0, 4e-05, 2e-05, 0.00079, 0.0, 6e-05, 3e-05, 0.00088, 0.0, 6e-05, 4e-05, 0.00099, 0.0, 5e-05, 4e-05, 0.00108, 0.0, 7e-05, 5e-05, 0.0011, 0.0, 8e-05, 5e-05, 0.00147, 0.0, 0.00011, 9e-05, 0.00177, 0.0, 0.00019, 0.00017, 0.0031, 0.0, 0.00026, 0.00022, 0.00442, 0.0, 0.00083, 0.00211, 0.01737, 0.00351]\n",
      "loss: 0.001708  [   32/  391] grads: [0.00053, 0.0, 4e-05, 9e-05, 0.00057, 0.0, 3e-05, 7e-05, 0.00045, 0.0, 4e-05, 4e-05, 0.00045, 0.0, 2e-05, 3e-05, 0.00057, 0.0, 3e-05, 2e-05, 0.00075, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 6e-05, 4e-05, 0.00106, 0.0, 0.00012, 8e-05, 0.00152, 0.0, 0.00023, 0.00016, 0.00317, 0.0, 0.00049, 0.00034, 0.00635, 0.0, 0.00249, 0.0043, 0.04791, 0.00647]\n",
      "loss: 0.002134  [   64/  391] grads: [0.00064, 0.0, 2e-05, 7e-05, 0.00039, 0.0, 1e-05, 6e-05, 0.00029, 0.0, 2e-05, 4e-05, 0.00041, 0.0, 3e-05, 4e-05, 0.0005, 0.0, 2e-05, 2e-05, 0.00058, 0.0, 3e-05, 3e-05, 0.00072, 0.0, 6e-05, 5e-05, 0.0012, 0.0, 0.00015, 0.0001, 0.00173, 0.0, 0.00027, 0.00018, 0.00328, 0.0, 0.00046, 0.00025, 0.00689, 0.0, 0.00304, 0.00544, 0.0567, 0.00794]\n",
      "loss: 0.002897  [   96/  391] grads: [0.00064, 0.0, 4e-05, 9e-05, 0.00061, 0.0, 3e-05, 8e-05, 0.00073, 0.0, 4e-05, 7e-05, 0.00094, 0.0, 6e-05, 6e-05, 0.00101, 0.0, 5e-05, 4e-05, 0.00128, 0.0, 9e-05, 6e-05, 0.0014, 0.0, 0.00012, 7e-05, 0.002, 0.0, 0.00019, 0.00011, 0.0024, 0.0, 0.0003, 0.0002, 0.00389, 0.0, 0.00069, 0.00052, 0.01006, 0.0, 0.0042, 0.0035, 0.07417, 0.00237]\n",
      "loss: 0.001626  [  128/  391] grads: [0.00128, 0.0, 0.0001, 4e-05, 0.00096, 0.0, 8e-05, 4e-05, 0.0007, 0.0, 7e-05, 3e-05, 0.00062, 0.0, 8e-05, 3e-05, 0.00079, 0.0, 6e-05, 3e-05, 0.00093, 0.0, 6e-05, 4e-05, 0.00107, 0.0, 0.0001, 5e-05, 0.00155, 0.0, 0.00011, 8e-05, 0.00175, 0.0, 0.00016, 0.00015, 0.00277, 0.0, 0.0005, 0.00058, 0.00891, 0.0, 0.00264, 0.0038, 0.04552, 0.00552]\n",
      "loss: 0.001551  [  160/  391] grads: [0.00065, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 2e-05, 1e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00081, 0.0, 7e-05, 4e-05, 0.00085, 0.0, 4e-05, 3e-05, 0.0009, 0.0, 5e-05, 3e-05, 0.00098, 0.0, 8e-05, 5e-05, 0.00138, 0.0, 0.00013, 8e-05, 0.00157, 0.0, 0.00018, 0.00013, 0.00274, 0.0, 0.0004, 0.00024, 0.00605, 0.0, 0.00172, 0.00259, 0.02925, 0.00295]\n",
      "loss: 0.001689  [  192/  391] grads: [0.00098, 0.0, 0.0001, 4e-05, 0.00082, 0.0, 7e-05, 3e-05, 0.00065, 0.0, 5e-05, 3e-05, 0.00072, 0.0, 5e-05, 2e-05, 0.00074, 0.0, 3e-05, 3e-05, 0.00104, 0.0, 6e-05, 4e-05, 0.00108, 0.0, 7e-05, 5e-05, 0.00133, 0.0, 0.0001, 7e-05, 0.00137, 0.0, 0.00012, 0.00011, 0.00176, 0.0, 0.00014, 0.00017, 0.00326, 0.0, 0.00124, 0.00192, 0.02201, 0.00292]\n",
      "loss: 0.001988  [  224/  391] grads: [0.00069, 0.0, 6e-05, 6e-05, 0.00059, 0.0, 4e-05, 4e-05, 0.0006, 0.0, 4e-05, 4e-05, 0.00071, 0.0, 4e-05, 3e-05, 0.00081, 0.0, 4e-05, 4e-05, 0.00093, 0.0, 6e-05, 4e-05, 0.00095, 0.0, 7e-05, 5e-05, 0.00134, 0.0, 0.0001, 6e-05, 0.0015, 0.0, 0.00018, 0.00012, 0.00273, 0.0, 0.0005, 0.00043, 0.00723, 0.0, 0.00282, 0.00212, 0.04522, 0.00106]\n",
      "loss: 0.001571  [  256/  391] grads: [0.0004, 0.0, 4e-05, 1e-05, 0.00035, 0.0, 3e-05, 1e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 5e-05, 3e-05, 0.0006, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 3e-05, 3e-05, 0.00075, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 6e-05, 5e-05, 0.00103, 0.0, 0.00011, 8e-05, 0.00144, 0.0, 0.00021, 0.00018, 0.00346, 0.0, 0.00166, 0.00305, 0.02963, 0.00457]\n",
      "loss: 0.005785  [  288/  391] grads: [0.00295, 0.0, 0.00022, 0.00017, 0.00192, 0.0, 0.00017, 0.00014, 0.00126, 0.0, 0.00014, 0.0001, 0.00129, 0.0, 0.00015, 6e-05, 0.00153, 0.0, 0.0001, 6e-05, 0.00143, 0.0, 8e-05, 4e-05, 0.00156, 0.0, 0.00018, 0.0001, 0.00266, 0.0, 0.00023, 0.00016, 0.00398, 0.0, 0.00057, 0.00048, 0.00765, 0.0, 0.00166, 0.00137, 0.02454, 0.0, 0.00894, 0.01129, 0.15885, 0.01733]\n",
      "loss: 0.001875  [  320/  391] grads: [0.00104, 0.0, 7e-05, 4e-05, 0.0008, 0.0, 4e-05, 3e-05, 0.00094, 0.0, 9e-05, 4e-05, 0.00098, 0.0, 7e-05, 4e-05, 0.00126, 0.0, 8e-05, 4e-05, 0.00119, 0.0, 7e-05, 4e-05, 0.00112, 0.0, 9e-05, 6e-05, 0.00169, 0.0, 0.00015, 9e-05, 0.00193, 0.0, 0.00016, 0.00013, 0.00331, 0.0, 0.00069, 0.00058, 0.00985, 0.0, 0.00187, 0.00156, 0.03305, 0.00142]\n",
      "loss: 0.002984  [  352/  391] grads: [0.00162, 0.0, 0.00017, 0.00012, 0.00165, 0.0, 0.00012, 0.00011, 0.00127, 0.0, 0.00013, 7e-05, 0.0012, 0.0, 0.00011, 4e-05, 0.00136, 0.0, 0.0001, 5e-05, 0.00126, 0.0, 9e-05, 5e-05, 0.00136, 0.0, 0.00014, 8e-05, 0.00232, 0.0, 0.00019, 0.00014, 0.00309, 0.0, 0.00046, 0.00039, 0.00635, 0.0, 0.00163, 0.00138, 0.02167, 0.0, 0.00666, 0.00749, 0.12741, 0.01201]\n",
      "loss: 0.002223  [  168/  391] grads: [0.00082, 0.0, 0.00012, 4e-05, 0.00089, 0.0, 9e-05, 3e-05, 0.00058, 0.0, 7e-05, 2e-05, 0.00058, 0.0, 6e-05, 2e-05, 0.00073, 0.0, 5e-05, 3e-05, 0.00082, 0.0, 5e-05, 3e-05, 0.00097, 0.0, 8e-05, 6e-05, 0.00184, 0.0, 0.00017, 0.00011, 0.00278, 0.0, 0.00042, 0.00035, 0.00594, 0.0, 0.0009, 0.00073, 0.01324, 0.0, 0.00397, 0.00537, 0.0746, 0.00918]\n",
      "Epoch 23\n",
      "-------------------------------\n",
      "loss: 0.001575  [    0/  391] grads: [0.00104, 0.0, 8e-05, 3e-05, 0.00081, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 7e-05, 4e-05, 0.00081, 0.0, 6e-05, 3e-05, 0.00094, 0.0, 6e-05, 4e-05, 0.001, 0.0, 7e-05, 4e-05, 0.00111, 0.0, 9e-05, 6e-05, 0.00175, 0.0, 0.00014, 9e-05, 0.0022, 0.0, 0.00023, 0.00015, 0.0037, 0.0, 0.00057, 0.00045, 0.00937, 0.0, 0.00141, 0.00137, 0.02782, 0.0025]\n",
      "loss: 0.001543  [   32/  391] grads: [0.00093, 0.0, 9e-05, 6e-05, 0.00088, 0.0, 6e-05, 4e-05, 0.00071, 0.0, 6e-05, 4e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00071, 0.0, 4e-05, 3e-05, 0.00087, 0.0, 6e-05, 5e-05, 0.00123, 0.0, 9e-05, 7e-05, 0.00189, 0.0, 0.00013, 9e-05, 0.00224, 0.0, 0.00023, 0.00019, 0.00413, 0.0, 0.00102, 0.00083, 0.01452, 0.0, 0.00256, 0.00191, 0.04837, 0.00175]\n",
      "loss: 0.002646  [   64/  391] grads: [0.00069, 0.0, 3e-05, 5e-05, 0.00045, 0.0, 4e-05, 4e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00051, 0.0, 6e-05, 3e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.00089, 0.0, 9e-05, 5e-05, 0.00144, 0.0, 0.00018, 0.00012, 0.00226, 0.0, 0.00035, 0.00026, 0.00481, 0.0, 0.0008, 0.00046, 0.01118, 0.0, 0.00416, 0.00772, 0.07508, 0.01114]\n",
      "loss: 0.001972  [   96/  391] grads: [0.00107, 0.0, 6e-05, 3e-05, 0.00072, 0.0, 3e-05, 2e-05, 0.00074, 0.0, 6e-05, 3e-05, 0.0009, 0.0, 7e-05, 4e-05, 0.00102, 0.0, 5e-05, 3e-05, 0.00106, 0.0, 7e-05, 5e-05, 0.00131, 0.0, 0.00012, 8e-05, 0.00217, 0.0, 0.00017, 0.00011, 0.00237, 0.0, 0.0002, 0.00014, 0.0032, 0.0, 0.00044, 0.00031, 0.0073, 0.0, 0.00161, 0.00216, 0.02855, 0.00252]\n",
      "loss: 0.001950  [  128/  391] grads: [0.00061, 0.0, 5e-05, 4e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 5e-05, 2e-05, 0.00059, 0.0, 4e-05, 2e-05, 0.00072, 0.0, 6e-05, 4e-05, 0.00078, 0.0, 7e-05, 4e-05, 0.00124, 0.0, 9e-05, 7e-05, 0.00206, 0.0, 0.00014, 0.00014, 0.00285, 0.0, 0.00068, 0.00065, 0.01077, 0.0, 0.00264, 0.00315, 0.05159, 0.0046]\n",
      "loss: 0.001748  [  160/  391] grads: [0.00064, 0.0, 7e-05, 5e-05, 0.0007, 0.0, 4e-05, 4e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00065, 0.0, 6e-05, 4e-05, 0.00113, 0.0, 0.00011, 7e-05, 0.00184, 0.0, 0.0002, 0.00017, 0.00395, 0.0, 0.00041, 0.00028, 0.00801, 0.0, 0.00179, 0.00297, 0.02998, 0.00413]\n",
      "loss: 0.002358  [  192/  391] grads: [0.00112, 0.0, 7e-05, 7e-05, 0.00077, 0.0, 5e-05, 5e-05, 0.00072, 0.0, 7e-05, 4e-05, 0.00072, 0.0, 6e-05, 4e-05, 0.00081, 0.0, 6e-05, 4e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.00089, 0.0, 8e-05, 5e-05, 0.00131, 0.0, 0.00012, 0.00011, 0.00158, 0.0, 0.0002, 0.00021, 0.00276, 0.0, 0.00025, 0.00027, 0.00301, 0.0, 0.00294, 0.00574, 0.05142, 0.00816]\n",
      "loss: 0.001741  [  224/  391] grads: [0.00059, 0.0, 7e-05, 7e-05, 0.00065, 0.0, 4e-05, 5e-05, 0.00049, 0.0, 4e-05, 4e-05, 0.00069, 0.0, 4e-05, 3e-05, 0.00068, 0.0, 3e-05, 3e-05, 0.00077, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 6e-05, 4e-05, 0.00115, 0.0, 9e-05, 6e-05, 0.00137, 0.0, 0.00015, 0.00011, 0.00201, 0.0, 0.00054, 0.00042, 0.00663, 0.0, 0.00259, 0.00199, 0.04024, 0.00095]\n",
      "loss: 0.001556  [  256/  391] grads: [0.00021, 0.0, 4e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00028, 0.0, 1e-05, 1e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 2e-05, 1e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 4e-05, 3e-05, 0.00073, 0.0, 5e-05, 4e-05, 0.00077, 0.0, 9e-05, 8e-05, 0.00147, 0.0, 0.00031, 0.00022, 0.00472, 0.0, 0.00108, 0.0018, 0.01986, 0.00294]\n",
      "loss: 0.005097  [  288/  391] grads: [0.00116, 0.0, 0.00015, 7e-05, 0.00127, 0.0, 0.00011, 5e-05, 0.00096, 0.0, 0.00013, 6e-05, 0.00138, 0.0, 0.00014, 5e-05, 0.00146, 0.0, 0.0001, 4e-05, 0.00135, 0.0, 8e-05, 4e-05, 0.00172, 0.0, 0.00013, 8e-05, 0.00288, 0.0, 0.00022, 0.00019, 0.00418, 0.0, 0.0005, 0.00044, 0.00655, 0.0, 0.00166, 0.0014, 0.02403, 0.0, 0.00718, 0.01007, 0.14153, 0.01608]\n",
      "loss: 0.001812  [  320/  391] grads: [0.00092, 0.0, 0.0001, 7e-05, 0.00111, 0.0, 7e-05, 6e-05, 0.00086, 0.0, 7e-05, 4e-05, 0.00084, 0.0, 6e-05, 3e-05, 0.00074, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.00091, 0.0, 8e-05, 5e-05, 0.00132, 0.0, 0.00011, 6e-05, 0.00155, 0.0, 0.00014, 0.00013, 0.00233, 0.0, 0.0006, 0.00046, 0.00824, 0.0, 0.00249, 0.00148, 0.04333, 0.00029]\n",
      "loss: 0.002874  [  352/  391] grads: [0.00136, 0.0, 0.00015, 0.00014, 0.00159, 0.0, 0.0001, 0.00011, 0.00119, 0.0, 0.0001, 8e-05, 0.00105, 0.0, 8e-05, 4e-05, 0.0009, 0.0, 7e-05, 4e-05, 0.00109, 0.0, 8e-05, 4e-05, 0.00114, 0.0, 0.00012, 6e-05, 0.00196, 0.0, 0.00017, 0.00014, 0.00297, 0.0, 0.00039, 0.00034, 0.00507, 0.0, 0.00131, 0.00108, 0.01973, 0.0, 0.00599, 0.00703, 0.12312, 0.01221]\n",
      "loss: 0.002292  [  168/  391] grads: [0.00056, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 3e-05, 1e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 4e-05, 2e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00094, 0.0, 6e-05, 4e-05, 0.00095, 0.0, 7e-05, 5e-05, 0.00129, 0.0, 0.00011, 9e-05, 0.0018, 0.0, 0.00029, 0.00021, 0.00351, 0.0, 0.00048, 0.00037, 0.0079, 0.0, 0.00324, 0.00611, 0.06598, 0.01085]\n",
      "Epoch 24\n",
      "-------------------------------\n",
      "loss: 0.002031  [    0/  391] grads: [0.00083, 0.0, 8e-05, 9e-05, 0.00093, 0.0, 5e-05, 6e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.00087, 0.0, 5e-05, 4e-05, 0.00074, 0.0, 4e-05, 3e-05, 0.00092, 0.0, 6e-05, 5e-05, 0.00098, 0.0, 8e-05, 5e-05, 0.00147, 0.0, 0.00013, 9e-05, 0.00182, 0.0, 0.0003, 0.00021, 0.00364, 0.0, 0.00053, 0.00039, 0.00833, 0.0, 0.00227, 0.00448, 0.04472, 0.00778]\n",
      "loss: 0.001934  [   32/  391] grads: [0.0008, 0.0, 0.0001, 0.00012, 0.00106, 0.0, 6e-05, 9e-05, 0.00075, 0.0, 7e-05, 6e-05, 0.00082, 0.0, 5e-05, 5e-05, 0.00079, 0.0, 5e-05, 3e-05, 0.00106, 0.0, 8e-05, 5e-05, 0.00106, 0.0, 8e-05, 6e-05, 0.00151, 0.0, 0.00012, 8e-05, 0.00163, 0.0, 0.00017, 0.00014, 0.00297, 0.0, 0.00063, 0.00054, 0.00953, 0.0, 0.00313, 0.00489, 0.05793, 0.00763]\n",
      "loss: 0.002200  [   64/  391] grads: [0.00038, 0.0, 5e-05, 0.00011, 0.00067, 0.0, 3e-05, 8e-05, 0.00042, 0.0, 2e-05, 6e-05, 0.00053, 0.0, 3e-05, 4e-05, 0.00047, 0.0, 3e-05, 3e-05, 0.00059, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 5e-05, 4e-05, 0.00098, 0.0, 0.00013, 9e-05, 0.00146, 0.0, 0.00021, 0.00015, 0.00251, 0.0, 0.00034, 0.00018, 0.00558, 0.0, 0.00321, 0.00598, 0.05954, 0.00893]\n",
      "loss: 0.001608  [   96/  391] grads: [0.00067, 0.0, 4e-05, 3e-05, 0.00048, 0.0, 2e-05, 2e-05, 0.00059, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 6e-05, 4e-05, 0.00074, 0.0, 4e-05, 2e-05, 0.00091, 0.0, 6e-05, 4e-05, 0.00096, 0.0, 8e-05, 5e-05, 0.00145, 0.0, 0.00012, 7e-05, 0.00157, 0.0, 0.00018, 9e-05, 0.00216, 0.0, 0.00034, 0.00024, 0.00607, 0.0, 0.00177, 0.00201, 0.03213, 0.00229]\n",
      "loss: 0.001825  [  128/  391] grads: [0.00125, 0.0, 0.00012, 6e-05, 0.00125, 0.0, 8e-05, 5e-05, 0.00093, 0.0, 9e-05, 4e-05, 0.00086, 0.0, 7e-05, 3e-05, 0.00086, 0.0, 7e-05, 3e-05, 0.00098, 0.0, 7e-05, 4e-05, 0.00101, 0.0, 9e-05, 5e-05, 0.00149, 0.0, 0.00013, 6e-05, 0.0018, 0.0, 0.00018, 0.00011, 0.00311, 0.0, 0.00071, 0.00066, 0.01224, 0.0, 0.00206, 0.00129, 0.03365, 0.00036]\n",
      "loss: 0.001736  [  160/  391] grads: [0.00067, 0.0, 3e-05, 3e-05, 0.00035, 0.0, 1e-05, 2e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.00064, 0.0, 4e-05, 3e-05, 0.00086, 0.0, 6e-05, 4e-05, 0.00107, 0.0, 0.0001, 6e-05, 0.00119, 0.0, 0.00011, 9e-05, 0.00198, 0.0, 0.00029, 0.00011, 0.00459, 0.0, 0.00198, 0.00354, 0.03278, 0.00483]\n",
      "loss: 0.001631  [  192/  391] grads: [0.00078, 0.0, 0.0001, 0.00011, 0.00089, 0.0, 7e-05, 8e-05, 0.00058, 0.0, 5e-05, 7e-05, 0.00076, 0.0, 5e-05, 5e-05, 0.00073, 0.0, 4e-05, 3e-05, 0.00082, 0.0, 5e-05, 4e-05, 0.00099, 0.0, 6e-05, 4e-05, 0.00131, 0.0, 0.0001, 8e-05, 0.00125, 0.0, 0.00012, 9e-05, 0.00165, 0.0, 0.00038, 0.0003, 0.00509, 0.0, 0.00207, 0.00155, 0.03455, 0.00076]\n",
      "loss: 0.001985  [  224/  391] grads: [0.001, 0.0, 0.00012, 0.00012, 0.00106, 0.0, 8e-05, 0.0001, 0.00074, 0.0, 7e-05, 8e-05, 0.00085, 0.0, 6e-05, 5e-05, 0.00098, 0.0, 6e-05, 4e-05, 0.00103, 0.0, 6e-05, 4e-05, 0.00113, 0.0, 9e-05, 6e-05, 0.00172, 0.0, 0.00016, 0.00012, 0.00223, 0.0, 0.00027, 0.00027, 0.00343, 0.0, 0.00066, 0.00057, 0.00956, 0.0, 0.00359, 0.00356, 0.06399, 0.00524]\n",
      "loss: 0.001883  [  256/  391] grads: [0.00082, 0.0, 5e-05, 8e-05, 0.00069, 0.0, 4e-05, 6e-05, 0.00063, 0.0, 4e-05, 5e-05, 0.00076, 0.0, 8e-05, 4e-05, 0.00118, 0.0, 8e-05, 4e-05, 0.00107, 0.0, 6e-05, 5e-05, 0.00126, 0.0, 0.0001, 6e-05, 0.00159, 0.0, 0.00012, 0.0001, 0.00163, 0.0, 0.00015, 0.00012, 0.0022, 0.0, 0.00019, 0.00018, 0.00374, 0.0, 0.00179, 0.0033, 0.03115, 0.00473]\n",
      "loss: 0.006144  [  288/  391] grads: [0.00262, 0.0, 0.00018, 9e-05, 0.0016, 0.0, 0.00014, 6e-05, 0.00113, 0.0, 0.00015, 6e-05, 0.00154, 0.0, 0.00018, 6e-05, 0.00148, 0.0, 0.0001, 4e-05, 0.00131, 0.0, 7e-05, 4e-05, 0.00145, 0.0, 0.00012, 8e-05, 0.00251, 0.0, 0.00024, 0.00022, 0.00399, 0.0, 0.00063, 0.00054, 0.0073, 0.0, 0.00163, 0.00142, 0.02253, 0.0, 0.00872, 0.01296, 0.15765, 0.02021]\n",
      "loss: 0.001936  [  320/  391] grads: [0.00108, 0.0, 0.0001, 5e-05, 0.00108, 0.0, 6e-05, 4e-05, 0.00097, 0.0, 9e-05, 4e-05, 0.00093, 0.0, 9e-05, 4e-05, 0.00104, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 7e-05, 5e-05, 0.00126, 0.0, 0.00011, 7e-05, 0.00186, 0.0, 0.00015, 0.0001, 0.00195, 0.0, 0.00018, 0.00021, 0.00334, 0.0, 0.00071, 0.00068, 0.00962, 0.0, 0.00294, 0.00189, 0.05042, 0.0001]\n",
      "loss: 0.003088  [  352/  391] grads: [0.00124, 0.0, 0.00012, 7e-05, 0.00127, 0.0, 8e-05, 7e-05, 0.00105, 0.0, 0.00011, 4e-05, 0.00102, 0.0, 0.0001, 3e-05, 0.00117, 0.0, 8e-05, 5e-05, 0.00118, 0.0, 6e-05, 4e-05, 0.0014, 0.0, 0.00014, 8e-05, 0.00232, 0.0, 0.00018, 0.00016, 0.00314, 0.0, 0.0005, 0.00044, 0.00611, 0.0, 0.00144, 0.0012, 0.01922, 0.0, 0.00623, 0.00764, 0.12176, 0.01285]\n",
      "loss: 0.002033  [  168/  391] grads: [0.00104, 0.0, 7e-05, 4e-05, 0.00065, 0.0, 4e-05, 4e-05, 0.00058, 0.0, 3e-05, 3e-05, 0.00069, 0.0, 4e-05, 2e-05, 0.00074, 0.0, 4e-05, 2e-05, 0.00084, 0.0, 5e-05, 3e-05, 0.00096, 0.0, 8e-05, 5e-05, 0.00156, 0.0, 0.00013, 0.0001, 0.00211, 0.0, 0.0004, 0.00029, 0.00432, 0.0, 0.00088, 0.00064, 0.01221, 0.0, 0.00342, 0.00424, 0.06682, 0.00741]\n",
      "Epoch 25\n",
      "-------------------------------\n",
      "loss: 0.001542  [    0/  391] grads: [0.00088, 0.0, 7e-05, 3e-05, 0.00075, 0.0, 5e-05, 2e-05, 0.00063, 0.0, 5e-05, 2e-05, 0.0007, 0.0, 4e-05, 2e-05, 0.00069, 0.0, 3e-05, 2e-05, 0.00085, 0.0, 5e-05, 4e-05, 0.00097, 0.0, 7e-05, 4e-05, 0.00142, 0.0, 0.00012, 8e-05, 0.00175, 0.0, 0.00028, 0.00017, 0.00293, 0.0, 0.00047, 0.00035, 0.007, 0.0, 0.00151, 0.00276, 0.02995, 0.00506]\n",
      "loss: 0.001551  [   32/  391] grads: [0.00078, 0.0, 8e-05, 4e-05, 0.00088, 0.0, 5e-05, 4e-05, 0.00084, 0.0, 7e-05, 3e-05, 0.00077, 0.0, 6e-05, 3e-05, 0.0007, 0.0, 5e-05, 2e-05, 0.00079, 0.0, 6e-05, 4e-05, 0.00087, 0.0, 8e-05, 5e-05, 0.00129, 0.0, 0.00011, 6e-05, 0.00147, 0.0, 0.00011, 0.00011, 0.00256, 0.0, 0.00063, 0.00058, 0.01015, 0.0, 0.00217, 0.00218, 0.04017, 0.00357]\n",
      "loss: 0.001894  [   64/  391] grads: [0.00047, 0.0, 3e-05, 7e-05, 0.00043, 0.0, 2e-05, 6e-05, 0.00031, 0.0, 2e-05, 4e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 6e-05, 4e-05, 0.00091, 0.0, 0.0001, 7e-05, 0.00142, 0.0, 0.00019, 0.00013, 0.00246, 0.0, 0.00051, 0.00033, 0.00678, 0.0, 0.00292, 0.00506, 0.05435, 0.00786]\n",
      "loss: 0.002330  [   96/  391] grads: [0.00041, 0.0, 5e-05, 6e-05, 0.00046, 0.0, 3e-05, 5e-05, 0.00043, 0.0, 3e-05, 5e-05, 0.0006, 0.0, 5e-05, 4e-05, 0.00068, 0.0, 3e-05, 3e-05, 0.00081, 0.0, 5e-05, 3e-05, 0.00103, 0.0, 0.0001, 5e-05, 0.00164, 0.0, 0.00018, 0.0001, 0.00237, 0.0, 0.00025, 0.00017, 0.00321, 0.0, 0.00091, 0.00057, 0.01221, 0.0, 0.00426, 0.00305, 0.07675, 0.00137]\n",
      "loss: 0.001562  [  128/  391] grads: [0.00115, 0.0, 8e-05, 3e-05, 0.00087, 0.0, 6e-05, 3e-05, 0.00076, 0.0, 7e-05, 2e-05, 0.00076, 0.0, 7e-05, 2e-05, 0.00074, 0.0, 5e-05, 2e-05, 0.0008, 0.0, 5e-05, 3e-05, 0.00084, 0.0, 8e-05, 4e-05, 0.00147, 0.0, 0.00015, 7e-05, 0.00179, 0.0, 0.00017, 7e-05, 0.00238, 0.0, 0.00046, 0.00031, 0.00838, 0.0, 0.00175, 0.00217, 0.03234, 0.00258]\n",
      "loss: 0.001577  [  160/  391] grads: [0.00061, 0.0, 4e-05, 4e-05, 0.00047, 0.0, 2e-05, 3e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00059, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 4e-05, 3e-05, 0.00077, 0.0, 7e-05, 4e-05, 0.00102, 0.0, 8e-05, 4e-05, 0.00138, 0.0, 0.0001, 7e-05, 0.00202, 0.0, 0.00049, 0.00038, 0.00741, 0.0, 0.00152, 0.00094, 0.02619, 0.0004]\n",
      "loss: 0.002133  [  192/  391] grads: [0.00062, 0.0, 0.0001, 0.00011, 0.00093, 0.0, 7e-05, 9e-05, 0.00058, 0.0, 6e-05, 7e-05, 0.00061, 0.0, 6e-05, 5e-05, 0.00059, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 5e-05, 3e-05, 0.00076, 0.0, 8e-05, 4e-05, 0.00129, 0.0, 0.00016, 0.0001, 0.00199, 0.0, 0.0002, 0.00018, 0.00305, 0.0, 0.00083, 0.00066, 0.01092, 0.0, 0.00353, 0.00252, 0.06024, 0.00295]\n",
      "loss: 0.002287  [  224/  391] grads: [0.00099, 0.0, 0.00013, 0.00013, 0.00118, 0.0, 9e-05, 0.00011, 0.00086, 0.0, 8e-05, 9e-05, 0.00101, 0.0, 8e-05, 6e-05, 0.00106, 0.0, 6e-05, 5e-05, 0.00128, 0.0, 8e-05, 5e-05, 0.00129, 0.0, 0.00012, 7e-05, 0.00199, 0.0, 0.00021, 0.00015, 0.00259, 0.0, 0.00028, 0.00027, 0.00383, 0.0, 0.00087, 0.00074, 0.01145, 0.0, 0.00416, 0.00353, 0.07115, 0.00488]\n",
      "loss: 0.001712  [  256/  391] grads: [0.0011, 0.0, 6e-05, 5e-05, 0.00066, 0.0, 5e-05, 4e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00069, 0.0, 7e-05, 3e-05, 0.00077, 0.0, 6e-05, 3e-05, 0.00087, 0.0, 6e-05, 4e-05, 0.00091, 0.0, 8e-05, 5e-05, 0.00145, 0.0, 0.00012, 8e-05, 0.00162, 0.0, 0.00013, 0.0001, 0.00233, 0.0, 0.00029, 0.00037, 0.00429, 0.0, 0.00192, 0.00335, 0.03456, 0.00488]\n",
      "loss: 0.007165  [  288/  391] grads: [0.00375, 0.0, 0.00035, 8e-05, 0.00276, 0.0, 0.00025, 0.00011, 0.00179, 0.0, 0.00023, 5e-05, 0.00171, 0.0, 0.00018, 6e-05, 0.00204, 0.0, 0.00017, 8e-05, 0.00203, 0.0, 0.00014, 6e-05, 0.00224, 0.0, 0.00019, 0.00011, 0.00363, 0.0, 0.00031, 0.00025, 0.00505, 0.0, 0.0008, 0.00073, 0.01062, 0.0, 0.00224, 0.00195, 0.02912, 0.0, 0.00993, 0.01555, 0.17695, 0.02304]\n",
      "loss: 0.002384  [  320/  391] grads: [0.00112, 0.0, 8e-05, 6e-05, 0.00105, 0.0, 5e-05, 5e-05, 0.00106, 0.0, 0.00011, 5e-05, 0.00106, 0.0, 7e-05, 4e-05, 0.00101, 0.0, 6e-05, 3e-05, 0.00112, 0.0, 7e-05, 5e-05, 0.00114, 0.0, 9e-05, 7e-05, 0.00169, 0.0, 0.00012, 8e-05, 0.00164, 0.0, 0.00019, 0.00014, 0.00294, 0.0, 0.00079, 0.00056, 0.00881, 0.0, 0.00334, 0.00335, 0.05325, 0.0034]\n",
      "loss: 0.003198  [  352/  391] grads: [0.00284, 0.0, 0.00023, 9e-05, 0.00226, 0.0, 0.00021, 8e-05, 0.00196, 0.0, 0.00021, 8e-05, 0.00208, 0.0, 0.00018, 6e-05, 0.00222, 0.0, 0.00017, 9e-05, 0.00222, 0.0, 0.00016, 8e-05, 0.00238, 0.0, 0.00022, 0.00011, 0.00361, 0.0, 0.0003, 0.00025, 0.00459, 0.0, 0.00047, 0.00048, 0.00642, 0.0, 0.00102, 0.00113, 0.01554, 0.0, 0.00599, 0.00899, 0.1122, 0.01431]\n",
      "loss: 0.001945  [  168/  391] grads: [0.00097, 0.0, 7e-05, 5e-05, 0.00065, 0.0, 5e-05, 4e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00077, 0.0, 7e-05, 3e-05, 0.00094, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 6e-05, 4e-05, 0.00108, 0.0, 9e-05, 6e-05, 0.00157, 0.0, 0.00012, 0.00011, 0.00211, 0.0, 0.0003, 0.00029, 0.00383, 0.0, 0.00049, 0.00041, 0.00785, 0.0, 0.00305, 0.00525, 0.05626, 0.00847]\n",
      "Epoch 26\n",
      "-------------------------------\n",
      "loss: 0.001611  [    0/  391] grads: [0.00077, 0.0, 5e-05, 4e-05, 0.00064, 0.0, 2e-05, 3e-05, 0.00063, 0.0, 4e-05, 2e-05, 0.00085, 0.0, 4e-05, 3e-05, 0.00089, 0.0, 5e-05, 3e-05, 0.00109, 0.0, 7e-05, 4e-05, 0.00116, 0.0, 8e-05, 4e-05, 0.00162, 0.0, 0.00012, 0.0001, 0.00185, 0.0, 0.00027, 0.00022, 0.00313, 0.0, 0.00032, 0.00027, 0.00456, 0.0, 0.00133, 0.00283, 0.02275, 0.00422]\n",
      "loss: 0.002390  [   32/  391] grads: [0.00097, 0.0, 7e-05, 0.00016, 0.00097, 0.0, 4e-05, 0.00013, 0.0008, 0.0, 6e-05, 8e-05, 0.00082, 0.0, 5e-05, 7e-05, 0.00081, 0.0, 5e-05, 4e-05, 0.00103, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 8e-05, 6e-05, 0.00137, 0.0, 0.00014, 0.00011, 0.00182, 0.0, 0.00027, 0.00022, 0.00374, 0.0, 0.00074, 0.00067, 0.00928, 0.0, 0.00388, 0.00541, 0.06736, 0.00738]\n",
      "loss: 0.002676  [   64/  391] grads: [0.00091, 0.0, 5e-05, 0.00018, 0.00087, 0.0, 3e-05, 0.00015, 0.00071, 0.0, 5e-05, 0.0001, 0.00076, 0.0, 7e-05, 7e-05, 0.00092, 0.0, 5e-05, 4e-05, 0.00087, 0.0, 5e-05, 4e-05, 0.0008, 0.0, 7e-05, 7e-05, 0.0012, 0.0, 0.00014, 0.00011, 0.00174, 0.0, 0.00023, 0.00018, 0.00353, 0.0, 0.00057, 0.00046, 0.00822, 0.0, 0.00434, 0.00719, 0.07458, 0.01012]\n",
      "loss: 0.002044  [   96/  391] grads: [0.00046, 0.0, 5e-05, 4e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00048, 0.0, 3e-05, 3e-05, 0.00063, 0.0, 4e-05, 3e-05, 0.0008, 0.0, 5e-05, 4e-05, 0.00103, 0.0, 6e-05, 3e-05, 0.00095, 0.0, 7e-05, 4e-05, 0.00133, 0.0, 0.00011, 7e-05, 0.00154, 0.0, 0.00019, 0.00013, 0.00218, 0.0, 0.00036, 0.00025, 0.00506, 0.0, 0.00227, 0.00154, 0.03849, 0.00047]\n",
      "loss: 0.001627  [  128/  391] grads: [0.0012, 0.0, 0.0001, 5e-05, 0.00098, 0.0, 8e-05, 5e-05, 0.00091, 0.0, 9e-05, 3e-05, 0.0009, 0.0, 7e-05, 3e-05, 0.00094, 0.0, 8e-05, 4e-05, 0.00101, 0.0, 7e-05, 4e-05, 0.00081, 0.0, 7e-05, 4e-05, 0.00128, 0.0, 0.00011, 7e-05, 0.00149, 0.0, 0.00013, 0.0001, 0.00215, 0.0, 0.00051, 0.00055, 0.00653, 0.0, 0.0022, 0.00148, 0.03549, 0.00071]\n",
      "loss: 0.001636  [  160/  391] grads: [0.0005, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 1e-05, 2e-05, 0.00044, 0.0, 2e-05, 2e-05, 0.00056, 0.0, 4e-05, 2e-05, 0.0006, 0.0, 3e-05, 2e-05, 0.00072, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 6e-05, 4e-05, 0.00092, 0.0, 8e-05, 5e-05, 0.00118, 0.0, 0.00015, 9e-05, 0.00211, 0.0, 0.0002, 0.00011, 0.0042, 0.0, 0.0014, 0.00268, 0.0239, 0.00391]\n",
      "loss: 0.001820  [  192/  391] grads: [0.00042, 0.0, 6e-05, 8e-05, 0.00057, 0.0, 4e-05, 6e-05, 0.00045, 0.0, 3e-05, 5e-05, 0.00058, 0.0, 3e-05, 4e-05, 0.00065, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 4e-05, 3e-05, 0.00074, 0.0, 6e-05, 4e-05, 0.00103, 0.0, 9e-05, 7e-05, 0.00118, 0.0, 0.00014, 0.00011, 0.00191, 0.0, 0.00043, 0.00041, 0.00538, 0.0, 0.0024, 0.00203, 0.03706, 0.00134]\n",
      "loss: 0.002047  [  224/  391] grads: [0.00064, 0.0, 9e-05, 8e-05, 0.00083, 0.0, 6e-05, 6e-05, 0.00058, 0.0, 4e-05, 6e-05, 0.00059, 0.0, 5e-05, 4e-05, 0.00061, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 6e-05, 4e-05, 0.00099, 0.0, 0.0001, 7e-05, 0.00137, 0.0, 0.00016, 0.00015, 0.00241, 0.0, 0.00058, 0.0006, 0.00752, 0.0, 0.00336, 0.00234, 0.0526, 0.00033]\n",
      "loss: 0.001798  [  256/  391] grads: [0.00066, 0.0, 5e-05, 3e-05, 0.00049, 0.0, 3e-05, 3e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.00084, 0.0, 7e-05, 6e-05, 0.00101, 0.0, 9e-05, 0.0001, 0.00145, 0.0, 0.00019, 0.00017, 0.00292, 0.0, 0.0022, 0.00409, 0.03796, 0.00628]\n",
      "loss: 0.004834  [  288/  391] grads: [0.0016, 0.0, 0.00019, 0.00012, 0.00164, 0.0, 0.00013, 0.0001, 0.0011, 0.0, 0.00012, 7e-05, 0.00108, 0.0, 9e-05, 4e-05, 0.0009, 0.0, 8e-05, 3e-05, 0.00094, 0.0, 6e-05, 4e-05, 0.00115, 0.0, 0.00012, 7e-05, 0.00213, 0.0, 0.00019, 0.00016, 0.00326, 0.0, 0.00045, 0.00044, 0.00604, 0.0, 0.00144, 0.00135, 0.01957, 0.0, 0.00796, 0.00997, 0.14012, 0.01547]\n",
      "loss: 0.001465  [  320/  391] grads: [0.00044, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 2e-05, 1e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 5e-05, 3e-05, 0.00088, 0.0, 6e-05, 5e-05, 0.0009, 0.0, 9e-05, 5e-05, 0.00133, 0.0, 0.0002, 0.00013, 0.00297, 0.0, 0.00117, 0.00204, 0.02033, 0.00318]\n",
      "loss: 0.003194  [  352/  391] grads: [0.00119, 0.0, 0.00013, 9e-05, 0.00138, 0.0, 9e-05, 0.0001, 0.00105, 0.0, 0.00011, 7e-05, 0.00112, 0.0, 0.0001, 5e-05, 0.00128, 0.0, 8e-05, 4e-05, 0.00121, 0.0, 7e-05, 4e-05, 0.00145, 0.0, 0.00014, 7e-05, 0.00233, 0.0, 0.00019, 0.00017, 0.00309, 0.0, 0.00043, 0.00043, 0.00537, 0.0, 0.00103, 0.00091, 0.01418, 0.0, 0.00592, 0.00914, 0.11568, 0.0158]\n",
      "loss: 0.002043  [  168/  391] grads: [0.0003, 0.0, 2e-05, 7e-05, 0.00044, 0.0, 3e-05, 5e-05, 0.00069, 0.0, 3e-05, 4e-05, 0.00075, 0.0, 5e-05, 5e-05, 0.00076, 0.0, 4e-05, 3e-05, 0.00082, 0.0, 5e-05, 3e-05, 0.0011, 0.0, 8e-05, 5e-05, 0.00125, 0.0, 9e-05, 8e-05, 0.00141, 0.0, 0.00027, 0.00019, 0.00305, 0.0, 0.00103, 0.00077, 0.01214, 0.0, 0.00389, 0.00266, 0.06916, 0.00236]\n",
      "Epoch 27\n",
      "-------------------------------\n",
      "loss: 0.001532  [    0/  391] grads: [0.0004, 0.0, 1e-05, 4e-05, 0.00028, 0.0, 1e-05, 3e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 2e-05, 1e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00071, 0.0, 6e-05, 6e-05, 0.00098, 0.0, 0.00015, 0.00013, 0.00196, 0.0, 0.00036, 0.00029, 0.00535, 0.0, 0.00258, 0.00477, 0.04894, 0.00834]\n",
      "loss: 0.001571  [   32/  391] grads: [0.00065, 0.0, 3e-05, 1e-05, 0.00045, 0.0, 2e-05, 1e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00055, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 3e-05, 2e-05, 0.00065, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 6e-05, 4e-05, 0.00105, 0.0, 7e-05, 6e-05, 0.00114, 0.0, 0.00013, 0.0001, 0.00205, 0.0, 0.0004, 0.00027, 0.00573, 0.0, 0.00249, 0.00453, 0.04608, 0.00767]\n",
      "loss: 0.002105  [   64/  391] grads: [0.00038, 0.0, 3e-05, 0.00011, 0.00052, 0.0, 2e-05, 9e-05, 0.00042, 0.0, 2e-05, 6e-05, 0.00048, 0.0, 3e-05, 5e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 4e-05, 3e-05, 0.00066, 0.0, 6e-05, 3e-05, 0.00106, 0.0, 0.0001, 7e-05, 0.0014, 0.0, 0.00022, 0.00016, 0.0027, 0.0, 0.00066, 0.00038, 0.00851, 0.0, 0.00365, 0.0049, 0.06517, 0.0067]\n",
      "loss: 0.002094  [   96/  391] grads: [0.00056, 0.0, 9e-05, 0.00012, 0.00091, 0.0, 5e-05, 9e-05, 0.00064, 0.0, 6e-05, 6e-05, 0.00063, 0.0, 5e-05, 4e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00059, 0.0, 4e-05, 3e-05, 0.00073, 0.0, 7e-05, 4e-05, 0.00114, 0.0, 0.00011, 7e-05, 0.00171, 0.0, 0.00024, 0.0002, 0.00295, 0.0, 0.00099, 0.00074, 0.01211, 0.0, 0.00462, 0.00293, 0.07917, 0.00176]\n",
      "loss: 0.001459  [  128/  391] grads: [0.00041, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 1e-05, 1e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.0006, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 4e-05, 2e-05, 0.00073, 0.0, 7e-05, 4e-05, 0.00096, 0.0, 9e-05, 4e-05, 0.00113, 0.0, 0.00012, 6e-05, 0.00166, 0.0, 0.00038, 0.00024, 0.00615, 0.0, 0.0011, 0.00058, 0.02016, 0.00056]\n",
      "loss: 0.002584  [  160/  391] grads: [0.00126, 0.0, 0.00013, 4e-05, 0.00108, 0.0, 8e-05, 6e-05, 0.00082, 0.0, 7e-05, 2e-05, 0.00086, 0.0, 7e-05, 4e-05, 0.00098, 0.0, 7e-05, 4e-05, 0.00095, 0.0, 6e-05, 4e-05, 0.00117, 0.0, 0.00011, 6e-05, 0.00168, 0.0, 0.00015, 0.00014, 0.00227, 0.0, 0.0003, 0.00031, 0.00403, 0.0, 0.00046, 0.0004, 0.00761, 0.0, 0.00353, 0.00703, 0.0595, 0.01006]\n",
      "loss: 0.002355  [  192/  391] grads: [0.00052, 0.0, 9e-05, 0.00012, 0.00092, 0.0, 5e-05, 9e-05, 0.00056, 0.0, 5e-05, 7e-05, 0.00064, 0.0, 5e-05, 6e-05, 0.0006, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 5e-05, 3e-05, 0.00086, 0.0, 7e-05, 5e-05, 0.00123, 0.0, 0.00012, 0.0001, 0.00144, 0.0, 0.00025, 0.00019, 0.00306, 0.0, 0.00082, 0.00064, 0.00895, 0.0, 0.00378, 0.0029, 0.05793, 0.00157]\n",
      "loss: 0.002789  [  224/  391] grads: [0.00131, 0.0, 0.00015, 0.0001, 0.00141, 0.0, 9e-05, 0.0001, 0.00097, 0.0, 9e-05, 7e-05, 0.00087, 0.0, 9e-05, 5e-05, 0.00072, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 9e-05, 5e-05, 0.00164, 0.0, 0.00016, 0.00012, 0.00233, 0.0, 0.00032, 0.00032, 0.00453, 0.0, 0.00136, 0.00116, 0.01627, 0.0, 0.0059, 0.00506, 0.10002, 0.00694]\n",
      "loss: 0.001906  [  256/  391] grads: [0.00102, 0.0, 4e-05, 9e-05, 0.00058, 0.0, 3e-05, 7e-05, 0.00068, 0.0, 4e-05, 6e-05, 0.0008, 0.0, 5e-05, 4e-05, 0.00087, 0.0, 5e-05, 4e-05, 0.00094, 0.0, 6e-05, 4e-05, 0.00125, 0.0, 0.00012, 6e-05, 0.00186, 0.0, 0.00012, 7e-05, 0.00189, 0.0, 0.00011, 9e-05, 0.00224, 0.0, 0.00016, 0.00013, 0.0028, 0.0, 0.00174, 0.00245, 0.02783, 0.00333]\n",
      "loss: 0.005979  [  288/  391] grads: [0.00139, 0.0, 0.00014, 6e-05, 0.00131, 0.0, 0.00011, 5e-05, 0.00098, 0.0, 0.00013, 5e-05, 0.00139, 0.0, 0.00019, 8e-05, 0.00148, 0.0, 0.0001, 5e-05, 0.00134, 0.0, 0.0001, 6e-05, 0.0017, 0.0, 0.00022, 0.00013, 0.00371, 0.0, 0.00027, 0.00018, 0.00491, 0.0, 0.00074, 0.0006, 0.01025, 0.0, 0.00251, 0.00209, 0.03077, 0.0, 0.00876, 0.0124, 0.15687, 0.01893]\n",
      "loss: 0.001640  [  320/  391] grads: [0.00044, 0.0, 3e-05, 2e-05, 0.0003, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 2e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 4e-05, 2e-05, 0.00094, 0.0, 7e-05, 4e-05, 0.00109, 0.0, 6e-05, 5e-05, 0.00105, 0.0, 0.00013, 9e-05, 0.00182, 0.0, 0.00037, 0.0002, 0.00488, 0.0, 0.00169, 0.00223, 0.02854, 0.00318]\n",
      "loss: 0.002572  [  352/  391] grads: [0.0012, 0.0, 8e-05, 7e-05, 0.001, 0.0, 5e-05, 7e-05, 0.00092, 0.0, 8e-05, 5e-05, 0.001, 0.0, 0.00013, 6e-05, 0.00116, 0.0, 7e-05, 4e-05, 0.00109, 0.0, 7e-05, 5e-05, 0.00125, 0.0, 0.00012, 7e-05, 0.0019, 0.0, 0.00018, 0.00016, 0.00293, 0.0, 0.00042, 0.0004, 0.00514, 0.0, 0.00105, 0.00087, 0.01377, 0.0, 0.00478, 0.00656, 0.08844, 0.01081]\n",
      "loss: 0.001636  [  168/  391] grads: [0.00039, 0.0, 4e-05, 4e-05, 0.0004, 0.0, 3e-05, 3e-05, 0.00029, 0.0, 3e-05, 3e-05, 0.00051, 0.0, 3e-05, 3e-05, 0.00052, 0.0, 3e-05, 2e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.0008, 0.0, 6e-05, 4e-05, 0.00108, 0.0, 8e-05, 8e-05, 0.00135, 0.0, 0.0002, 0.00015, 0.00218, 0.0, 0.0004, 0.00027, 0.0059, 0.0, 0.00137, 0.00233, 0.0256, 0.00434]\n",
      "Epoch 28\n",
      "-------------------------------\n",
      "loss: 0.002547  [    0/  391] grads: [0.00109, 0.0, 5e-05, 9e-05, 0.00053, 0.0, 4e-05, 7e-05, 0.00041, 0.0, 4e-05, 5e-05, 0.00058, 0.0, 4e-05, 4e-05, 0.00065, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 5e-05, 2e-05, 0.00083, 0.0, 7e-05, 5e-05, 0.00105, 0.0, 8e-05, 9e-05, 0.00131, 0.0, 0.00015, 0.00015, 0.00207, 0.0, 0.00025, 0.00018, 0.0034, 0.0, 0.00404, 0.00739, 0.07329, 0.01165]\n",
      "loss: 0.001566  [   32/  391] grads: [0.00016, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 1e-05, 1e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00074, 0.0, 7e-05, 6e-05, 0.00103, 0.0, 0.00015, 0.00013, 0.00188, 0.0, 0.00029, 0.00022, 0.00439, 0.0, 0.00241, 0.0046, 0.04406, 0.00773]\n",
      "loss: 0.001766  [   64/  391] grads: [0.00036, 0.0, 5e-05, 7e-05, 0.00058, 0.0, 3e-05, 5e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00055, 0.0, 3e-05, 3e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 4e-05, 3e-05, 0.00068, 0.0, 6e-05, 4e-05, 0.00107, 0.0, 9e-05, 7e-05, 0.0013, 0.0, 0.00015, 0.00011, 0.00225, 0.0, 0.00039, 0.00022, 0.0055, 0.0, 0.00272, 0.00458, 0.04842, 0.00678]\n",
      "loss: 0.001725  [   96/  391] grads: [0.00076, 0.0, 8e-05, 4e-05, 0.00062, 0.0, 5e-05, 4e-05, 0.00038, 0.0, 5e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 7e-05, 4e-05, 0.00102, 0.0, 0.00011, 7e-05, 0.00156, 0.0, 0.00019, 0.00016, 0.00263, 0.0, 0.0004, 0.00029, 0.00553, 0.0, 0.00235, 0.00248, 0.0401, 0.00375]\n",
      "loss: 0.002012  [  128/  391] grads: [0.00122, 0.0, 0.0001, 8e-05, 0.00105, 0.0, 7e-05, 6e-05, 0.00064, 0.0, 7e-05, 4e-05, 0.00061, 0.0, 6e-05, 3e-05, 0.00059, 0.0, 5e-05, 3e-05, 0.00061, 0.0, 4e-05, 4e-05, 0.00063, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 0.0001, 8e-05, 0.00156, 0.0, 0.00013, 0.00014, 0.00224, 0.0, 0.00058, 0.00061, 0.00821, 0.0, 0.00339, 0.00489, 0.05956, 0.00717]\n",
      "loss: 0.001822  [  160/  391] grads: [0.00046, 0.0, 4e-05, 5e-05, 0.00056, 0.0, 2e-05, 3e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 2e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00082, 0.0, 0.0001, 8e-05, 0.00121, 0.0, 0.00018, 0.00015, 0.0022, 0.0, 0.00048, 0.00032, 0.0051, 0.0, 0.00265, 0.00361, 0.0407, 0.0041]\n",
      "loss: 0.002147  [  192/  391] grads: [0.00115, 0.0, 0.00013, 0.0001, 0.00124, 0.0, 9e-05, 8e-05, 0.00065, 0.0, 7e-05, 6e-05, 0.00058, 0.0, 5e-05, 5e-05, 0.00065, 0.0, 4e-05, 3e-05, 0.00081, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 7e-05, 5e-05, 0.00112, 0.0, 0.00013, 9e-05, 0.00133, 0.0, 0.00017, 0.00013, 0.00234, 0.0, 0.00057, 0.00047, 0.00686, 0.0, 0.00285, 0.00222, 0.04291, 0.00122]\n",
      "loss: 0.001893  [  224/  391] grads: [0.00149, 0.0, 9e-05, 0.0001, 0.00096, 0.0, 7e-05, 9e-05, 0.00071, 0.0, 9e-05, 7e-05, 0.00079, 0.0, 0.0001, 5e-05, 0.00096, 0.0, 6e-05, 3e-05, 0.00072, 0.0, 4e-05, 3e-05, 0.00079, 0.0, 7e-05, 5e-05, 0.00121, 0.0, 0.00011, 0.0001, 0.00194, 0.0, 0.00023, 0.00026, 0.00352, 0.0, 0.00074, 0.00072, 0.00976, 0.0, 0.00358, 0.00303, 0.05659, 0.0038]\n",
      "loss: 0.001672  [  256/  391] grads: [0.0004, 0.0, 3e-05, 3e-05, 0.00044, 0.0, 2e-05, 2e-05, 0.00045, 0.0, 2e-05, 2e-05, 0.0006, 0.0, 4e-05, 2e-05, 0.00074, 0.0, 5e-05, 3e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00081, 0.0, 6e-05, 4e-05, 0.00099, 0.0, 8e-05, 5e-05, 0.00126, 0.0, 0.00022, 0.00015, 0.00255, 0.0, 0.00037, 0.0004, 0.00512, 0.0, 0.00137, 0.00174, 0.02322, 0.00276]\n",
      "loss: 0.004823  [  288/  391] grads: [0.00218, 0.0, 0.00013, 0.00011, 0.00124, 0.0, 9e-05, 0.0001, 0.00096, 0.0, 0.00013, 9e-05, 0.00123, 0.0, 0.00021, 0.0001, 0.00171, 0.0, 0.0001, 5e-05, 0.00111, 0.0, 6e-05, 4e-05, 0.00116, 0.0, 0.00011, 6e-05, 0.00202, 0.0, 0.00018, 0.00017, 0.00329, 0.0, 0.0005, 0.00043, 0.00612, 0.0, 0.00162, 0.00142, 0.01971, 0.0, 0.00803, 0.01126, 0.13399, 0.01675]\n",
      "loss: 0.001592  [  320/  391] grads: [0.00043, 0.0, 3e-05, 0.0001, 0.00057, 0.0, 3e-05, 8e-05, 0.00065, 0.0, 2e-05, 6e-05, 0.00068, 0.0, 5e-05, 4e-05, 0.00073, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 4e-05, 2e-05, 0.0008, 0.0, 8e-05, 5e-05, 0.00111, 0.0, 9e-05, 6e-05, 0.00137, 0.0, 0.00019, 0.00018, 0.00238, 0.0, 0.00066, 0.00058, 0.00744, 0.0, 0.0027, 0.00171, 0.04281, 0.00064]\n",
      "loss: 0.002975  [  352/  391] grads: [0.00145, 0.0, 8e-05, 9e-05, 0.00108, 0.0, 6e-05, 9e-05, 0.00104, 0.0, 7e-05, 6e-05, 0.00112, 0.0, 0.0001, 4e-05, 0.00115, 0.0, 7e-05, 4e-05, 0.00106, 0.0, 5e-05, 3e-05, 0.00129, 0.0, 0.00011, 6e-05, 0.00184, 0.0, 0.00019, 0.00017, 0.00297, 0.0, 0.00053, 0.00046, 0.00606, 0.0, 0.00134, 0.00103, 0.01595, 0.0, 0.00582, 0.00795, 0.10492, 0.01314]\n",
      "loss: 0.002736  [  168/  391] grads: [0.00033, 0.0, 5e-05, 2e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 4e-05, 3e-05, 0.00091, 0.0, 8e-05, 5e-05, 0.00112, 0.0, 9e-05, 7e-05, 0.00138, 0.0, 0.00029, 0.00017, 0.00304, 0.0, 0.00115, 0.00075, 0.01281, 0.0, 0.00394, 0.00267, 0.06467, 0.00154]\n",
      "Epoch 29\n",
      "-------------------------------\n",
      "loss: 0.001610  [    0/  391] grads: [0.00036, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 1e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 2e-05, 1e-05, 0.00042, 0.0, 2e-05, 2e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00103, 0.0, 0.00011, 8e-05, 0.00153, 0.0, 0.00027, 0.00017, 0.0029, 0.0, 0.00054, 0.00038, 0.00723, 0.0, 0.00195, 0.00324, 0.0353, 0.00564]\n",
      "loss: 0.001411  [   32/  391] grads: [0.00037, 0.0, 2e-05, 5e-05, 0.00039, 0.0, 2e-05, 4e-05, 0.00038, 0.0, 2e-05, 3e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 6e-05, 4e-05, 0.00093, 0.0, 8e-05, 4e-05, 0.00117, 0.0, 0.00014, 0.0001, 0.00205, 0.0, 0.00045, 0.00034, 0.00625, 0.0, 0.00175, 0.0022, 0.03363, 0.00363]\n",
      "loss: 0.004566  [   64/  391] grads: [0.00069, 0.0, 5e-05, 0.00023, 0.00095, 0.0, 4e-05, 0.00018, 0.00074, 0.0, 3e-05, 0.00012, 0.00065, 0.0, 3e-05, 8e-05, 0.00061, 0.0, 4e-05, 4e-05, 0.00064, 0.0, 4e-05, 4e-05, 0.00081, 0.0, 9e-05, 8e-05, 0.00169, 0.0, 0.00021, 0.00015, 0.00264, 0.0, 0.00048, 0.00032, 0.00562, 0.0, 0.00131, 0.0009, 0.01422, 0.0, 0.00717, 0.01052, 0.12991, 0.01522]\n",
      "loss: 0.002446  [   96/  391] grads: [0.0014, 0.0, 0.00014, 8e-05, 0.0011, 0.0, 9e-05, 7e-05, 0.00061, 0.0, 7e-05, 5e-05, 0.00067, 0.0, 6e-05, 5e-05, 0.00074, 0.0, 4e-05, 3e-05, 0.00073, 0.0, 5e-05, 3e-05, 0.00085, 0.0, 9e-05, 5e-05, 0.00145, 0.0, 0.00014, 0.0001, 0.00215, 0.0, 0.0003, 0.00023, 0.00377, 0.0, 0.00106, 0.00072, 0.01349, 0.0, 0.00473, 0.00395, 0.07972, 0.00556]\n",
      "loss: 0.001838  [  128/  391] grads: [0.00127, 0.0, 0.0001, 3e-05, 0.00103, 0.0, 6e-05, 3e-05, 0.00081, 0.0, 7e-05, 3e-05, 0.00084, 0.0, 7e-05, 3e-05, 0.00083, 0.0, 5e-05, 2e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 0.00011, 6e-05, 0.00164, 0.0, 0.00015, 9e-05, 0.00204, 0.0, 0.00023, 0.0001, 0.00314, 0.0, 0.00052, 0.00044, 0.00983, 0.0, 0.00175, 0.00167, 0.03431, 0.00172]\n",
      "loss: 0.001766  [  160/  391] grads: [0.00126, 0.0, 0.00011, 7e-05, 0.0011, 0.0, 8e-05, 6e-05, 0.00076, 0.0, 7e-05, 4e-05, 0.00076, 0.0, 8e-05, 3e-05, 0.00083, 0.0, 7e-05, 3e-05, 0.00084, 0.0, 7e-05, 4e-05, 0.00104, 0.0, 0.0001, 6e-05, 0.00168, 0.0, 0.00013, 0.0001, 0.00198, 0.0, 0.00013, 0.00014, 0.00242, 0.0, 0.00042, 0.00051, 0.00746, 0.0, 0.00265, 0.00411, 0.05241, 0.00612]\n",
      "loss: 0.002108  [  192/  391] grads: [0.0013, 0.0, 0.00016, 0.00011, 0.00134, 0.0, 0.00011, 9e-05, 0.00075, 0.0, 9e-05, 7e-05, 0.00075, 0.0, 7e-05, 6e-05, 0.00085, 0.0, 6e-05, 3e-05, 0.00096, 0.0, 6e-05, 4e-05, 0.00109, 0.0, 9e-05, 6e-05, 0.00171, 0.0, 0.00014, 0.00012, 0.00198, 0.0, 0.00018, 0.00018, 0.00261, 0.0, 0.00064, 0.00061, 0.00805, 0.0, 0.00334, 0.00426, 0.06433, 0.0067]\n",
      "loss: 0.001863  [  224/  391] grads: [0.00073, 0.0, 7e-05, 0.00011, 0.00072, 0.0, 5e-05, 8e-05, 0.0006, 0.0, 5e-05, 7e-05, 0.00069, 0.0, 5e-05, 5e-05, 0.00076, 0.0, 4e-05, 3e-05, 0.00084, 0.0, 5e-05, 4e-05, 0.00095, 0.0, 8e-05, 5e-05, 0.00144, 0.0, 0.00014, 9e-05, 0.00167, 0.0, 0.00022, 0.00017, 0.00274, 0.0, 0.00083, 0.00054, 0.00968, 0.0, 0.00329, 0.00234, 0.05567, 0.00288]\n",
      "loss: 0.002015  [  256/  391] grads: [0.00155, 0.0, 0.00013, 4e-05, 0.00112, 0.0, 0.0001, 4e-05, 0.00083, 0.0, 0.0001, 2e-05, 0.00109, 0.0, 9e-05, 4e-05, 0.00113, 0.0, 9e-05, 4e-05, 0.00131, 0.0, 9e-05, 6e-05, 0.00146, 0.0, 0.00012, 7e-05, 0.00212, 0.0, 0.00015, 0.00013, 0.00249, 0.0, 0.00017, 0.00019, 0.00271, 0.0, 0.00061, 0.00066, 0.00843, 0.0, 0.00335, 0.00518, 0.06251, 0.00755]\n",
      "loss: 0.005841  [  288/  391] grads: [0.00228, 0.0, 0.00028, 0.00018, 0.00243, 0.0, 0.0002, 0.00015, 0.00158, 0.0, 0.00018, 0.00011, 0.00157, 0.0, 0.00016, 6e-05, 0.00155, 0.0, 0.00013, 5e-05, 0.00126, 0.0, 9e-05, 5e-05, 0.0015, 0.0, 0.00013, 8e-05, 0.0027, 0.0, 0.00027, 0.00024, 0.00408, 0.0, 0.00051, 0.0005, 0.0068, 0.0, 0.00188, 0.00169, 0.02226, 0.0, 0.00942, 0.01227, 0.16768, 0.0186]\n",
      "loss: 0.001535  [  320/  391] grads: [0.00052, 0.0, 4e-05, 6e-05, 0.00053, 0.0, 2e-05, 5e-05, 0.00041, 0.0, 3e-05, 4e-05, 0.00059, 0.0, 3e-05, 3e-05, 0.00061, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 6e-05, 4e-05, 0.00113, 0.0, 8e-05, 5e-05, 0.00131, 0.0, 0.00014, 9e-05, 0.00219, 0.0, 0.00044, 0.00033, 0.00572, 0.0, 0.00168, 0.00177, 0.02785, 0.00222]\n",
      "loss: 0.003351  [  352/  391] grads: [0.00139, 0.0, 0.00014, 9e-05, 0.00152, 0.0, 9e-05, 0.0001, 0.00116, 0.0, 0.00012, 8e-05, 0.00115, 0.0, 0.00014, 6e-05, 0.00142, 0.0, 0.00011, 6e-05, 0.00132, 0.0, 9e-05, 5e-05, 0.0014, 0.0, 0.00013, 9e-05, 0.00218, 0.0, 0.00019, 0.00018, 0.00308, 0.0, 0.00042, 0.00041, 0.00532, 0.0, 0.00164, 0.00141, 0.01916, 0.0, 0.00716, 0.00855, 0.1309, 0.01336]\n",
      "loss: 0.002132  [  168/  391] grads: [0.00116, 0.0, 8e-05, 6e-05, 0.00086, 0.0, 5e-05, 6e-05, 0.00077, 0.0, 5e-05, 5e-05, 0.00082, 0.0, 6e-05, 3e-05, 0.00088, 0.0, 5e-05, 3e-05, 0.00092, 0.0, 5e-05, 3e-05, 0.001, 0.0, 8e-05, 5e-05, 0.00135, 0.0, 0.00011, 0.0001, 0.00173, 0.0, 0.00035, 0.00029, 0.00383, 0.0, 0.0011, 0.00079, 0.01242, 0.0, 0.00421, 0.00463, 0.07276, 0.00702]\n",
      "Epoch 30\n",
      "-------------------------------\n",
      "loss: 0.002002  [    0/  391] grads: [0.00056, 0.0, 6e-05, 3e-05, 0.00056, 0.0, 4e-05, 3e-05, 0.00045, 0.0, 4e-05, 1e-05, 0.00051, 0.0, 4e-05, 2e-05, 0.0006, 0.0, 4e-05, 2e-05, 0.00068, 0.0, 4e-05, 2e-05, 0.00082, 0.0, 7e-05, 4e-05, 0.00133, 0.0, 0.00013, 0.00011, 0.0019, 0.0, 0.00033, 0.00026, 0.00364, 0.0, 0.0004, 0.00027, 0.00472, 0.0, 0.00296, 0.00585, 0.05269, 0.00932]\n",
      "loss: 0.001729  [   32/  391] grads: [0.00092, 0.0, 5e-05, 9e-05, 0.00064, 0.0, 3e-05, 6e-05, 0.00049, 0.0, 3e-05, 5e-05, 0.00059, 0.0, 5e-05, 4e-05, 0.0006, 0.0, 4e-05, 2e-05, 0.0006, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 7e-05, 5e-05, 0.00121, 0.0, 0.00011, 9e-05, 0.0017, 0.0, 0.00025, 0.00019, 0.00353, 0.0, 0.00079, 0.00068, 0.00923, 0.0, 0.00347, 0.00429, 0.06002, 0.00609]\n",
      "loss: 0.001747  [   64/  391] grads: [0.00025, 0.0, 1e-05, 4e-05, 0.00026, 0.0, 1e-05, 3e-05, 0.00023, 0.0, 1e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00037, 0.0, 2e-05, 2e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00081, 0.0, 0.0001, 5e-05, 0.00132, 0.0, 0.00023, 0.00011, 0.00277, 0.0, 0.00057, 0.00038, 0.00696, 0.0, 0.00304, 0.00481, 0.05257, 0.00724]\n",
      "loss: 0.002353  [   96/  391] grads: [0.00085, 0.0, 0.0001, 9e-05, 0.00097, 0.0, 9e-05, 0.00011, 0.00079, 0.0, 8e-05, 9e-05, 0.00083, 0.0, 8e-05, 6e-05, 0.00085, 0.0, 6e-05, 4e-05, 0.00089, 0.0, 5e-05, 4e-05, 0.00095, 0.0, 8e-05, 5e-05, 0.00165, 0.0, 0.00016, 0.0001, 0.00237, 0.0, 0.00034, 0.0003, 0.00422, 0.0, 0.00148, 0.00103, 0.0155, 0.0, 0.00593, 0.00383, 0.09819, 0.00243]\n",
      "loss: 0.001513  [  128/  391] grads: [0.00126, 0.0, 7e-05, 2e-05, 0.00079, 0.0, 5e-05, 2e-05, 0.00061, 0.0, 6e-05, 2e-05, 0.00061, 0.0, 6e-05, 2e-05, 0.00066, 0.0, 5e-05, 2e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.00072, 0.0, 8e-05, 4e-05, 0.00116, 0.0, 0.00013, 6e-05, 0.00166, 0.0, 0.00017, 9e-05, 0.00247, 0.0, 0.00049, 0.0005, 0.00729, 0.0, 0.00187, 0.00205, 0.03057, 0.00256]\n",
      "loss: 0.002071  [  160/  391] grads: [0.00104, 0.0, 4e-05, 7e-05, 0.00054, 0.0, 3e-05, 5e-05, 0.00043, 0.0, 3e-05, 3e-05, 0.00048, 0.0, 3e-05, 3e-05, 0.00071, 0.0, 5e-05, 4e-05, 0.00068, 0.0, 4e-05, 3e-05, 0.0009, 0.0, 8e-05, 6e-05, 0.00101, 0.0, 0.00011, 0.0001, 0.00142, 0.0, 0.00023, 0.00022, 0.00271, 0.0, 0.00057, 0.00042, 0.00543, 0.0, 0.00281, 0.0037, 0.04259, 0.00438]\n",
      "loss: 0.001736  [  192/  391] grads: [0.00082, 0.0, 0.0001, 8e-05, 0.00095, 0.0, 7e-05, 7e-05, 0.00056, 0.0, 7e-05, 6e-05, 0.00065, 0.0, 7e-05, 5e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.00063, 0.0, 4e-05, 3e-05, 0.00066, 0.0, 6e-05, 4e-05, 0.00097, 0.0, 8e-05, 6e-05, 0.00126, 0.0, 0.00014, 0.0001, 0.00207, 0.0, 0.00041, 0.00055, 0.00656, 0.0, 0.0022, 0.00143, 0.03351, 0.00069]\n",
      "loss: 0.001901  [  224/  391] grads: [0.00066, 0.0, 0.0001, 0.0001, 0.0009, 0.0, 8e-05, 8e-05, 0.00066, 0.0, 7e-05, 7e-05, 0.00075, 0.0, 6e-05, 5e-05, 0.00072, 0.0, 5e-05, 4e-05, 0.00086, 0.0, 5e-05, 3e-05, 0.00084, 0.0, 6e-05, 4e-05, 0.00119, 0.0, 0.0001, 9e-05, 0.00153, 0.0, 0.00018, 0.00018, 0.00245, 0.0, 0.00058, 0.00058, 0.00737, 0.0, 0.00298, 0.00247, 0.04797, 0.003]\n",
      "loss: 0.001509  [  256/  391] grads: [0.00061, 0.0, 3e-05, 2e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 3e-05, 2e-05, 0.00069, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.0009, 0.0, 7e-05, 4e-05, 0.001, 0.0, 0.00012, 9e-05, 0.00178, 0.0, 0.00027, 0.00014, 0.00419, 0.0, 0.00134, 0.0012, 0.02156, 0.00165]\n",
      "loss: 0.006755  [  288/  391] grads: [0.00266, 0.0, 0.00028, 0.00011, 0.00233, 0.0, 0.00021, 8e-05, 0.00151, 0.0, 0.00018, 6e-05, 0.00139, 0.0, 0.00013, 5e-05, 0.00156, 0.0, 0.00012, 6e-05, 0.00168, 0.0, 0.00011, 8e-05, 0.00196, 0.0, 0.00019, 0.00013, 0.00279, 0.0, 0.0003, 0.00023, 0.00417, 0.0, 0.0006, 0.00058, 0.00762, 0.0, 0.00185, 0.00183, 0.02253, 0.0, 0.00893, 0.01497, 0.14856, 0.02243]\n",
      "loss: 0.001664  [  320/  391] grads: [0.00018, 0.0, 1e-05, 1e-05, 0.0002, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00037, 0.0, 2e-05, 1e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 4e-05, 3e-05, 0.00073, 0.0, 5e-05, 4e-05, 0.00079, 0.0, 9e-05, 5e-05, 0.00124, 0.0, 0.00019, 0.00012, 0.00294, 0.0, 0.00181, 0.00311, 0.03057, 0.00486]\n",
      "loss: 0.002712  [  352/  391] grads: [0.00179, 0.0, 8e-05, 6e-05, 0.00101, 0.0, 5e-05, 8e-05, 0.00098, 0.0, 0.00011, 6e-05, 0.00103, 0.0, 9e-05, 5e-05, 0.00126, 0.0, 8e-05, 5e-05, 0.00124, 0.0, 9e-05, 5e-05, 0.00142, 0.0, 0.00014, 8e-05, 0.00208, 0.0, 0.00016, 0.00013, 0.0024, 0.0, 0.00039, 0.00035, 0.00475, 0.0, 0.00143, 0.00118, 0.01605, 0.0, 0.00534, 0.00698, 0.09329, 0.01087]\n",
      "loss: 0.001461  [  168/  391] grads: [0.00032, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 1e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 2e-05, 2e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 4e-05, 2e-05, 0.00076, 0.0, 6e-05, 4e-05, 0.00094, 0.0, 9e-05, 7e-05, 0.00127, 0.0, 0.00025, 0.00019, 0.00252, 0.0, 0.00074, 0.00051, 0.0081, 0.0, 0.00248, 0.00303, 0.04386, 0.00482]\n",
      "Epoch 31\n",
      "-------------------------------\n",
      "loss: 0.001417  [    0/  391] grads: [0.0005, 0.0, 2e-05, 1e-05, 0.00044, 0.0, 2e-05, 2e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00056, 0.0, 4e-05, 2e-05, 0.0006, 0.0, 3e-05, 3e-05, 0.00065, 0.0, 4e-05, 3e-05, 0.00079, 0.0, 6e-05, 4e-05, 0.0011, 0.0, 0.00011, 8e-05, 0.00137, 0.0, 0.00024, 0.00019, 0.00259, 0.0, 0.00048, 0.00036, 0.00614, 0.0, 0.0022, 0.00429, 0.03925, 0.0074]\n",
      "loss: 0.001642  [   32/  391] grads: [0.00079, 0.0, 5e-05, 5e-05, 0.00062, 0.0, 3e-05, 3e-05, 0.00056, 0.0, 6e-05, 3e-05, 0.00064, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 4e-05, 2e-05, 0.00073, 0.0, 5e-05, 4e-05, 0.00085, 0.0, 7e-05, 5e-05, 0.00134, 0.0, 0.00012, 8e-05, 0.00157, 0.0, 0.00022, 0.00014, 0.00263, 0.0, 0.00059, 0.00048, 0.00752, 0.0, 0.00249, 0.00331, 0.04506, 0.00534]\n",
      "loss: 0.002724  [   64/  391] grads: [0.00036, 0.0, 3e-05, 8e-05, 0.00044, 0.0, 1e-05, 7e-05, 0.00034, 0.0, 3e-05, 5e-05, 0.0004, 0.0, 4e-05, 3e-05, 0.00049, 0.0, 2e-05, 2e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00073, 0.0, 7e-05, 4e-05, 0.00138, 0.0, 0.00017, 9e-05, 0.00197, 0.0, 0.00035, 0.00021, 0.00405, 0.0, 0.00102, 0.00053, 0.01097, 0.0, 0.00464, 0.00729, 0.08428, 0.01092]\n",
      "loss: 0.001901  [   96/  391] grads: [0.00086, 0.0, 8e-05, 2e-05, 0.00062, 0.0, 5e-05, 2e-05, 0.00039, 0.0, 3e-05, 1e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00067, 0.0, 4e-05, 2e-05, 0.00077, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 7e-05, 5e-05, 0.00132, 0.0, 0.00012, 9e-05, 0.00147, 0.0, 0.00021, 0.00019, 0.00219, 0.0, 0.00068, 0.00051, 0.00722, 0.0, 0.00294, 0.00341, 0.05007, 0.00489]\n",
      "loss: 0.001373  [  128/  391] grads: [0.00124, 0.0, 8e-05, 6e-05, 0.0008, 0.0, 5e-05, 4e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00065, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 0.00012, 6e-05, 0.00146, 0.0, 0.00015, 7e-05, 0.00208, 0.0, 0.00034, 0.00039, 0.00529, 0.0, 0.00142, 0.00118, 0.02297, 0.00125]\n",
      "loss: 0.001575  [  160/  391] grads: [0.0004, 0.0, 4e-05, 4e-05, 0.0004, 0.0, 2e-05, 3e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 3e-05, 3e-05, 0.00059, 0.0, 6e-05, 4e-05, 0.00083, 0.0, 7e-05, 5e-05, 0.00096, 0.0, 0.00015, 0.00012, 0.00194, 0.0, 0.00041, 0.00027, 0.00449, 0.0, 0.00178, 0.00253, 0.02783, 0.00335]\n",
      "loss: 0.001529  [  192/  391] grads: [0.00038, 0.0, 9e-05, 0.0001, 0.00088, 0.0, 7e-05, 7e-05, 0.00048, 0.0, 6e-05, 5e-05, 0.00051, 0.0, 5e-05, 4e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.00068, 0.0, 6e-05, 4e-05, 0.00086, 0.0, 6e-05, 5e-05, 0.001, 0.0, 0.00012, 6e-05, 0.00169, 0.0, 0.00037, 0.0003, 0.00552, 0.0, 0.00138, 0.00086, 0.02245, 0.00068]\n",
      "loss: 0.002250  [  224/  391] grads: [0.00057, 0.0, 9e-05, 0.00011, 0.00094, 0.0, 6e-05, 8e-05, 0.00065, 0.0, 6e-05, 7e-05, 0.00074, 0.0, 7e-05, 6e-05, 0.0008, 0.0, 5e-05, 4e-05, 0.00084, 0.0, 6e-05, 4e-05, 0.00092, 0.0, 7e-05, 5e-05, 0.00131, 0.0, 0.00012, 0.0001, 0.00178, 0.0, 0.00028, 0.00021, 0.00298, 0.0, 0.00106, 0.00087, 0.01077, 0.0, 0.00445, 0.00297, 0.07054, 0.00229]\n",
      "loss: 0.001804  [  256/  391] grads: [0.00084, 0.0, 6e-05, 4e-05, 0.00054, 0.0, 3e-05, 3e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.0006, 0.0, 4e-05, 3e-05, 0.00059, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 6e-05, 4e-05, 0.001, 0.0, 0.00011, 6e-05, 0.00113, 0.0, 0.00013, 8e-05, 0.00186, 0.0, 0.00031, 0.00013, 0.00381, 0.0, 0.00202, 0.00313, 0.03268, 0.00449]\n",
      "loss: 0.003948  [  288/  391] grads: [0.00059, 0.0, 0.0001, 6e-05, 0.00084, 0.0, 6e-05, 5e-05, 0.00043, 0.0, 5e-05, 4e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 3e-05, 2e-05, 0.00072, 0.0, 6e-05, 4e-05, 0.00128, 0.0, 0.00014, 0.0001, 0.00243, 0.0, 0.00054, 0.00038, 0.00558, 0.0, 0.00209, 0.00148, 0.02221, 0.0, 0.00731, 0.00637, 0.12302, 0.00867]\n",
      "loss: 0.001402  [  320/  391] grads: [0.00088, 0.0, 5e-05, 4e-05, 0.00065, 0.0, 3e-05, 4e-05, 0.00064, 0.0, 6e-05, 3e-05, 0.00066, 0.0, 5e-05, 2e-05, 0.00067, 0.0, 4e-05, 2e-05, 0.00074, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.0012, 0.0, 0.0001, 7e-05, 0.00127, 0.0, 0.00013, 0.0001, 0.00204, 0.0, 0.00048, 0.00032, 0.00555, 0.0, 0.00178, 0.00106, 0.03088, 0.0001]\n",
      "loss: 0.002279  [  352/  391] grads: [0.00085, 0.0, 0.0001, 3e-05, 0.00091, 0.0, 6e-05, 5e-05, 0.00068, 0.0, 7e-05, 2e-05, 0.00066, 0.0, 6e-05, 2e-05, 0.00075, 0.0, 6e-05, 3e-05, 0.00075, 0.0, 4e-05, 2e-05, 0.00081, 0.0, 7e-05, 5e-05, 0.0013, 0.0, 0.00013, 0.00012, 0.00188, 0.0, 0.00031, 0.00029, 0.00338, 0.0, 0.0006, 0.00049, 0.00708, 0.0, 0.00431, 0.00744, 0.08051, 0.01257]\n",
      "loss: 0.001923  [  168/  391] grads: [0.00053, 0.0, 0.0001, 3e-05, 0.00089, 0.0, 6e-05, 4e-05, 0.0007, 0.0, 7e-05, 3e-05, 0.00066, 0.0, 8e-05, 3e-05, 0.00078, 0.0, 6e-05, 3e-05, 0.00079, 0.0, 4e-05, 3e-05, 0.00093, 0.0, 7e-05, 5e-05, 0.00129, 0.0, 0.00011, 0.00011, 0.00176, 0.0, 0.00033, 0.0003, 0.00342, 0.0, 0.0007, 0.00055, 0.00792, 0.0, 0.00398, 0.00683, 0.07331, 0.01164]\n",
      "Epoch 32\n",
      "-------------------------------\n",
      "loss: 0.001423  [    0/  391] grads: [0.00028, 0.0, 5e-05, 2e-05, 0.00044, 0.0, 3e-05, 3e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00062, 0.0, 5e-05, 4e-05, 0.00094, 0.0, 9e-05, 7e-05, 0.00123, 0.0, 0.00024, 0.0002, 0.00245, 0.0, 0.00046, 0.00034, 0.00541, 0.0, 0.00261, 0.00465, 0.0472, 0.00802]\n",
      "loss: 0.001679  [   32/  391] grads: [0.00066, 0.0, 3e-05, 3e-05, 0.00042, 0.0, 2e-05, 2e-05, 0.00049, 0.0, 3e-05, 1e-05, 0.00064, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 4e-05, 3e-05, 0.00085, 0.0, 8e-05, 5e-05, 0.00122, 0.0, 0.00012, 7e-05, 0.00151, 0.0, 0.00029, 0.00018, 0.00276, 0.0, 0.00048, 0.0003, 0.00702, 0.0, 0.00216, 0.00406, 0.03795, 0.00713]\n",
      "loss: 0.001683  [   64/  391] grads: [0.00049, 0.0, 2e-05, 4e-05, 0.00025, 0.0, 1e-05, 4e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00037, 0.0, 3e-05, 3e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 2e-05, 2e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 8e-05, 5e-05, 0.0009, 0.0, 0.00013, 9e-05, 0.00153, 0.0, 0.00029, 0.00016, 0.00377, 0.0, 0.00262, 0.00481, 0.04523, 0.00776]\n",
      "loss: 0.002209  [   96/  391] grads: [0.00131, 0.0, 0.00013, 9e-05, 0.00116, 0.0, 9e-05, 7e-05, 0.00074, 0.0, 7e-05, 5e-05, 0.00082, 0.0, 7e-05, 5e-05, 0.0008, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 5e-05, 4e-05, 0.00096, 0.0, 8e-05, 5e-05, 0.00151, 0.0, 0.00012, 0.0001, 0.00181, 0.0, 0.00022, 0.00021, 0.00268, 0.0, 0.00077, 0.00065, 0.00899, 0.0, 0.00428, 0.00377, 0.07108, 0.00503]\n",
      "loss: 0.001499  [  128/  391] grads: [0.00108, 0.0, 6e-05, 2e-05, 0.00059, 0.0, 5e-05, 1e-05, 0.00042, 0.0, 5e-05, 1e-05, 0.00049, 0.0, 5e-05, 1e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00101, 0.0, 0.00012, 5e-05, 0.00144, 0.0, 0.00016, 9e-05, 0.00225, 0.0, 0.00042, 0.00045, 0.00677, 0.0, 0.00144, 0.00169, 0.0235, 0.00197]\n",
      "loss: 0.001212  [  160/  391] grads: [0.00081, 0.0, 5e-05, 3e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 5e-05, 4e-05, 0.00085, 0.0, 6e-05, 5e-05, 0.00098, 0.0, 6e-05, 6e-05, 0.00119, 0.0, 0.00023, 0.00023, 0.00366, 0.0, 0.00099, 0.00128, 0.01822, 0.00173]\n",
      "loss: 0.002445  [  192/  391] grads: [0.00071, 0.0, 2e-05, 0.00014, 0.00056, 0.0, 2e-05, 0.0001, 0.00052, 0.0, 2e-05, 5e-05, 0.0006, 0.0, 4e-05, 4e-05, 0.00053, 0.0, 4e-05, 4e-05, 0.00062, 0.0, 4e-05, 3e-05, 0.00083, 0.0, 8e-05, 6e-05, 0.00113, 0.0, 0.00011, 0.00012, 0.00142, 0.0, 0.00026, 0.00023, 0.00283, 0.0, 0.00054, 0.00039, 0.00562, 0.0, 0.0027, 0.00435, 0.04085, 0.00569]\n",
      "loss: 0.002477  [  224/  391] grads: [0.00047, 0.0, 8e-05, 8e-05, 0.00082, 0.0, 4e-05, 6e-05, 0.00062, 0.0, 3e-05, 4e-05, 0.00063, 0.0, 4e-05, 3e-05, 0.00054, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00068, 0.0, 6e-05, 4e-05, 0.00108, 0.0, 0.00011, 8e-05, 0.00137, 0.0, 0.00025, 0.00017, 0.00264, 0.0, 0.00104, 0.00083, 0.00996, 0.0, 0.00442, 0.00295, 0.06643, 0.00016]\n",
      "loss: 0.001914  [  256/  391] grads: [0.00064, 0.0, 2e-05, 3e-05, 0.00033, 0.0, 2e-05, 3e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00042, 0.0, 4e-05, 3e-05, 0.00051, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 5e-05, 4e-05, 0.00096, 0.0, 9e-05, 7e-05, 0.00101, 0.0, 0.00011, 8e-05, 0.00147, 0.0, 0.00029, 0.00015, 0.00338, 0.0, 0.00225, 0.00409, 0.03582, 0.00609]\n",
      "loss: 0.004298  [  288/  391] grads: [0.00074, 0.0, 7e-05, 0.0001, 0.0008, 0.0, 3e-05, 8e-05, 0.00068, 0.0, 6e-05, 6e-05, 0.00066, 0.0, 8e-05, 4e-05, 0.0007, 0.0, 5e-05, 3e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 8e-05, 5e-05, 0.00152, 0.0, 0.00014, 0.00011, 0.00246, 0.0, 0.00052, 0.00039, 0.00544, 0.0, 0.00182, 0.0014, 0.01951, 0.0, 0.00755, 0.00909, 0.12273, 0.01383]\n",
      "loss: 0.001298  [  320/  391] grads: [0.00033, 0.0, 3e-05, 5e-05, 0.0004, 0.0, 2e-05, 3e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00076, 0.0, 6e-05, 4e-05, 0.00083, 0.0, 0.00014, 6e-05, 0.00137, 0.0, 0.00021, 0.00017, 0.00303, 0.0, 0.00089, 0.00158, 0.01409, 0.00257]\n",
      "loss: 0.002891  [  352/  391] grads: [0.00136, 0.0, 0.00014, 5e-05, 0.00125, 0.0, 8e-05, 6e-05, 0.00095, 0.0, 0.00011, 4e-05, 0.0009, 0.0, 0.0001, 4e-05, 0.00098, 0.0, 8e-05, 4e-05, 0.00097, 0.0, 6e-05, 4e-05, 0.00102, 0.0, 0.0001, 7e-05, 0.00171, 0.0, 0.00015, 0.00013, 0.00277, 0.0, 0.00056, 0.00045, 0.00625, 0.0, 0.00184, 0.00138, 0.01909, 0.0, 0.00624, 0.00772, 0.10634, 0.0122]\n",
      "loss: 0.001756  [  168/  391] grads: [0.00058, 0.0, 3e-05, 3e-05, 0.0004, 0.0, 2e-05, 3e-05, 0.00048, 0.0, 3e-05, 3e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.00069, 0.0, 4e-05, 3e-05, 0.00082, 0.0, 7e-05, 5e-05, 0.0013, 0.0, 0.00013, 0.00011, 0.00184, 0.0, 0.00044, 0.00031, 0.00419, 0.0, 0.00094, 0.0006, 0.01031, 0.0, 0.00291, 0.00461, 0.05035, 0.00766]\n",
      "Epoch 33\n",
      "-------------------------------\n",
      "loss: 0.001208  [    0/  391] grads: [0.00047, 0.0, 5e-05, 2e-05, 0.00043, 0.0, 4e-05, 1e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00039, 0.0, 3e-05, 1e-05, 0.00041, 0.0, 3e-05, 1e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 5e-05, 3e-05, 0.0009, 0.0, 8e-05, 4e-05, 0.00109, 0.0, 0.00021, 0.0001, 0.00213, 0.0, 0.00046, 0.00026, 0.00619, 0.0, 0.00095, 0.00077, 0.016, 0.00131]\n",
      "loss: 0.001275  [   32/  391] grads: [0.00056, 0.0, 4e-05, 3e-05, 0.00041, 0.0, 2e-05, 3e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00067, 0.0, 6e-05, 4e-05, 0.00105, 0.0, 9e-05, 5e-05, 0.00131, 0.0, 0.00019, 0.00012, 0.00214, 0.0, 0.00068, 0.00061, 0.00766, 0.0, 0.00194, 0.00161, 0.03178, 0.00195]\n",
      "loss: 0.002058  [   64/  391] grads: [0.00071, 0.0, 3e-05, 6e-05, 0.00034, 0.0, 3e-05, 6e-05, 0.00045, 0.0, 2e-05, 4e-05, 0.00046, 0.0, 4e-05, 4e-05, 0.00051, 0.0, 2e-05, 2e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 5e-05, 4e-05, 0.00115, 0.0, 0.00013, 7e-05, 0.00152, 0.0, 0.00027, 0.00016, 0.00325, 0.0, 0.00097, 0.00057, 0.00972, 0.0, 0.00367, 0.005, 0.06147, 0.00717]\n",
      "loss: 0.001795  [   96/  391] grads: [0.00057, 0.0, 1e-05, 5e-05, 0.00025, 0.0, 1e-05, 4e-05, 0.00032, 0.0, 1e-05, 3e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00082, 0.0, 0.0001, 7e-05, 0.00127, 0.0, 0.00024, 0.00016, 0.00262, 0.0, 0.00095, 0.00063, 0.00916, 0.0, 0.00313, 0.00207, 0.0512, 3e-05]\n",
      "loss: 0.001530  [  128/  391] grads: [0.0007, 0.0, 5e-05, 1e-05, 0.00043, 0.0, 4e-05, 1e-05, 0.00035, 0.0, 4e-05, 1e-05, 0.00039, 0.0, 5e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 7e-05, 5e-05, 0.00113, 0.0, 0.00013, 8e-05, 0.00173, 0.0, 0.00036, 0.00026, 0.00594, 0.0, 0.00195, 0.00315, 0.03471, 0.00442]\n",
      "loss: 0.001677  [  160/  391] grads: [0.00085, 0.0, 8e-05, 2e-05, 0.00069, 0.0, 6e-05, 2e-05, 0.00056, 0.0, 5e-05, 1e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 4e-05, 2e-05, 0.00061, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 6e-05, 3e-05, 0.00112, 0.0, 0.00011, 7e-05, 0.00151, 0.0, 0.0002, 0.00015, 0.00248, 0.0, 0.00024, 0.00025, 0.00392, 0.0, 0.00228, 0.00433, 0.03897, 0.00649]\n",
      "loss: 0.001654  [  192/  391] grads: [0.00047, 0.0, 6e-05, 6e-05, 0.00051, 0.0, 4e-05, 4e-05, 0.00033, 0.0, 3e-05, 3e-05, 0.00033, 0.0, 4e-05, 3e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 5e-05, 4e-05, 0.00079, 0.0, 8e-05, 7e-05, 0.0011, 0.0, 0.00014, 0.00011, 0.00192, 0.0, 0.00073, 0.00057, 0.00742, 0.0, 0.00301, 0.00192, 0.04801, 0.00097]\n",
      "loss: 0.001912  [  224/  391] grads: [0.00073, 0.0, 7e-05, 0.00012, 0.00079, 0.0, 5e-05, 0.0001, 0.00067, 0.0, 7e-05, 8e-05, 0.00065, 0.0, 9e-05, 6e-05, 0.00083, 0.0, 6e-05, 3e-05, 0.00081, 0.0, 5e-05, 3e-05, 0.00092, 0.0, 8e-05, 5e-05, 0.00137, 0.0, 0.00014, 0.00012, 0.00204, 0.0, 0.0002, 0.00021, 0.00288, 0.0, 0.00078, 0.00072, 0.00924, 0.0, 0.00394, 0.00435, 0.0688, 0.00643]\n",
      "loss: 0.001688  [  256/  391] grads: [0.00042, 0.0, 5e-05, 2e-05, 0.00043, 0.0, 3e-05, 1e-05, 0.00046, 0.0, 2e-05, 1e-05, 0.00055, 0.0, 4e-05, 2e-05, 0.00061, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 6e-05, 4e-05, 0.00097, 0.0, 7e-05, 4e-05, 0.00103, 0.0, 7e-05, 6e-05, 0.00105, 0.0, 0.00031, 0.0002, 0.00368, 0.0, 0.00209, 0.00232, 0.03079, 0.00319]\n",
      "loss: 0.006957  [  288/  391] grads: [0.00317, 0.0, 0.00016, 0.00023, 0.00176, 0.0, 9e-05, 0.00019, 0.00153, 0.0, 0.00014, 0.00015, 0.00141, 0.0, 0.00019, 0.00011, 0.00152, 0.0, 0.00011, 5e-05, 0.00128, 0.0, 9e-05, 6e-05, 0.0014, 0.0, 0.00015, 0.0001, 0.00272, 0.0, 0.00028, 0.00022, 0.00428, 0.0, 0.00065, 0.00056, 0.00729, 0.0, 0.00238, 0.00205, 0.02509, 0.0, 0.01168, 0.01335, 0.19171, 0.01979]\n",
      "loss: 0.001197  [  320/  391] grads: [0.00087, 0.0, 8e-05, 8e-05, 0.00081, 0.0, 4e-05, 6e-05, 0.0006, 0.0, 5e-05, 4e-05, 0.00063, 0.0, 6e-05, 3e-05, 0.00062, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 6e-05, 4e-05, 0.00109, 0.0, 8e-05, 5e-05, 0.00115, 0.0, 0.00012, 7e-05, 0.00159, 0.0, 0.00045, 0.00041, 0.00484, 0.0, 0.00185, 0.00135, 0.03125, 0.00131]\n",
      "loss: 0.002836  [  352/  391] grads: [0.00193, 0.0, 0.00016, 8e-05, 0.0015, 0.0, 0.0001, 7e-05, 0.0011, 0.0, 0.00011, 5e-05, 0.001, 0.0, 9e-05, 5e-05, 0.00097, 0.0, 7e-05, 4e-05, 0.00108, 0.0, 8e-05, 5e-05, 0.00127, 0.0, 0.00011, 8e-05, 0.0021, 0.0, 0.00017, 0.00013, 0.00266, 0.0, 0.00039, 0.00033, 0.00438, 0.0, 0.00146, 0.00122, 0.01541, 0.0, 0.0065, 0.00713, 0.11143, 0.01128]\n",
      "loss: 0.001705  [  168/  391] grads: [0.00035, 0.0, 4e-05, 2e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 1e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 8e-05, 5e-05, 0.00122, 0.0, 0.0003, 0.00019, 0.00272, 0.0, 0.00084, 0.00054, 0.00895, 0.0, 0.00314, 0.00266, 0.05147, 0.00378]\n",
      "Epoch 34\n",
      "-------------------------------\n",
      "loss: 0.001505  [    0/  391] grads: [0.00049, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 1e-05, 1e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 2e-05, 2e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00077, 0.0, 8e-05, 6e-05, 0.00121, 0.0, 0.00029, 0.00019, 0.00263, 0.0, 0.00059, 0.00037, 0.00692, 0.0, 0.00255, 0.00438, 0.04465, 0.00765]\n",
      "loss: 0.001632  [   32/  391] grads: [0.00033, 0.0, 2e-05, 3e-05, 0.00027, 0.0, 1e-05, 2e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 2e-05, 1e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00074, 0.0, 6e-05, 6e-05, 0.00095, 0.0, 0.00022, 0.00015, 0.00206, 0.0, 0.00034, 0.00023, 0.00461, 0.0, 0.00281, 0.00535, 0.0471, 0.00881]\n",
      "loss: 0.003463  [   64/  391] grads: [0.00023, 0.0, 5e-05, 0.00018, 0.00074, 0.0, 2e-05, 0.00014, 0.00047, 0.0, 2e-05, 9e-05, 0.00045, 0.0, 3e-05, 7e-05, 0.00047, 0.0, 3e-05, 4e-05, 0.00054, 0.0, 4e-05, 3e-05, 0.00065, 0.0, 8e-05, 7e-05, 0.00113, 0.0, 0.00013, 0.00011, 0.0015, 0.0, 0.00024, 0.0002, 0.00275, 0.0, 0.00071, 0.00047, 0.00671, 0.0, 0.00579, 0.00971, 0.09796, 0.01434]\n",
      "loss: 0.001574  [   96/  391] grads: [0.00069, 0.0, 7e-05, 0.0001, 0.00069, 0.0, 4e-05, 7e-05, 0.00046, 0.0, 4e-05, 5e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 9e-05, 6e-05, 0.00113, 0.0, 0.00015, 0.00012, 0.00174, 0.0, 0.00068, 0.00048, 0.00705, 0.0, 0.00335, 0.00262, 0.0538, 0.0016]\n",
      "loss: 0.001513  [  128/  391] grads: [0.00099, 0.0, 8e-05, 2e-05, 0.00068, 0.0, 6e-05, 2e-05, 0.00046, 0.0, 6e-05, 2e-05, 0.00043, 0.0, 7e-05, 2e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 7e-05, 4e-05, 0.00091, 0.0, 0.0001, 5e-05, 0.00131, 0.0, 0.00018, 8e-05, 0.00244, 0.0, 0.00046, 0.00037, 0.00778, 0.0, 0.00196, 0.00281, 0.03535, 0.00358]\n",
      "loss: 0.001275  [  160/  391] grads: [0.00055, 0.0, 3e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00084, 0.0, 7e-05, 4e-05, 0.00087, 0.0, 0.0001, 7e-05, 0.00129, 0.0, 0.0004, 0.00028, 0.00358, 0.0, 0.0018, 0.00216, 0.02647, 0.00255]\n",
      "loss: 0.001649  [  192/  391] grads: [0.00069, 0.0, 9e-05, 6e-05, 0.00078, 0.0, 6e-05, 5e-05, 0.00044, 0.0, 5e-05, 4e-05, 0.00046, 0.0, 6e-05, 4e-05, 0.00051, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00055, 0.0, 5e-05, 4e-05, 0.00088, 0.0, 8e-05, 6e-05, 0.00112, 0.0, 0.00012, 0.00012, 0.00184, 0.0, 0.00064, 0.0006, 0.00672, 0.0, 0.00326, 0.00209, 0.04699, 0.00016]\n",
      "loss: 0.002260  [  224/  391] grads: [0.00051, 0.0, 8e-05, 2e-05, 0.00061, 0.0, 6e-05, 2e-05, 0.00038, 0.0, 5e-05, 2e-05, 0.00034, 0.0, 4e-05, 2e-05, 0.00042, 0.0, 4e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 8e-05, 5e-05, 0.00117, 0.0, 0.00018, 0.00014, 0.00226, 0.0, 0.00094, 0.00074, 0.00915, 0.0, 0.00401, 0.00258, 0.05808, 0.00058]\n",
      "loss: 0.001457  [  256/  391] grads: [0.00022, 0.0, 1e-05, 1e-05, 0.00022, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 4e-05, 3e-05, 0.00077, 0.0, 7e-05, 4e-05, 0.00089, 0.0, 8e-05, 7e-05, 0.00133, 0.0, 0.00035, 0.00028, 0.0049, 0.0, 0.00144, 0.00197, 0.02249, 0.00312]\n",
      "loss: 0.005986  [  288/  391] grads: [0.00148, 0.0, 0.00015, 3e-05, 0.00126, 0.0, 0.0001, 3e-05, 0.00084, 0.0, 0.0001, 2e-05, 0.00079, 0.0, 0.00013, 4e-05, 0.00096, 0.0, 8e-05, 3e-05, 0.00086, 0.0, 5e-05, 3e-05, 0.00098, 0.0, 9e-05, 7e-05, 0.00191, 0.0, 0.00018, 0.00016, 0.0035, 0.0, 0.00062, 0.00051, 0.00709, 0.0, 0.00247, 0.002, 0.02482, 0.0, 0.00898, 0.01373, 0.14621, 0.02022]\n",
      "loss: 0.001458  [  320/  391] grads: [0.00014, 0.0, 2e-05, 2e-05, 0.0002, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 3e-05, 3e-05, 0.00046, 0.0, 2e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 5e-05, 3e-05, 0.00085, 0.0, 6e-05, 4e-05, 0.00091, 0.0, 0.0001, 6e-05, 0.00136, 0.0, 0.0003, 0.00019, 0.00398, 0.0, 0.00155, 0.00223, 0.0253, 0.0034]\n",
      "loss: 0.003982  [  352/  391] grads: [0.00258, 0.0, 0.00012, 9e-05, 0.0013, 0.0, 8e-05, 8e-05, 0.00108, 0.0, 0.00011, 7e-05, 0.00122, 0.0, 0.00014, 8e-05, 0.0014, 0.0, 9e-05, 5e-05, 0.00127, 0.0, 8e-05, 4e-05, 0.00142, 0.0, 0.00014, 9e-05, 0.00234, 0.0, 0.00024, 0.00023, 0.00344, 0.0, 0.00061, 0.00052, 0.00602, 0.0, 0.00176, 0.00137, 0.0183, 0.0, 0.00745, 0.01152, 0.12858, 0.01899]\n",
      "loss: 0.001651  [  168/  391] grads: [0.0007, 0.0, 3e-05, 3e-05, 0.0004, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 4e-05, 3e-05, 0.00086, 0.0, 0.0001, 6e-05, 0.00118, 0.0, 0.00012, 0.0001, 0.00162, 0.0, 0.00035, 0.00022, 0.00305, 0.0, 0.00086, 0.00057, 0.00909, 0.0, 0.00268, 0.00422, 0.04488, 0.00702]\n",
      "Epoch 35\n",
      "-------------------------------\n",
      "loss: 0.001489  [    0/  391] grads: [0.00089, 0.0, 7e-05, 2e-05, 0.0007, 0.0, 5e-05, 3e-05, 0.00059, 0.0, 5e-05, 2e-05, 0.0006, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 4e-05, 2e-05, 0.00065, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 8e-05, 5e-05, 0.00122, 0.0, 0.00012, 6e-05, 0.00153, 0.0, 0.00028, 0.00014, 0.00268, 0.0, 0.00072, 0.00046, 0.00917, 0.0, 0.00173, 0.00156, 0.0322, 0.00245]\n",
      "loss: 0.002375  [   32/  391] grads: [0.00094, 0.0, 7e-05, 8e-05, 0.00081, 0.0, 4e-05, 7e-05, 0.00068, 0.0, 5e-05, 5e-05, 0.0007, 0.0, 6e-05, 4e-05, 0.00062, 0.0, 4e-05, 2e-05, 0.00074, 0.0, 5e-05, 4e-05, 0.00091, 0.0, 9e-05, 6e-05, 0.0015, 0.0, 0.00013, 8e-05, 0.00178, 0.0, 0.00023, 0.00017, 0.00312, 0.0, 0.00084, 0.00065, 0.00919, 0.0, 0.00472, 0.00633, 0.08298, 0.00966]\n",
      "loss: 0.002565  [   64/  391] grads: [0.0005, 0.0, 4e-05, 7e-05, 0.00039, 0.0, 3e-05, 6e-05, 0.0003, 0.0, 3e-05, 4e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.0004, 0.0, 3e-05, 3e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 9e-05, 7e-05, 0.00109, 0.0, 0.00019, 0.00014, 0.00222, 0.0, 0.00063, 0.00035, 0.00634, 0.0, 0.00465, 0.0074, 0.08154, 0.01118]\n",
      "loss: 0.001620  [   96/  391] grads: [0.00031, 0.0, 4e-05, 3e-05, 0.00042, 0.0, 3e-05, 3e-05, 0.00039, 0.0, 2e-05, 3e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 7e-05, 5e-05, 0.0011, 0.0, 0.00012, 8e-05, 0.00131, 0.0, 0.0002, 0.00013, 0.00201, 0.0, 0.00059, 0.00039, 0.00634, 0.0, 0.00273, 0.00184, 0.0443, 0.00145]\n",
      "loss: 0.001756  [  128/  391] grads: [0.0007, 0.0, 7e-05, 3e-05, 0.00072, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00069, 0.0, 8e-05, 3e-05, 0.00116, 0.0, 0.00014, 6e-05, 0.0017, 0.0, 0.0003, 0.00014, 0.00318, 0.0, 0.0006, 0.00024, 0.00855, 0.0, 0.00232, 0.00157, 0.03953, 0.00067]\n",
      "loss: 0.001724  [  160/  391] grads: [0.00052, 0.0, 3e-05, 6e-05, 0.0004, 0.0, 2e-05, 4e-05, 0.00039, 0.0, 3e-05, 3e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00054, 0.0, 4e-05, 3e-05, 0.00062, 0.0, 3e-05, 2e-05, 0.00073, 0.0, 6e-05, 4e-05, 0.00101, 0.0, 0.00012, 9e-05, 0.00151, 0.0, 0.0002, 0.00016, 0.00253, 0.0, 0.00049, 0.00038, 0.00515, 0.0, 0.00231, 0.00441, 0.03849, 0.00657]\n",
      "loss: 0.002465  [  192/  391] grads: [0.00071, 0.0, 4e-05, 0.00013, 0.00065, 0.0, 2e-05, 9e-05, 0.00037, 0.0, 2e-05, 6e-05, 0.00047, 0.0, 4e-05, 5e-05, 0.00051, 0.0, 4e-05, 4e-05, 0.00056, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 8e-05, 6e-05, 0.00104, 0.0, 0.00012, 0.00011, 0.00122, 0.0, 0.00021, 0.00018, 0.0023, 0.0, 0.00056, 0.00046, 0.00494, 0.0, 0.003, 0.0036, 0.04497, 0.00419]\n",
      "loss: 0.002604  [  224/  391] grads: [0.00063, 0.0, 0.0001, 8e-05, 0.00092, 0.0, 5e-05, 7e-05, 0.00049, 0.0, 4e-05, 6e-05, 0.00052, 0.0, 5e-05, 4e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00056, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 7e-05, 5e-05, 0.00116, 0.0, 0.00013, 9e-05, 0.00156, 0.0, 0.00027, 0.0002, 0.0029, 0.0, 0.00117, 0.00095, 0.01093, 0.0, 0.00513, 0.0034, 0.07748, 0.00231]\n",
      "loss: 0.001181  [  256/  391] grads: [0.00037, 0.0, 2e-05, 1e-05, 0.00023, 0.0, 1e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 5e-05, 3e-05, 0.00066, 0.0, 9e-05, 4e-05, 0.00111, 0.0, 0.00017, 0.00016, 0.00273, 0.0, 0.00099, 0.00163, 0.01612, 0.00246]\n",
      "loss: 0.004231  [  288/  391] grads: [0.00078, 0.0, 9e-05, 0.00019, 0.00113, 0.0, 6e-05, 0.00016, 0.00077, 0.0, 6e-05, 0.00012, 0.00101, 0.0, 0.0001, 8e-05, 0.00135, 0.0, 9e-05, 5e-05, 0.00122, 0.0, 9e-05, 5e-05, 0.00133, 0.0, 0.00012, 8e-05, 0.00206, 0.0, 0.0002, 0.00016, 0.00289, 0.0, 0.00043, 0.00037, 0.0049, 0.0, 0.00175, 0.0015, 0.01735, 0.0, 0.00839, 0.00905, 0.13241, 0.01323]\n",
      "loss: 0.001786  [  320/  391] grads: [0.00075, 0.0, 6e-05, 4e-05, 0.00061, 0.0, 3e-05, 3e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 3e-05, 2e-05, 0.00068, 0.0, 5e-05, 3e-05, 0.00095, 0.0, 8e-05, 5e-05, 0.001, 0.0, 0.00014, 0.00013, 0.00185, 0.0, 0.00063, 0.00048, 0.00609, 0.0, 0.00301, 0.00213, 0.04541, 0.00133]\n",
      "loss: 0.002506  [  352/  391] grads: [0.00165, 0.0, 0.00013, 0.0001, 0.00119, 0.0, 7e-05, 9e-05, 0.00087, 0.0, 0.0001, 7e-05, 0.00086, 0.0, 0.0001, 6e-05, 0.00095, 0.0, 8e-05, 4e-05, 0.00105, 0.0, 6e-05, 4e-05, 0.001, 0.0, 9e-05, 6e-05, 0.00161, 0.0, 0.00014, 0.00014, 0.00222, 0.0, 0.00039, 0.00035, 0.00423, 0.0, 0.00139, 0.00113, 0.01374, 0.0, 0.00586, 0.0078, 0.09786, 0.01237]\n",
      "loss: 0.001618  [  168/  391] grads: [0.00059, 0.0, 4e-05, 5e-05, 0.00051, 0.0, 2e-05, 4e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00066, 0.0, 4e-05, 2e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00082, 0.0, 7e-05, 4e-05, 0.00117, 0.0, 0.00011, 9e-05, 0.00144, 0.0, 0.00025, 0.00022, 0.00285, 0.0, 0.00067, 0.0005, 0.0073, 0.0, 0.0033, 0.00534, 0.05521, 0.00901]\n",
      "Epoch 36\n",
      "-------------------------------\n",
      "loss: 0.001386  [    0/  391] grads: [0.00043, 0.0, 2e-05, 1e-05, 0.00024, 0.0, 1e-05, 2e-05, 0.00029, 0.0, 1e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 2e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 6e-05, 4e-05, 0.00083, 0.0, 8e-05, 6e-05, 0.00116, 0.0, 0.00023, 0.00016, 0.00249, 0.0, 0.00051, 0.00032, 0.00628, 0.0, 0.00217, 0.00395, 0.03566, 0.00681]\n",
      "loss: 0.001439  [   32/  391] grads: [0.00039, 0.0, 3e-05, 4e-05, 0.00031, 0.0, 2e-05, 3e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 4e-05, 2e-05, 0.00038, 0.0, 2e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 7e-05, 5e-05, 0.00084, 0.0, 7e-05, 5e-05, 0.00101, 0.0, 0.00014, 9e-05, 0.00187, 0.0, 0.00043, 0.00037, 0.00595, 0.0, 0.00234, 0.00343, 0.03759, 0.00559]\n",
      "loss: 0.001686  [   64/  391] grads: [0.0007, 0.0, 6e-05, 5e-05, 0.00048, 0.0, 5e-05, 5e-05, 0.00037, 0.0, 5e-05, 2e-05, 0.00035, 0.0, 5e-05, 2e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 8e-05, 7e-05, 0.00106, 0.0, 0.00021, 0.00014, 0.00225, 0.0, 0.00038, 0.00017, 0.00399, 0.0, 0.0028, 0.00521, 0.04789, 0.00779]\n",
      "loss: 0.002428  [   96/  391] grads: [0.00065, 0.0, 8e-05, 0.00012, 0.00073, 0.0, 4e-05, 9e-05, 0.00048, 0.0, 5e-05, 7e-05, 0.00052, 0.0, 5e-05, 4e-05, 0.00059, 0.0, 4e-05, 2e-05, 0.00055, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 0.00013, 9e-05, 0.00162, 0.0, 0.00032, 0.00025, 0.0034, 0.0, 0.00141, 0.001, 0.01301, 0.0, 0.00557, 0.00363, 0.08566, 0.00208]\n",
      "loss: 0.001633  [  128/  391] grads: [0.0012, 0.0, 0.00011, 6e-05, 0.00089, 0.0, 8e-05, 4e-05, 0.00063, 0.0, 8e-05, 3e-05, 0.00055, 0.0, 9e-05, 3e-05, 0.00061, 0.0, 6e-05, 2e-05, 0.0006, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 8e-05, 4e-05, 0.00115, 0.0, 0.00012, 7e-05, 0.00152, 0.0, 0.00019, 0.00011, 0.00261, 0.0, 0.00054, 0.00054, 0.00851, 0.0, 0.00235, 0.00336, 0.04568, 0.00433]\n",
      "loss: 0.001627  [  160/  391] grads: [0.00044, 0.0, 7e-05, 3e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00054, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 3e-05, 2e-05, 0.00069, 0.0, 6e-05, 5e-05, 0.00097, 0.0, 9e-05, 6e-05, 0.00117, 0.0, 0.00017, 0.00012, 0.00193, 0.0, 0.00041, 0.00027, 0.00383, 0.0, 0.00209, 0.00297, 0.02988, 0.00391]\n",
      "loss: 0.001859  [  192/  391] grads: [0.00073, 0.0, 9e-05, 0.00013, 0.00085, 0.0, 6e-05, 0.0001, 0.00064, 0.0, 7e-05, 8e-05, 0.00068, 0.0, 9e-05, 6e-05, 0.00074, 0.0, 6e-05, 3e-05, 0.00069, 0.0, 5e-05, 4e-05, 0.00082, 0.0, 9e-05, 5e-05, 0.0013, 0.0, 0.00012, 0.00011, 0.00183, 0.0, 0.00016, 0.00016, 0.0025, 0.0, 0.00073, 0.00073, 0.00791, 0.0, 0.00317, 0.00306, 0.05109, 0.00404]\n",
      "loss: 0.002024  [  224/  391] grads: [0.00067, 0.0, 0.0001, 9e-05, 0.00085, 0.0, 7e-05, 8e-05, 0.0006, 0.0, 7e-05, 6e-05, 0.00062, 0.0, 8e-05, 4e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.00067, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 8e-05, 5e-05, 0.00128, 0.0, 0.00013, 0.00012, 0.00176, 0.0, 0.00022, 0.00021, 0.00273, 0.0, 0.00112, 0.00094, 0.01031, 0.0, 0.00458, 0.00335, 0.06755, 0.00354]\n",
      "loss: 0.001663  [  256/  391] grads: [0.0006, 0.0, 3e-05, 1e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 4e-05, 1e-05, 0.00045, 0.0, 6e-05, 3e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.0009, 0.0, 0.00012, 7e-05, 0.00114, 0.0, 0.00014, 9e-05, 0.0019, 0.0, 0.00046, 0.00017, 0.00424, 0.0, 0.00241, 0.00337, 0.037, 0.00416]\n",
      "loss: 0.006359  [  288/  391] grads: [0.00209, 0.0, 0.00026, 6e-05, 0.00197, 0.0, 0.00019, 6e-05, 0.00142, 0.0, 0.00019, 5e-05, 0.00129, 0.0, 0.00026, 9e-05, 0.00178, 0.0, 0.00014, 6e-05, 0.00139, 0.0, 0.0001, 5e-05, 0.00162, 0.0, 0.00015, 9e-05, 0.00271, 0.0, 0.00024, 0.00023, 0.00396, 0.0, 0.00065, 0.00056, 0.00672, 0.0, 0.00209, 0.00182, 0.02029, 0.0, 0.00959, 0.01472, 0.15172, 0.02177]\n",
      "loss: 0.001296  [  320/  391] grads: [0.00058, 0.0, 5e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 5e-05, 2e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.0008, 0.0, 5e-05, 3e-05, 0.00089, 0.0, 0.00014, 7e-05, 0.00157, 0.0, 0.00033, 0.00021, 0.0046, 0.0, 0.00119, 0.00154, 0.0195, 0.00253]\n",
      "loss: 0.002411  [  352/  391] grads: [0.00162, 0.0, 0.00011, 7e-05, 0.00103, 0.0, 7e-05, 8e-05, 0.0009, 0.0, 0.0001, 6e-05, 0.00087, 0.0, 0.00012, 5e-05, 0.00098, 0.0, 9e-05, 4e-05, 0.00096, 0.0, 7e-05, 4e-05, 0.00105, 0.0, 0.00011, 7e-05, 0.00174, 0.0, 0.00015, 0.00016, 0.0023, 0.0, 0.00037, 0.00037, 0.00399, 0.0, 0.00105, 0.00091, 0.01172, 0.0, 0.00526, 0.00778, 0.09106, 0.01205]\n",
      "loss: 0.001581  [  168/  391] grads: [0.00115, 0.0, 7e-05, 4e-05, 0.00077, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 8e-05, 4e-05, 0.00096, 0.0, 0.00012, 5e-05, 0.00122, 0.0, 8e-05, 5e-05, 0.00117, 0.0, 8e-05, 4e-05, 0.00125, 0.0, 8e-05, 6e-05, 0.00141, 0.0, 0.00013, 0.00013, 0.0018, 0.0, 0.00032, 0.00029, 0.00305, 0.0, 0.00062, 0.00049, 0.00677, 0.0, 0.00306, 0.00539, 0.05314, 0.00866]\n",
      "Epoch 37\n",
      "-------------------------------\n",
      "loss: 0.001774  [    0/  391] grads: [0.00079, 0.0, 3e-05, 3e-05, 0.00049, 0.0, 3e-05, 4e-05, 0.00059, 0.0, 6e-05, 4e-05, 0.00064, 0.0, 6e-05, 3e-05, 0.00066, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 4e-05, 2e-05, 0.0008, 0.0, 7e-05, 5e-05, 0.00108, 0.0, 0.00011, 0.00011, 0.00159, 0.0, 0.00038, 0.00031, 0.00342, 0.0, 0.00054, 0.00035, 0.00552, 0.0, 0.00294, 0.00599, 0.04997, 0.00992]\n",
      "loss: 0.001426  [   32/  391] grads: [0.00039, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 2e-05, 2e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00068, 0.0, 6e-05, 3e-05, 0.00092, 0.0, 8e-05, 5e-05, 0.00113, 0.0, 0.00022, 0.00012, 0.0023, 0.0, 0.00061, 0.00035, 0.00726, 0.0, 0.0021, 0.00362, 0.03589, 0.00646]\n",
      "loss: 0.004013  [   64/  391] grads: [0.00049, 0.0, 7e-05, 0.00014, 0.00076, 0.0, 5e-05, 0.00011, 0.00055, 0.0, 4e-05, 7e-05, 0.00051, 0.0, 5e-05, 5e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00083, 0.0, 9e-05, 6e-05, 0.00147, 0.0, 0.0002, 0.00013, 0.00194, 0.0, 0.00042, 0.00025, 0.00437, 0.0, 0.00102, 0.00071, 0.01092, 0.0, 0.00632, 0.01078, 0.10577, 0.0168]\n",
      "loss: 0.002103  [   96/  391] grads: [0.00142, 0.0, 8e-05, 0.00013, 0.00084, 0.0, 5e-05, 0.00011, 0.00068, 0.0, 6e-05, 8e-05, 0.00059, 0.0, 6e-05, 5e-05, 0.00063, 0.0, 6e-05, 2e-05, 0.00063, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 0.00011, 8e-05, 0.00141, 0.0, 0.00021, 0.0002, 0.00248, 0.0, 0.00098, 0.00081, 0.00938, 0.0, 0.00457, 0.00302, 0.07114, 0.00024]\n",
      "loss: 0.001664  [  128/  391] grads: [0.00108, 0.0, 0.00011, 2e-05, 0.00093, 0.0, 8e-05, 2e-05, 0.00076, 0.0, 8e-05, 2e-05, 0.00065, 0.0, 6e-05, 2e-05, 0.00089, 0.0, 7e-05, 3e-05, 0.00103, 0.0, 7e-05, 4e-05, 0.00108, 0.0, 0.0001, 5e-05, 0.00154, 0.0, 0.00013, 9e-05, 0.00163, 0.0, 0.00013, 0.00011, 0.00205, 0.0, 0.00036, 0.00037, 0.00577, 0.0, 0.00256, 0.00415, 0.04513, 0.00579]\n",
      "loss: 0.001421  [  160/  391] grads: [0.00108, 0.0, 8e-05, 4e-05, 0.00082, 0.0, 5e-05, 4e-05, 0.00074, 0.0, 7e-05, 4e-05, 0.00071, 0.0, 6e-05, 3e-05, 0.00076, 0.0, 6e-05, 3e-05, 0.0008, 0.0, 6e-05, 4e-05, 0.0008, 0.0, 7e-05, 5e-05, 0.00109, 0.0, 7e-05, 5e-05, 0.00112, 0.0, 0.00012, 9e-05, 0.00176, 0.0, 0.00056, 0.00048, 0.00586, 0.0, 0.00269, 0.00165, 0.03883, 0.00013]\n",
      "loss: 0.001818  [  192/  391] grads: [0.00143, 0.0, 0.00015, 8e-05, 0.00129, 0.0, 0.00012, 8e-05, 0.00077, 0.0, 0.00011, 7e-05, 0.00071, 0.0, 8e-05, 6e-05, 0.0007, 0.0, 7e-05, 3e-05, 0.00077, 0.0, 6e-05, 3e-05, 0.00092, 0.0, 7e-05, 4e-05, 0.00124, 0.0, 0.0001, 7e-05, 0.00148, 0.0, 0.00015, 0.00011, 0.00228, 0.0, 0.00056, 0.0006, 0.00725, 0.0, 0.00293, 0.00186, 0.04246, 0.00108]\n",
      "loss: 0.001860  [  224/  391] grads: [0.00115, 0.0, 0.0001, 8e-05, 0.00086, 0.0, 9e-05, 7e-05, 0.00073, 0.0, 8e-05, 7e-05, 0.00085, 0.0, 7e-05, 5e-05, 0.00081, 0.0, 5e-05, 3e-05, 0.00093, 0.0, 6e-05, 3e-05, 0.00095, 0.0, 7e-05, 5e-05, 0.00146, 0.0, 0.00012, 0.0001, 0.00173, 0.0, 0.00021, 0.00021, 0.00257, 0.0, 0.0007, 0.00063, 0.00722, 0.0, 0.0036, 0.00239, 0.0508, 0.00184]\n",
      "loss: 0.001958  [  256/  391] grads: [0.00093, 0.0, 5e-05, 4e-05, 0.00047, 0.0, 3e-05, 3e-05, 0.00062, 0.0, 6e-05, 3e-05, 0.0007, 0.0, 4e-05, 3e-05, 0.00084, 0.0, 6e-05, 4e-05, 0.0008, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 7e-05, 5e-05, 0.00113, 0.0, 0.00011, 8e-05, 0.00118, 0.0, 0.00011, 8e-05, 0.00166, 0.0, 0.00032, 0.00012, 0.00326, 0.0, 0.00249, 0.00426, 0.03785, 0.00584]\n",
      "loss: 0.005699  [  288/  391] grads: [0.00271, 0.0, 0.0002, 6e-05, 0.00156, 0.0, 0.00017, 7e-05, 0.00113, 0.0, 0.00017, 7e-05, 0.00127, 0.0, 0.00016, 7e-05, 0.00151, 0.0, 0.00014, 7e-05, 0.00152, 0.0, 9e-05, 6e-05, 0.00147, 0.0, 0.00012, 9e-05, 0.0024, 0.0, 0.00023, 0.00022, 0.00346, 0.0, 0.00057, 0.0005, 0.00594, 0.0, 0.00192, 0.0017, 0.01844, 0.0, 0.00956, 0.01389, 0.14117, 0.01975]\n",
      "loss: 0.001506  [  320/  391] grads: [0.00103, 0.0, 5e-05, 3e-05, 0.00054, 0.0, 2e-05, 3e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.00055, 0.0, 4e-05, 2e-05, 0.0006, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 4e-05, 3e-05, 0.00079, 0.0, 6e-05, 4e-05, 0.0011, 0.0, 8e-05, 6e-05, 0.00111, 0.0, 0.00011, 9e-05, 0.00167, 0.0, 0.00055, 0.00047, 0.00585, 0.0, 0.00208, 0.00156, 0.02965, 0.00124]\n",
      "loss: 0.002065  [  352/  391] grads: [0.00106, 0.0, 7e-05, 5e-05, 0.00074, 0.0, 6e-05, 6e-05, 0.00065, 0.0, 7e-05, 4e-05, 0.00089, 0.0, 6e-05, 4e-05, 0.00099, 0.0, 7e-05, 4e-05, 0.00105, 0.0, 7e-05, 4e-05, 0.00135, 0.0, 0.00012, 8e-05, 0.00191, 0.0, 0.00016, 0.00014, 0.00233, 0.0, 0.0004, 0.00035, 0.00395, 0.0, 0.00117, 0.00095, 0.011, 0.0, 0.00467, 0.00611, 0.07196, 0.00911]\n",
      "loss: 0.001367  [  168/  391] grads: [0.00074, 0.0, 3e-05, 4e-05, 0.00035, 0.0, 4e-05, 5e-05, 0.00048, 0.0, 6e-05, 5e-05, 0.00061, 0.0, 8e-05, 4e-05, 0.00068, 0.0, 5e-05, 2e-05, 0.00072, 0.0, 4e-05, 2e-05, 0.00084, 0.0, 6e-05, 4e-05, 0.00119, 0.0, 0.00011, 0.0001, 0.00154, 0.0, 0.00027, 0.00022, 0.00261, 0.0, 0.00046, 0.0004, 0.00453, 0.0, 0.00236, 0.00387, 0.0382, 0.00615]\n",
      "Epoch 38\n",
      "-------------------------------\n",
      "loss: 0.001413  [    0/  391] grads: [0.00023, 0.0, 3e-05, 1e-05, 0.00034, 0.0, 1e-05, 1e-05, 0.00038, 0.0, 2e-05, 1e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 2e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00068, 0.0, 5e-05, 3e-05, 0.00092, 0.0, 9e-05, 5e-05, 0.00119, 0.0, 0.00024, 0.00016, 0.0023, 0.0, 0.00079, 0.00051, 0.00695, 0.0, 0.00252, 0.0021, 0.03847, 0.00257]\n",
      "loss: 0.001281  [   32/  391] grads: [0.00037, 0.0, 4e-05, 2e-05, 0.0004, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 3e-05, 2e-05, 0.00085, 0.0, 5e-05, 4e-05, 0.00126, 0.0, 0.00011, 7e-05, 0.00134, 0.0, 0.00018, 0.00012, 0.00203, 0.0, 0.00038, 0.00024, 0.00451, 0.0, 0.0021, 0.00363, 0.03346, 0.00584]\n",
      "loss: 0.002953  [   64/  391] grads: [0.0001, 0.0, 4e-05, 9e-05, 0.00041, 0.0, 2e-05, 7e-05, 0.00037, 0.0, 2e-05, 5e-05, 0.00038, 0.0, 3e-05, 5e-05, 0.00048, 0.0, 3e-05, 3e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 6e-05, 5e-05, 0.00099, 0.0, 0.00014, 9e-05, 0.00161, 0.0, 0.0003, 0.00017, 0.00352, 0.0, 0.00094, 0.00057, 0.00879, 0.0, 0.00528, 0.00888, 0.08361, 0.01328]\n",
      "loss: 0.001819  [   96/  391] grads: [0.00104, 0.0, 9e-05, 5e-05, 0.00071, 0.0, 7e-05, 3e-05, 0.0005, 0.0, 7e-05, 3e-05, 0.00057, 0.0, 7e-05, 3e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 7e-05, 4e-05, 0.00118, 0.0, 9e-05, 8e-05, 0.00159, 0.0, 0.00031, 0.00025, 0.00299, 0.0, 0.00097, 0.00076, 0.0089, 0.0, 0.00349, 0.00397, 0.05324, 0.00538]\n",
      "loss: 0.001344  [  128/  391] grads: [0.00121, 0.0, 7e-05, 4e-05, 0.00058, 0.0, 6e-05, 2e-05, 0.00045, 0.0, 6e-05, 2e-05, 0.00042, 0.0, 5e-05, 2e-05, 0.00039, 0.0, 4e-05, 1e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 7e-05, 6e-05, 0.00105, 0.0, 9e-05, 0.0001, 0.00158, 0.0, 0.00039, 0.0005, 0.00456, 0.0, 0.0021, 0.00293, 0.03502, 0.00415]\n",
      "loss: 0.001033  [  160/  391] grads: [0.00029, 0.0, 1e-05, 2e-05, 0.00019, 0.0, 1e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 4e-05, 2e-05, 0.00074, 0.0, 6e-05, 4e-05, 0.00092, 0.0, 7e-05, 6e-05, 0.00126, 0.0, 0.00022, 0.00017, 0.00292, 0.0, 0.00081, 0.00075, 0.01247, 0.001]\n",
      "loss: 0.001539  [  192/  391] grads: [0.00107, 0.0, 0.0001, 5e-05, 0.0007, 0.0, 7e-05, 4e-05, 0.00052, 0.0, 7e-05, 3e-05, 0.00048, 0.0, 7e-05, 3e-05, 0.00046, 0.0, 5e-05, 2e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00055, 0.0, 6e-05, 4e-05, 0.00084, 0.0, 8e-05, 6e-05, 0.00114, 0.0, 0.00013, 0.00014, 0.00193, 0.0, 0.00066, 0.00066, 0.00701, 0.0, 0.00291, 0.00198, 0.04238, 0.00142]\n",
      "loss: 0.001809  [  224/  391] grads: [0.00074, 0.0, 9e-05, 4e-05, 0.00066, 0.0, 7e-05, 3e-05, 0.00043, 0.0, 6e-05, 3e-05, 0.00043, 0.0, 6e-05, 3e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 5e-05, 3e-05, 0.00091, 0.0, 8e-05, 7e-05, 0.00126, 0.0, 0.00017, 0.00016, 0.00205, 0.0, 0.00089, 0.0008, 0.00817, 0.0, 0.00376, 0.00268, 0.05348, 0.00212]\n",
      "loss: 0.001399  [  256/  391] grads: [0.00034, 0.0, 2e-05, 4e-05, 0.00029, 0.0, 1e-05, 3e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00067, 0.0, 8e-05, 5e-05, 0.00097, 0.0, 0.00011, 8e-05, 0.00168, 0.0, 0.00038, 0.0003, 0.00358, 0.0, 0.00184, 0.00184, 0.02864, 0.00173]\n",
      "loss: 0.005838  [  288/  391] grads: [0.00283, 0.0, 0.00033, 0.00013, 0.00231, 0.0, 0.00023, 0.00012, 0.00148, 0.0, 0.00022, 9e-05, 0.00137, 0.0, 0.00014, 6e-05, 0.00145, 0.0, 0.00016, 7e-05, 0.0015, 0.0, 0.00011, 6e-05, 0.00171, 0.0, 0.00018, 0.00011, 0.00269, 0.0, 0.00028, 0.00027, 0.00394, 0.0, 0.00063, 0.00063, 0.00685, 0.0, 0.00169, 0.00168, 0.01766, 0.0, 0.00921, 0.01427, 0.13775, 0.02073]\n",
      "loss: 0.001446  [  320/  391] grads: [0.00047, 0.0, 3e-05, 1e-05, 0.00028, 0.0, 3e-05, 1e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 4e-05, 3e-05, 0.00077, 0.0, 7e-05, 4e-05, 0.00086, 0.0, 0.00011, 8e-05, 0.00139, 0.0, 0.00039, 0.00015, 0.0033, 0.0, 0.002, 0.00325, 0.03171, 0.00454]\n",
      "loss: 0.002559  [  352/  391] grads: [0.00121, 0.0, 0.00015, 6e-05, 0.00114, 0.0, 9e-05, 7e-05, 0.00087, 0.0, 9e-05, 5e-05, 0.00091, 0.0, 7e-05, 5e-05, 0.00119, 0.0, 9e-05, 5e-05, 0.00113, 0.0, 8e-05, 4e-05, 0.00124, 0.0, 0.0001, 5e-05, 0.00166, 0.0, 0.00013, 0.00012, 0.00212, 0.0, 0.00042, 0.00037, 0.00417, 0.0, 0.00153, 0.0013, 0.01406, 0.0, 0.00614, 0.00737, 0.09426, 0.01083]\n",
      "loss: 0.001590  [  168/  391] grads: [0.00024, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 5e-05, 3e-05, 0.00088, 0.0, 9e-05, 5e-05, 0.00109, 0.0, 9e-05, 6e-05, 0.00124, 0.0, 0.00018, 0.00013, 0.00198, 0.0, 0.00052, 0.00035, 0.00549, 0.0, 0.00229, 0.00366, 0.03547, 0.00595]\n",
      "Epoch 39\n",
      "-------------------------------\n",
      "loss: 0.001271  [    0/  391] grads: [0.00055, 0.0, 5e-05, 5e-05, 0.00051, 0.0, 5e-05, 5e-05, 0.0006, 0.0, 7e-05, 6e-05, 0.00067, 0.0, 8e-05, 4e-05, 0.00079, 0.0, 5e-05, 2e-05, 0.00085, 0.0, 5e-05, 3e-05, 0.00086, 0.0, 6e-05, 4e-05, 0.00113, 0.0, 8e-05, 8e-05, 0.00129, 0.0, 0.00019, 0.0002, 0.00204, 0.0, 0.00046, 0.00038, 0.00484, 0.0, 0.00282, 0.00464, 0.04468, 0.00739]\n",
      "loss: 0.001147  [   32/  391] grads: [0.00053, 0.0, 6e-05, 3e-05, 0.00047, 0.0, 4e-05, 3e-05, 0.00034, 0.0, 3e-05, 1e-05, 0.00036, 0.0, 3e-05, 1e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 8e-05, 6e-05, 0.001, 0.0, 0.00019, 0.00016, 0.00187, 0.0, 0.00045, 0.00038, 0.00439, 0.0, 0.00207, 0.00329, 0.03122, 0.00491]\n",
      "loss: 0.002379  [   64/  391] grads: [0.00053, 0.0, 3e-05, 8e-05, 0.00039, 0.0, 1e-05, 6e-05, 0.00031, 0.0, 1e-05, 4e-05, 0.00035, 0.0, 2e-05, 4e-05, 0.00038, 0.0, 2e-05, 2e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 5e-05, 4e-05, 0.00102, 0.0, 0.00012, 8e-05, 0.00147, 0.0, 0.00025, 0.00016, 0.00289, 0.0, 0.00086, 0.00049, 0.00777, 0.0, 0.00471, 0.00722, 0.07613, 0.01064]\n",
      "loss: 0.001763  [   96/  391] grads: [0.00106, 0.0, 8e-05, 0.00011, 0.0007, 0.0, 6e-05, 9e-05, 0.00056, 0.0, 8e-05, 8e-05, 0.00069, 0.0, 9e-05, 6e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.00054, 0.0, 4e-05, 2e-05, 0.00064, 0.0, 6e-05, 3e-05, 0.00103, 0.0, 0.0001, 9e-05, 0.00148, 0.0, 0.00023, 0.00022, 0.0024, 0.0, 0.00098, 0.00083, 0.0089, 0.0, 0.00427, 0.00313, 0.06331, 0.00245]\n",
      "loss: 0.001247  [  128/  391] grads: [0.00122, 0.0, 7e-05, 3e-05, 0.00053, 0.0, 6e-05, 2e-05, 0.00048, 0.0, 6e-05, 1e-05, 0.00047, 0.0, 6e-05, 2e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 7e-05, 4e-05, 0.00094, 0.0, 9e-05, 5e-05, 0.00108, 0.0, 0.0001, 0.0001, 0.00151, 0.0, 0.00026, 0.00029, 0.00342, 0.0, 0.00151, 0.00252, 0.02575, 0.00348]\n",
      "loss: 0.001132  [  160/  391] grads: [0.0002, 0.0, 2e-05, 3e-05, 0.00025, 0.0, 1e-05, 2e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00031, 0.0, 3e-05, 1e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 0.00011, 8e-05, 0.00157, 0.0, 0.00038, 0.00023, 0.00365, 0.0, 0.00128, 0.00174, 0.0191, 0.00254]\n",
      "loss: 0.001397  [  192/  391] grads: [0.00044, 0.0, 5e-05, 8e-05, 0.00044, 0.0, 4e-05, 7e-05, 0.00037, 0.0, 5e-05, 5e-05, 0.00043, 0.0, 5e-05, 4e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00082, 0.0, 9e-05, 8e-05, 0.00121, 0.0, 0.00014, 0.00014, 0.00182, 0.0, 0.00056, 0.0005, 0.00539, 0.0, 0.00235, 0.00196, 0.03395, 0.0021]\n",
      "loss: 0.001822  [  224/  391] grads: [0.00112, 0.0, 0.0001, 0.00015, 0.00103, 0.0, 8e-05, 0.00013, 0.00082, 0.0, 0.0001, 0.00011, 0.00081, 0.0, 0.00012, 8e-05, 0.0008, 0.0, 7e-05, 4e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.00094, 0.0, 8e-05, 5e-05, 0.00139, 0.0, 0.00014, 0.00014, 0.00197, 0.0, 0.00027, 0.00028, 0.00297, 0.0, 0.00091, 0.00087, 0.00909, 0.0, 0.00456, 0.00464, 0.06681, 0.00612]\n",
      "loss: 0.001552  [  256/  391] grads: [0.00052, 0.0, 2e-05, 4e-05, 0.00027, 0.0, 1e-05, 3e-05, 0.00037, 0.0, 3e-05, 3e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00068, 0.0, 8e-05, 5e-05, 0.00075, 0.0, 8e-05, 7e-05, 0.00095, 0.0, 0.00039, 0.00025, 0.00295, 0.0, 0.00238, 0.00304, 0.03409, 0.00394]\n",
      "loss: 0.005106  [  288/  391] grads: [0.00125, 0.0, 4e-05, 0.00012, 0.00068, 0.0, 4e-05, 0.00012, 0.00093, 0.0, 8e-05, 0.00012, 0.00105, 0.0, 0.00013, 9e-05, 0.00116, 0.0, 9e-05, 4e-05, 0.00127, 0.0, 8e-05, 3e-05, 0.0013, 0.0, 0.00012, 6e-05, 0.00195, 0.0, 0.0002, 0.00018, 0.00295, 0.0, 0.00068, 0.00053, 0.00617, 0.0, 0.00221, 0.00174, 0.01943, 0.0, 0.00895, 0.01194, 0.12925, 0.01696]\n",
      "loss: 0.001827  [  320/  391] grads: [0.00083, 0.0, 5e-05, 6e-05, 0.0004, 0.0, 5e-05, 4e-05, 0.0004, 0.0, 4e-05, 3e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 5e-05, 4e-05, 0.00081, 0.0, 6e-05, 6e-05, 0.00092, 0.0, 0.00015, 0.00013, 0.00176, 0.0, 0.00088, 0.00063, 0.00709, 0.0, 0.00329, 0.00302, 0.04709, 0.00291]\n",
      "loss: 0.001782  [  352/  391] grads: [0.00049, 0.0, 3e-05, 3e-05, 0.00036, 0.0, 3e-05, 4e-05, 0.00048, 0.0, 5e-05, 3e-05, 0.0006, 0.0, 6e-05, 3e-05, 0.00073, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 6e-05, 3e-05, 0.00102, 0.0, 0.00011, 7e-05, 0.00158, 0.0, 0.00017, 0.00015, 0.00214, 0.0, 0.00039, 0.00034, 0.00357, 0.0, 0.00104, 0.00077, 0.00931, 0.0, 0.00426, 0.00629, 0.06617, 0.00975]\n",
      "loss: 0.003417  [  168/  391] grads: [0.00364, 0.0, 0.00028, 0.0002, 0.00198, 0.0, 0.0002, 0.00016, 0.00135, 0.0, 0.00015, 0.00013, 0.00142, 0.0, 0.00011, 0.0001, 0.00157, 0.0, 0.00015, 0.00012, 0.00178, 0.0, 0.00013, 8e-05, 0.00212, 0.0, 0.00024, 0.00016, 0.00303, 0.0, 0.00034, 0.00029, 0.00394, 0.0, 0.00051, 0.00057, 0.0054, 0.0, 0.00089, 0.00063, 0.00892, 0.0, 0.00566, 0.01117, 0.09428, 0.01682]\n",
      "Epoch 40\n",
      "-------------------------------\n",
      "loss: 0.001106  [    0/  391] grads: [0.00046, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 2e-05, 1e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00066, 0.0, 5e-05, 4e-05, 0.00094, 0.0, 8e-05, 6e-05, 0.00106, 0.0, 0.00021, 0.00014, 0.00183, 0.0, 0.00028, 0.00018, 0.00351, 0.0, 0.00106, 0.00204, 0.01487, 0.00335]\n",
      "loss: 0.001159  [   32/  391] grads: [0.00027, 0.0, 5e-05, 5e-05, 0.00037, 0.0, 3e-05, 4e-05, 0.00025, 0.0, 2e-05, 3e-05, 0.00025, 0.0, 2e-05, 2e-05, 0.00026, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.00079, 0.0, 0.00013, 8e-05, 0.00146, 0.0, 0.00033, 0.00028, 0.00461, 0.0, 0.00176, 0.00243, 0.02645, 0.00388]\n",
      "loss: 0.001784  [   64/  391] grads: [0.00034, 0.0, 3e-05, 4e-05, 0.00029, 0.0, 1e-05, 3e-05, 0.00029, 0.0, 1e-05, 2e-05, 0.00031, 0.0, 3e-05, 3e-05, 0.00038, 0.0, 2e-05, 2e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 4e-05, 3e-05, 0.00089, 0.0, 0.0001, 7e-05, 0.00103, 0.0, 0.00015, 0.0001, 0.00184, 0.0, 0.00043, 0.00021, 0.00439, 0.0, 0.00316, 0.00529, 0.04882, 0.00789]\n",
      "loss: 0.002378  [   96/  391] grads: [0.00246, 0.0, 0.00012, 8e-05, 0.00091, 0.0, 9e-05, 5e-05, 0.00069, 0.0, 9e-05, 4e-05, 0.00066, 0.0, 9e-05, 4e-05, 0.00082, 0.0, 7e-05, 4e-05, 0.00079, 0.0, 5e-05, 3e-05, 0.00094, 0.0, 9e-05, 5e-05, 0.00151, 0.0, 0.00013, 0.00013, 0.00207, 0.0, 0.00035, 0.00032, 0.00333, 0.0, 0.00115, 0.00088, 0.01038, 0.0, 0.00524, 0.00706, 0.07716, 0.00974]\n",
      "loss: 0.001768  [  128/  391] grads: [0.00104, 0.0, 2e-05, 0.00011, 0.00035, 0.0, 2e-05, 8e-05, 0.00031, 0.0, 2e-05, 6e-05, 0.00032, 0.0, 2e-05, 4e-05, 0.00038, 0.0, 3e-05, 3e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 6e-05, 4e-05, 0.00076, 0.0, 7e-05, 7e-05, 0.00098, 0.0, 0.00018, 0.00014, 0.00175, 0.0, 0.00028, 0.00031, 0.00328, 0.0, 0.00249, 0.00396, 0.03569, 0.00553]\n",
      "loss: 0.001348  [  160/  391] grads: [0.00029, 0.0, 1e-05, 6e-05, 0.00022, 0.0, 1e-05, 4e-05, 0.00017, 0.0, 2e-05, 3e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 5e-05, 3e-05, 0.00055, 0.0, 6e-05, 4e-05, 0.00071, 0.0, 0.00011, 7e-05, 0.00132, 0.0, 0.00024, 0.00017, 0.0032, 0.0, 0.00159, 0.00224, 0.02223, 0.0032]\n",
      "loss: 0.001517  [  192/  391] grads: [0.00104, 0.0, 0.00016, 8e-05, 0.00114, 0.0, 0.00011, 7e-05, 0.00075, 0.0, 0.00011, 6e-05, 0.00066, 0.0, 0.00012, 6e-05, 0.00077, 0.0, 8e-05, 4e-05, 0.00074, 0.0, 6e-05, 3e-05, 0.00086, 0.0, 0.0001, 5e-05, 0.00141, 0.0, 0.00011, 9e-05, 0.00179, 0.0, 0.0002, 0.0002, 0.00265, 0.0, 0.00069, 0.00077, 0.00768, 0.0, 0.00361, 0.00373, 0.05409, 0.00464]\n",
      "loss: 0.001194  [  224/  391] grads: [0.00066, 0.0, 5e-05, 5e-05, 0.00045, 0.0, 4e-05, 5e-05, 0.00037, 0.0, 5e-05, 5e-05, 0.00036, 0.0, 6e-05, 4e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 6e-05, 3e-05, 0.00083, 0.0, 7e-05, 6e-05, 0.00108, 0.0, 0.00017, 0.00016, 0.00185, 0.0, 0.00054, 0.00045, 0.00517, 0.0, 0.0025, 0.0024, 0.03652, 0.00317]\n",
      "loss: 0.001457  [  256/  391] grads: [0.00204, 0.0, 6e-05, 0.00012, 0.00072, 0.0, 4e-05, 9e-05, 0.0006, 0.0, 7e-05, 8e-05, 0.00068, 0.0, 0.00011, 7e-05, 0.00075, 0.0, 5e-05, 3e-05, 0.00062, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 0.00012, 7e-05, 0.00144, 0.0, 0.00017, 0.00011, 0.00225, 0.0, 0.00058, 0.0006, 0.00612, 0.0, 0.0027, 0.00347, 0.04178, 0.00456]\n",
      "loss: 0.004697  [  288/  391] grads: [0.00316, 0.0, 0.00011, 0.00029, 0.00141, 0.0, 9e-05, 0.00024, 0.0013, 0.0, 0.00015, 0.0002, 0.00147, 0.0, 0.00024, 0.00016, 0.00164, 0.0, 0.00012, 6e-05, 0.00123, 0.0, 8e-05, 5e-05, 0.00127, 0.0, 0.00015, 9e-05, 0.00232, 0.0, 0.00019, 0.00017, 0.00321, 0.0, 0.0005, 0.00046, 0.00555, 0.0, 0.00221, 0.00195, 0.01978, 0.0, 0.00964, 0.01086, 0.14145, 0.01474]\n",
      "loss: 0.001220  [  320/  391] grads: [0.00044, 0.0, 2e-05, 6e-05, 0.00031, 0.0, 2e-05, 4e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 5e-05, 3e-05, 0.00069, 0.0, 7e-05, 4e-05, 0.00085, 0.0, 0.00015, 0.0001, 0.00168, 0.0, 0.00047, 0.00027, 0.00428, 0.0, 0.00177, 0.00182, 0.02575, 0.00195]\n",
      "loss: 0.003366  [  352/  391] grads: [0.0015, 0.0, 0.00011, 0.00021, 0.00129, 0.0, 6e-05, 0.00017, 0.00117, 0.0, 0.00011, 0.00015, 0.00113, 0.0, 0.00017, 0.00012, 0.00124, 0.0, 0.0001, 6e-05, 0.00133, 0.0, 8e-05, 4e-05, 0.00127, 0.0, 0.00011, 7e-05, 0.00188, 0.0, 0.00017, 0.00018, 0.00284, 0.0, 0.00055, 0.00049, 0.00529, 0.0, 0.00184, 0.00159, 0.01697, 0.0, 0.00803, 0.01047, 0.12484, 0.01601]\n",
      "loss: 0.002085  [  168/  391] grads: [0.00125, 0.0, 0.0001, 5e-05, 0.00074, 0.0, 7e-05, 4e-05, 0.00059, 0.0, 6e-05, 3e-05, 0.00063, 0.0, 6e-05, 3e-05, 0.00065, 0.0, 6e-05, 3e-05, 0.00083, 0.0, 6e-05, 4e-05, 0.00102, 0.0, 9e-05, 6e-05, 0.00181, 0.0, 0.00015, 0.0001, 0.00246, 0.0, 0.00049, 0.00037, 0.0048, 0.0, 0.0013, 0.00104, 0.01148, 0.0, 0.00482, 0.00577, 0.07273, 0.00869]\n",
      "Epoch 41\n",
      "-------------------------------\n",
      "loss: 0.001285  [    0/  391] grads: [0.00045, 0.0, 4e-05, 4e-05, 0.00041, 0.0, 2e-05, 4e-05, 0.00045, 0.0, 4e-05, 4e-05, 0.00044, 0.0, 7e-05, 5e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00056, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 7e-05, 4e-05, 0.00101, 0.0, 8e-05, 6e-05, 0.00122, 0.0, 0.00019, 0.00016, 0.00201, 0.0, 0.00044, 0.00042, 0.00394, 0.0, 0.00247, 0.00445, 0.03948, 0.00711]\n",
      "loss: 0.002209  [   32/  391] grads: [0.00065, 0.0, 2e-05, 0.0001, 0.00037, 0.0, 2e-05, 7e-05, 0.00038, 0.0, 2e-05, 5e-05, 0.00045, 0.0, 3e-05, 4e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 8e-05, 6e-05, 0.00095, 0.0, 0.00011, 9e-05, 0.00126, 0.0, 0.0003, 0.00018, 0.00287, 0.0, 0.00076, 0.00053, 0.00709, 0.0, 0.00427, 0.00705, 0.06536, 0.0105]\n",
      "loss: 0.001349  [   64/  391] grads: [0.00027, 0.0, 6e-05, 7e-05, 0.00048, 0.0, 3e-05, 5e-05, 0.00037, 0.0, 3e-05, 3e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00073, 0.0, 6e-05, 6e-05, 0.00103, 0.0, 0.00012, 0.00012, 0.00166, 0.0, 0.00068, 0.00055, 0.00662, 0.0, 0.00267, 0.00202, 0.04103, 0.00226]\n",
      "loss: 0.001767  [   96/  391] grads: [0.00184, 0.0, 0.00012, 8e-05, 0.00086, 0.0, 8e-05, 4e-05, 0.0006, 0.0, 7e-05, 3e-05, 0.00053, 0.0, 5e-05, 2e-05, 0.00063, 0.0, 6e-05, 3e-05, 0.0006, 0.0, 4e-05, 2e-05, 0.00064, 0.0, 6e-05, 3e-05, 0.001, 0.0, 9e-05, 8e-05, 0.00138, 0.0, 0.00027, 0.00026, 0.00273, 0.0, 0.00117, 0.00096, 0.01042, 0.0, 0.00453, 0.00399, 0.06647, 0.00456]\n",
      "loss: 0.001339  [  128/  391] grads: [0.00032, 0.0, 3e-05, 2e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00022, 0.0, 2e-05, 1e-05, 0.00021, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00044, 0.0, 6e-05, 2e-05, 0.00064, 0.0, 8e-05, 3e-05, 0.00098, 0.0, 0.00025, 0.00014, 0.00234, 0.0, 0.00077, 0.00041, 0.00789, 0.0, 0.00211, 0.00141, 0.02985, 0.00125]\n",
      "loss: 0.001269  [  160/  391] grads: [0.00047, 0.0, 2e-05, 2e-05, 0.0002, 0.0, 1e-05, 1e-05, 0.00021, 0.0, 1e-05, 1e-05, 0.00022, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 8e-05, 4e-05, 0.00097, 0.0, 0.00014, 8e-05, 0.00163, 0.0, 0.00021, 0.00014, 0.00248, 0.0, 0.00158, 0.0029, 0.0235, 0.00423]\n",
      "loss: 0.001673  [  192/  391] grads: [0.00102, 0.0, 9e-05, 0.00016, 0.00095, 0.0, 6e-05, 0.00012, 0.00072, 0.0, 7e-05, 9e-05, 0.00061, 0.0, 6e-05, 6e-05, 0.00065, 0.0, 6e-05, 4e-05, 0.0007, 0.0, 6e-05, 4e-05, 0.00082, 0.0, 8e-05, 4e-05, 0.00126, 0.0, 0.00013, 0.0001, 0.00179, 0.0, 0.00016, 0.00014, 0.00235, 0.0, 0.00063, 0.00071, 0.00722, 0.0, 0.00329, 0.00326, 0.0506, 0.00403]\n",
      "loss: 0.002130  [  224/  391] grads: [0.00133, 0.0, 0.00011, 0.00014, 0.00103, 0.0, 7e-05, 0.00011, 0.00082, 0.0, 7e-05, 9e-05, 0.00067, 0.0, 7e-05, 6e-05, 0.00066, 0.0, 6e-05, 3e-05, 0.00074, 0.0, 5e-05, 4e-05, 0.00086, 0.0, 8e-05, 5e-05, 0.00146, 0.0, 0.00014, 0.00013, 0.00221, 0.0, 0.00023, 0.00024, 0.00306, 0.0, 0.00118, 0.00111, 0.0117, 0.0, 0.00546, 0.00518, 0.07965, 0.00656]\n",
      "loss: 0.001508  [  256/  391] grads: [0.00024, 0.0, 1e-05, 2e-05, 0.00018, 0.0, 1e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 2e-05, 2e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00076, 0.0, 0.0001, 6e-05, 0.00094, 0.0, 0.00017, 0.00011, 0.00189, 0.0, 0.00054, 0.00029, 0.00487, 0.0, 0.00188, 0.00129, 0.02668, 0.00077]\n",
      "loss: 0.004850  [  288/  391] grads: [0.00278, 0.0, 0.00017, 0.00016, 0.00144, 0.0, 8e-05, 0.00011, 0.0013, 0.0, 0.00012, 9e-05, 0.00102, 0.0, 0.00013, 6e-05, 0.00123, 0.0, 0.00011, 6e-05, 0.0014, 0.0, 0.0001, 6e-05, 0.00161, 0.0, 0.00015, 0.0001, 0.00244, 0.0, 0.00022, 0.00021, 0.00318, 0.0, 0.00043, 0.00042, 0.00489, 0.0, 0.00167, 0.00158, 0.01582, 0.0, 0.00812, 0.01352, 0.11671, 0.01908]\n",
      "loss: 0.001230  [  320/  391] grads: [0.00036, 0.0, 2e-05, 4e-05, 0.00031, 0.0, 2e-05, 3e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 5e-05, 3e-05, 0.00092, 0.0, 8e-05, 5e-05, 0.00093, 0.0, 8e-05, 5e-05, 0.00115, 0.0, 0.00037, 0.00032, 0.00363, 0.0, 0.00177, 0.00199, 0.02497, 0.00254]\n",
      "loss: 0.002091  [  352/  391] grads: [0.00213, 0.0, 8e-05, 0.0001, 0.00074, 0.0, 4e-05, 9e-05, 0.00077, 0.0, 7e-05, 8e-05, 0.00086, 0.0, 0.00012, 8e-05, 0.00099, 0.0, 8e-05, 5e-05, 0.00083, 0.0, 6e-05, 5e-05, 0.00108, 0.0, 0.00013, 8e-05, 0.00179, 0.0, 0.00011, 0.00013, 0.00216, 0.0, 0.00032, 0.0003, 0.0033, 0.0, 0.00126, 0.00105, 0.01132, 0.0, 0.0054, 0.00733, 0.08061, 0.01071]\n",
      "loss: 0.001077  [  168/  391] grads: [0.00057, 0.0, 1e-05, 2e-05, 0.00019, 0.0, 1e-05, 1e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 4e-05, 4e-05, 0.0007, 0.0, 0.00015, 9e-05, 0.00142, 0.0, 0.00049, 0.00028, 0.0043, 0.0, 0.00142, 0.00171, 0.0208, 0.00256]\n",
      "Epoch 42\n",
      "-------------------------------\n",
      "loss: 0.001205  [    0/  391] grads: [0.00113, 0.0, 2e-05, 3e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 1e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 7e-05, 6e-05, 0.00094, 0.0, 0.00019, 0.00014, 0.00191, 0.0, 0.00073, 0.00052, 0.00632, 0.0, 0.00226, 0.00344, 0.03263, 0.00522]\n",
      "loss: 0.002906  [   32/  391] grads: [0.00168, 0.0, 0.00013, 0.00016, 0.00093, 0.0, 9e-05, 0.00012, 0.00073, 0.0, 6e-05, 9e-05, 0.00072, 0.0, 5e-05, 6e-05, 0.00079, 0.0, 6e-05, 5e-05, 0.00094, 0.0, 6e-05, 4e-05, 0.00112, 0.0, 0.00012, 0.0001, 0.00167, 0.0, 0.00022, 0.00017, 0.00241, 0.0, 0.0004, 0.00033, 0.00428, 0.0, 0.00107, 0.00062, 0.00827, 0.0, 0.00518, 0.00894, 0.08573, 0.01324]\n",
      "loss: 0.002745  [   64/  391] grads: [0.00059, 0.0, 3e-05, 7e-05, 0.00031, 0.0, 3e-05, 6e-05, 0.00036, 0.0, 4e-05, 4e-05, 0.00041, 0.0, 3e-05, 3e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 6e-05, 5e-05, 0.00101, 0.0, 0.00015, 0.00011, 0.00141, 0.0, 0.00033, 0.00023, 0.00294, 0.0, 0.0008, 0.00043, 0.00616, 0.0, 0.00498, 0.00882, 0.08069, 0.01328]\n",
      "loss: 0.002135  [   96/  391] grads: [0.00037, 0.0, 5e-05, 0.00012, 0.00049, 0.0, 3e-05, 9e-05, 0.00045, 0.0, 2e-05, 7e-05, 0.00048, 0.0, 4e-05, 5e-05, 0.00056, 0.0, 3e-05, 3e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 6e-05, 4e-05, 0.00133, 0.0, 0.00013, 8e-05, 0.0016, 0.0, 0.00027, 0.00019, 0.00299, 0.0, 0.00131, 0.00098, 0.01087, 0.0, 0.00458, 0.00333, 0.06859, 0.00094]\n",
      "loss: 0.001349  [  128/  391] grads: [0.00113, 0.0, 0.00011, 3e-05, 0.00072, 0.0, 7e-05, 3e-05, 0.00051, 0.0, 6e-05, 2e-05, 0.0005, 0.0, 6e-05, 2e-05, 0.00061, 0.0, 5e-05, 2e-05, 0.00073, 0.0, 5e-05, 2e-05, 0.00083, 0.0, 8e-05, 3e-05, 0.00121, 0.0, 0.0001, 7e-05, 0.00122, 0.0, 0.00013, 0.0001, 0.00161, 0.0, 0.00024, 0.00026, 0.00357, 0.0, 0.00198, 0.00361, 0.03278, 0.00489]\n",
      "loss: 0.001405  [  160/  391] grads: [0.00112, 0.0, 8e-05, 4e-05, 0.00054, 0.0, 6e-05, 2e-05, 0.00047, 0.0, 5e-05, 2e-05, 0.00056, 0.0, 6e-05, 3e-05, 0.0006, 0.0, 4e-05, 2e-05, 0.00065, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 6e-05, 3e-05, 0.0011, 0.0, 9e-05, 6e-05, 0.0012, 0.0, 0.00013, 0.0001, 0.00171, 0.0, 0.00028, 0.00017, 0.00323, 0.0, 0.00231, 0.00433, 0.03556, 0.00606]\n",
      "loss: 0.001535  [  192/  391] grads: [0.00035, 0.0, 3e-05, 7e-05, 0.00035, 0.0, 3e-05, 6e-05, 0.00033, 0.0, 4e-05, 5e-05, 0.00038, 0.0, 6e-05, 4e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 6e-05, 3e-05, 0.00082, 0.0, 8e-05, 6e-05, 0.00108, 0.0, 0.00014, 0.0001, 0.00176, 0.0, 0.00064, 0.00049, 0.00564, 0.0, 0.00253, 0.00166, 0.03423, 0.00087]\n",
      "loss: 0.002211  [  224/  391] grads: [0.00182, 0.0, 0.00015, 8e-05, 0.00113, 0.0, 0.00012, 6e-05, 0.00088, 0.0, 0.00012, 5e-05, 0.00074, 0.0, 0.00012, 5e-05, 0.00081, 0.0, 9e-05, 4e-05, 0.0008, 0.0, 7e-05, 4e-05, 0.00093, 0.0, 0.00012, 6e-05, 0.00159, 0.0, 0.00013, 0.00013, 0.00203, 0.0, 0.00029, 0.00028, 0.00318, 0.0, 0.00127, 0.00108, 0.01133, 0.0, 0.00577, 0.00534, 0.0802, 0.00633]\n",
      "loss: 0.001276  [  256/  391] grads: [0.00065, 0.0, 7e-05, 3e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00045, 0.0, 6e-05, 2e-05, 0.00042, 0.0, 6e-05, 3e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.00042, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 6e-05, 4e-05, 0.00078, 0.0, 7e-05, 5e-05, 0.00091, 0.0, 8e-05, 8e-05, 0.00135, 0.0, 0.00039, 0.00039, 0.00476, 0.0, 0.00203, 0.00119, 0.02806, 0.00065]\n",
      "loss: 0.005946  [  288/  391] grads: [0.002, 0.0, 6e-05, 0.00011, 0.0008, 0.0, 7e-05, 9e-05, 0.00097, 0.0, 0.00012, 0.0001, 0.00111, 0.0, 0.00018, 0.0001, 0.00141, 0.0, 0.00011, 7e-05, 0.00115, 0.0, 9e-05, 6e-05, 0.00142, 0.0, 0.00014, 8e-05, 0.00222, 0.0, 0.00015, 0.00018, 0.00299, 0.0, 0.00064, 0.00055, 0.00609, 0.0, 0.00248, 0.00193, 0.02144, 0.0, 0.01074, 0.01447, 0.14802, 0.01979]\n",
      "loss: 0.002139  [  320/  391] grads: [0.00132, 0.0, 0.00013, 7e-05, 0.00089, 0.0, 9e-05, 5e-05, 0.0006, 0.0, 8e-05, 2e-05, 0.00053, 0.0, 6e-05, 2e-05, 0.00066, 0.0, 7e-05, 4e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 7e-05, 5e-05, 0.00107, 0.0, 0.00014, 0.00012, 0.00145, 0.0, 0.00021, 0.00022, 0.00271, 0.0, 0.00068, 0.00034, 0.00578, 0.0, 0.00336, 0.00594, 0.05473, 0.00803]\n",
      "loss: 0.002426  [  352/  391] grads: [0.00135, 0.0, 0.0001, 7e-05, 0.00092, 0.0, 9e-05, 8e-05, 0.00089, 0.0, 0.00012, 8e-05, 0.00103, 0.0, 0.00012, 6e-05, 0.00112, 0.0, 0.0001, 5e-05, 0.00105, 0.0, 7e-05, 4e-05, 0.00113, 0.0, 0.0001, 6e-05, 0.00171, 0.0, 0.00015, 0.00016, 0.00232, 0.0, 0.00042, 0.00039, 0.00416, 0.0, 0.00138, 0.00111, 0.01308, 0.0, 0.00611, 0.00827, 0.08879, 0.01218]\n",
      "loss: 0.001586  [  168/  391] grads: [0.00133, 0.0, 5e-05, 7e-05, 0.00063, 0.0, 3e-05, 5e-05, 0.00083, 0.0, 8e-05, 7e-05, 0.00094, 0.0, 0.00012, 7e-05, 0.00125, 0.0, 8e-05, 6e-05, 0.00105, 0.0, 6e-05, 6e-05, 0.00108, 0.0, 9e-05, 6e-05, 0.00147, 0.0, 0.0001, 0.00013, 0.00163, 0.0, 0.00032, 0.00031, 0.00302, 0.0, 0.00102, 0.00081, 0.00945, 0.0, 0.00421, 0.00582, 0.06241, 0.00837]\n",
      "Epoch 43\n",
      "-------------------------------\n",
      "loss: 0.001297  [    0/  391] grads: [0.0004, 0.0, 3e-05, 3e-05, 0.00033, 0.0, 2e-05, 3e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 5e-05, 3e-05, 0.00055, 0.0, 4e-05, 2e-05, 0.0006, 0.0, 4e-05, 3e-05, 0.00065, 0.0, 5e-05, 4e-05, 0.00093, 0.0, 7e-05, 7e-05, 0.00104, 0.0, 0.00021, 0.00017, 0.00203, 0.0, 0.00057, 0.00039, 0.00519, 0.0, 0.00236, 0.00377, 0.0346, 0.00599]\n",
      "loss: 0.001835  [   32/  391] grads: [0.00022, 0.0, 1e-05, 3e-05, 0.00016, 0.0, 1e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 3e-05, 3e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00103, 0.0, 0.00012, 8e-05, 0.00127, 0.0, 0.00019, 9e-05, 0.00221, 0.0, 0.00059, 0.00033, 0.0061, 0.0, 0.0037, 0.00628, 0.05798, 0.01017]\n",
      "loss: 0.001715  [   64/  391] grads: [0.00094, 0.0, 0.00011, 4e-05, 0.00069, 0.0, 8e-05, 3e-05, 0.00047, 0.0, 6e-05, 2e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00048, 0.0, 5e-05, 2e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 0.00011, 9e-05, 0.0013, 0.0, 0.00022, 0.00017, 0.0021, 0.0, 0.00043, 0.00031, 0.00435, 0.0, 0.00342, 0.00662, 0.05156, 0.0102]\n",
      "loss: 0.003009  [   96/  391] grads: [0.0014, 0.0, 0.00011, 0.00015, 0.00115, 0.0, 7e-05, 0.00013, 0.00107, 0.0, 8e-05, 0.0001, 0.00099, 0.0, 0.00011, 7e-05, 0.00115, 0.0, 0.0001, 5e-05, 0.00118, 0.0, 8e-05, 5e-05, 0.00121, 0.0, 0.00011, 6e-05, 0.00192, 0.0, 0.00023, 0.00016, 0.00267, 0.0, 0.0004, 0.00037, 0.00448, 0.0, 0.00199, 0.00162, 0.01674, 0.0, 0.00796, 0.00528, 0.11546, 0.00141]\n",
      "loss: 0.001677  [  128/  391] grads: [0.00075, 0.0, 0.0001, 1e-05, 0.00067, 0.0, 7e-05, 1e-05, 0.00048, 0.0, 5e-05, 2e-05, 0.00039, 0.0, 5e-05, 1e-05, 0.00049, 0.0, 5e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 5e-05, 3e-05, 0.0008, 0.0, 8e-05, 5e-05, 0.00106, 0.0, 0.00019, 9e-05, 0.00193, 0.0, 0.00041, 0.00025, 0.00504, 0.0, 0.00251, 0.00419, 0.0425, 0.00545]\n",
      "loss: 0.002006  [  160/  391] grads: [0.00128, 0.0, 0.00011, 5e-05, 0.00076, 0.0, 8e-05, 3e-05, 0.0006, 0.0, 9e-05, 4e-05, 0.00069, 0.0, 8e-05, 4e-05, 0.00082, 0.0, 6e-05, 3e-05, 0.00082, 0.0, 6e-05, 4e-05, 0.00092, 0.0, 7e-05, 6e-05, 0.00137, 0.0, 0.00015, 0.00012, 0.00177, 0.0, 0.00023, 0.00023, 0.00259, 0.0, 0.00043, 0.00036, 0.0042, 0.0, 0.00337, 0.00671, 0.05135, 0.00937]\n",
      "loss: 0.001757  [  192/  391] grads: [0.00057, 0.0, 8e-05, 0.00014, 0.00082, 0.0, 5e-05, 0.00011, 0.0006, 0.0, 6e-05, 8e-05, 0.00056, 0.0, 6e-05, 5e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00069, 0.0, 7e-05, 4e-05, 0.00111, 0.0, 0.00011, 0.0001, 0.00144, 0.0, 0.0002, 0.00018, 0.00241, 0.0, 0.00111, 0.00097, 0.00927, 0.0, 0.0045, 0.00364, 0.06045, 0.00391]\n",
      "loss: 0.002476  [  224/  391] grads: [0.00069, 0.0, 8e-05, 0.0001, 0.00071, 0.0, 6e-05, 8e-05, 0.00053, 0.0, 6e-05, 7e-05, 0.00056, 0.0, 6e-05, 5e-05, 0.0006, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 7e-05, 5e-05, 0.00129, 0.0, 0.00013, 0.0001, 0.00167, 0.0, 0.00031, 0.00025, 0.00319, 0.0, 0.00132, 0.00106, 0.01084, 0.0, 0.00542, 0.00391, 0.07141, 0.00361]\n",
      "loss: 0.001582  [  256/  391] grads: [0.00059, 0.0, 3e-05, 2e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00037, 0.0, 3e-05, 3e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 4e-05, 3e-05, 0.00087, 0.0, 8e-05, 4e-05, 0.0009, 0.0, 0.00013, 9e-05, 0.00149, 0.0, 0.00045, 0.00024, 0.00401, 0.0, 0.0023, 0.00259, 0.03134, 0.00315]\n",
      "loss: 0.005764  [  288/  391] grads: [0.00116, 0.0, 6e-05, 7e-05, 0.00056, 0.0, 5e-05, 7e-05, 0.00048, 0.0, 6e-05, 7e-05, 0.00063, 0.0, 7e-05, 5e-05, 0.0008, 0.0, 7e-05, 3e-05, 0.00089, 0.0, 5e-05, 3e-05, 0.00109, 0.0, 0.00011, 7e-05, 0.00178, 0.0, 0.00017, 0.00014, 0.00261, 0.0, 0.00063, 0.00047, 0.00602, 0.0, 0.00239, 0.00184, 0.02087, 0.0, 0.01044, 0.01302, 0.14007, 0.01823]\n",
      "loss: 0.002614  [  320/  391] grads: [0.00091, 0.0, 7e-05, 2e-05, 0.00054, 0.0, 7e-05, 1e-05, 0.00051, 0.0, 8e-05, 2e-05, 0.00065, 0.0, 7e-05, 2e-05, 0.00071, 0.0, 5e-05, 2e-05, 0.00071, 0.0, 4e-05, 3e-05, 0.00087, 0.0, 6e-05, 5e-05, 0.00118, 0.0, 0.00012, 0.00011, 0.00136, 0.0, 0.0002, 0.00018, 0.00186, 0.0, 0.00025, 0.00021, 0.00308, 0.0, 0.00396, 0.00745, 0.05792, 0.0108]\n",
      "loss: 0.001860  [  352/  391] grads: [0.00064, 0.0, 6e-05, 4e-05, 0.00053, 0.0, 3e-05, 4e-05, 0.00047, 0.0, 6e-05, 3e-05, 0.0006, 0.0, 4e-05, 3e-05, 0.00079, 0.0, 6e-05, 3e-05, 0.00076, 0.0, 5e-05, 3e-05, 0.00098, 0.0, 9e-05, 6e-05, 0.00144, 0.0, 0.0001, 8e-05, 0.00155, 0.0, 0.00027, 0.00023, 0.00281, 0.0, 0.00119, 0.00092, 0.0102, 0.0, 0.00428, 0.00518, 0.0605, 0.00719]\n",
      "loss: 0.001816  [  168/  391] grads: [0.00117, 0.0, 0.00012, 6e-05, 0.00081, 0.0, 8e-05, 3e-05, 0.00051, 0.0, 7e-05, 1e-05, 0.00047, 0.0, 5e-05, 2e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00069, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 7e-05, 5e-05, 0.0014, 0.0, 0.00013, 8e-05, 0.00193, 0.0, 0.00035, 0.00025, 0.0034, 0.0, 0.00128, 0.00096, 0.01116, 0.0, 0.00442, 0.00534, 0.06222, 0.00753]\n",
      "Epoch 44\n",
      "-------------------------------\n",
      "loss: 0.002006  [    0/  391] grads: [0.00061, 0.0, 9e-05, 2e-05, 0.00057, 0.0, 7e-05, 2e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 4e-05, 5e-05, 0.00082, 0.0, 6e-05, 5e-05, 0.00083, 0.0, 5e-05, 3e-05, 0.00094, 0.0, 0.0001, 7e-05, 0.00141, 0.0, 0.00017, 0.00013, 0.00195, 0.0, 0.00024, 0.00022, 0.00241, 0.0, 0.00032, 0.00021, 0.00361, 0.0, 0.00357, 0.00667, 0.05402, 0.01044]\n",
      "loss: 0.001082  [   32/  391] grads: [0.00043, 0.0, 2e-05, 1e-05, 0.0002, 0.0, 1e-05, 1e-05, 0.00024, 0.0, 3e-05, 1e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 3e-05, 1e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 6e-05, 4e-05, 0.00085, 0.0, 0.00019, 0.0001, 0.00182, 0.0, 0.00035, 0.00032, 0.0047, 0.0, 0.00118, 0.00127, 0.01691, 0.00212]\n",
      "loss: 0.002600  [   64/  391] grads: [0.00043, 0.0, 3e-05, 3e-05, 0.00026, 0.0, 1e-05, 3e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 0.0001, 6e-05, 0.00109, 0.0, 0.00018, 9e-05, 0.00219, 0.0, 0.00069, 0.00043, 0.00677, 0.0, 0.00483, 0.00794, 0.07306, 0.01232]\n",
      "loss: 0.001665  [   96/  391] grads: [0.00121, 0.0, 0.00011, 7e-05, 0.00076, 0.0, 7e-05, 5e-05, 0.00048, 0.0, 6e-05, 4e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00055, 0.0, 4e-05, 2e-05, 0.00064, 0.0, 4e-05, 3e-05, 0.00077, 0.0, 7e-05, 5e-05, 0.00116, 0.0, 0.00012, 0.0001, 0.00161, 0.0, 0.00023, 0.00022, 0.00266, 0.0, 0.00124, 0.00093, 0.0101, 0.0, 0.00431, 0.00332, 0.06054, 0.00314]\n",
      "loss: 0.001067  [  128/  391] grads: [0.00023, 0.0, 1e-05, 1e-05, 0.00015, 0.0, 1e-05, 1e-05, 0.00016, 0.0, 1e-05, 1e-05, 0.0002, 0.0, 3e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 4e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00059, 0.0, 0.00011, 6e-05, 0.00118, 0.0, 0.00021, 0.00013, 0.00299, 0.0, 0.00077, 0.00089, 0.00959, 0.00147]\n",
      "loss: 0.001325  [  160/  391] grads: [0.0004, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 2e-05, 3e-05, 0.00038, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.00064, 0.0, 8e-05, 4e-05, 0.00077, 0.0, 9e-05, 6e-05, 0.00126, 0.0, 0.00024, 0.00011, 0.00225, 0.0, 0.00186, 0.00326, 0.02713, 0.0047]\n",
      "loss: 0.001881  [  192/  391] grads: [0.00052, 0.0, 0.00012, 7e-05, 0.00088, 0.0, 7e-05, 5e-05, 0.00047, 0.0, 6e-05, 5e-05, 0.00043, 0.0, 4e-05, 4e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.00055, 0.0, 6e-05, 4e-05, 0.0008, 0.0, 8e-05, 7e-05, 0.00106, 0.0, 0.00017, 0.00012, 0.00216, 0.0, 0.00084, 0.00083, 0.0077, 0.0, 0.00347, 0.00224, 0.0457, 0.00043]\n",
      "loss: 0.001685  [  224/  391] grads: [0.00086, 0.0, 8e-05, 0.00011, 0.00075, 0.0, 7e-05, 9e-05, 0.00059, 0.0, 6e-05, 8e-05, 0.00062, 0.0, 6e-05, 5e-05, 0.00069, 0.0, 5e-05, 3e-05, 0.00072, 0.0, 5e-05, 3e-05, 0.00072, 0.0, 8e-05, 5e-05, 0.00111, 0.0, 0.00012, 0.00011, 0.00143, 0.0, 0.00014, 0.00016, 0.00215, 0.0, 0.00078, 0.00076, 0.00718, 0.0, 0.00351, 0.00314, 0.04836, 0.0039]\n",
      "loss: 0.001244  [  256/  391] grads: [0.00021, 0.0, 2e-05, 3e-05, 0.00022, 0.0, 1e-05, 2e-05, 0.00028, 0.0, 1e-05, 2e-05, 0.00031, 0.0, 1e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 6e-05, 3e-05, 0.00072, 0.0, 0.0001, 5e-05, 0.0013, 0.0, 0.00025, 0.00017, 0.0031, 0.0, 0.00132, 0.00202, 0.01867, 0.00287]\n",
      "loss: 0.006959  [  288/  391] grads: [0.00206, 0.0, 0.00033, 0.00011, 0.00231, 0.0, 0.0002, 0.0001, 0.00143, 0.0, 0.00018, 8e-05, 0.00132, 0.0, 0.00014, 6e-05, 0.00135, 0.0, 0.00015, 6e-05, 0.00157, 0.0, 0.00011, 7e-05, 0.00174, 0.0, 0.00015, 0.00012, 0.00265, 0.0, 0.00027, 0.00025, 0.00362, 0.0, 0.00071, 0.00062, 0.00677, 0.0, 0.00213, 0.00211, 0.01847, 0.0, 0.01039, 0.01775, 0.14366, 0.02485]\n",
      "loss: 0.001560  [  320/  391] grads: [0.00029, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 5e-05, 4e-05, 0.0007, 0.0, 0.00011, 9e-05, 0.00128, 0.0, 0.00055, 0.00041, 0.0047, 0.0, 0.00265, 0.00232, 0.03601, 0.00256]\n",
      "loss: 0.002160  [  352/  391] grads: [0.00095, 0.0, 8e-05, 4e-05, 0.00066, 0.0, 5e-05, 5e-05, 0.00053, 0.0, 6e-05, 5e-05, 0.00059, 0.0, 5e-05, 3e-05, 0.00072, 0.0, 8e-05, 4e-05, 0.00085, 0.0, 6e-05, 3e-05, 0.00098, 0.0, 0.0001, 6e-05, 0.0014, 0.0, 0.00014, 0.00014, 0.00197, 0.0, 0.00042, 0.00038, 0.00373, 0.0, 0.00111, 0.00088, 0.00953, 0.0, 0.00554, 0.00787, 0.08068, 0.01218]\n",
      "loss: 0.001339  [  168/  391] grads: [0.00066, 0.0, 5e-05, 4e-05, 0.00048, 0.0, 3e-05, 4e-05, 0.00042, 0.0, 4e-05, 4e-05, 0.00042, 0.0, 3e-05, 3e-05, 0.00054, 0.0, 4e-05, 3e-05, 0.00068, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 6e-05, 4e-05, 0.00095, 0.0, 8e-05, 8e-05, 0.00118, 0.0, 0.00027, 0.00022, 0.00233, 0.0, 0.00093, 0.00071, 0.00767, 0.0, 0.00362, 0.00476, 0.05035, 0.00695]\n",
      "Epoch 45\n",
      "-------------------------------\n",
      "loss: 0.001106  [    0/  391] grads: [0.00046, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 1e-05, 2e-05, 0.00029, 0.0, 3e-05, 3e-05, 0.00032, 0.0, 3e-05, 3e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 7e-05, 6e-05, 0.00087, 0.0, 0.0002, 0.00016, 0.00183, 0.0, 0.00043, 0.0003, 0.00363, 0.0, 0.00211, 0.00383, 0.03021, 0.00607]\n",
      "loss: 0.001592  [   32/  391] grads: [0.00021, 0.0, 3e-05, 6e-05, 0.00026, 0.0, 2e-05, 4e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 6e-05, 5e-05, 0.00078, 0.0, 0.0001, 8e-05, 0.00103, 0.0, 0.00019, 0.00014, 0.00175, 0.0, 0.00042, 0.00026, 0.00376, 0.0, 0.00302, 0.00542, 0.04492, 0.0084]\n",
      "loss: 0.002494  [   64/  391] grads: [0.00073, 0.0, 3e-05, 0.00014, 0.00046, 0.0, 3e-05, 0.00011, 0.00043, 0.0, 2e-05, 8e-05, 0.00038, 0.0, 2e-05, 5e-05, 0.00044, 0.0, 2e-05, 3e-05, 0.00052, 0.0, 3e-05, 3e-05, 0.00058, 0.0, 4e-05, 4e-05, 0.00092, 0.0, 0.00015, 0.0001, 0.00151, 0.0, 0.0003, 0.00018, 0.00301, 0.0, 0.00099, 0.00055, 0.0078, 0.0, 0.00497, 0.00712, 0.07763, 0.01004]\n",
      "loss: 0.001608  [   96/  391] grads: [0.0011, 0.0, 6e-05, 9e-05, 0.00057, 0.0, 5e-05, 8e-05, 0.00047, 0.0, 6e-05, 7e-05, 0.00043, 0.0, 6e-05, 4e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 6e-05, 3e-05, 0.00093, 0.0, 0.0001, 8e-05, 0.00128, 0.0, 0.00019, 0.00018, 0.00197, 0.0, 0.00092, 0.00075, 0.00735, 0.0, 0.0038, 0.00256, 0.05273, 0.00135]\n",
      "loss: 0.001091  [  128/  391] grads: [0.00067, 0.0, 9e-05, 8e-05, 0.00075, 0.0, 6e-05, 6e-05, 0.00054, 0.0, 6e-05, 5e-05, 0.0005, 0.0, 7e-05, 3e-05, 0.00045, 0.0, 5e-05, 2e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 6e-05, 3e-05, 0.00083, 0.0, 8e-05, 6e-05, 0.00099, 0.0, 0.0001, 0.0001, 0.00149, 0.0, 0.00045, 0.00051, 0.00418, 0.0, 0.00224, 0.00265, 0.03124, 0.00346]\n",
      "loss: 0.001198  [  160/  391] grads: [0.00022, 0.0, 3e-05, 4e-05, 0.00029, 0.0, 1e-05, 3e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.00039, 0.0, 2e-05, 1e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 7e-05, 4e-05, 0.00079, 0.0, 0.0001, 7e-05, 0.00138, 0.0, 0.00027, 0.00011, 0.00217, 0.0, 0.00164, 0.003, 0.02354, 0.00416]\n",
      "loss: 0.001721  [  192/  391] grads: [0.00031, 0.0, 6e-05, 8e-05, 0.00059, 0.0, 5e-05, 6e-05, 0.00052, 0.0, 6e-05, 5e-05, 0.00064, 0.0, 6e-05, 5e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 7e-05, 4e-05, 0.00103, 0.0, 9e-05, 5e-05, 0.00119, 0.0, 0.00014, 7e-05, 0.00162, 0.0, 0.00049, 0.0005, 0.00483, 0.0, 0.0024, 0.00183, 0.0304, 0.00194]\n",
      "loss: 0.001862  [  224/  391] grads: [0.00158, 0.0, 0.0001, 0.00013, 0.001, 0.0, 7e-05, 0.00012, 0.00075, 0.0, 9e-05, 0.0001, 0.00074, 0.0, 0.00013, 7e-05, 0.00079, 0.0, 7e-05, 3e-05, 0.00072, 0.0, 6e-05, 3e-05, 0.00084, 0.0, 0.0001, 6e-05, 0.00138, 0.0, 0.00015, 0.00013, 0.00184, 0.0, 0.00024, 0.00026, 0.00275, 0.0, 0.00096, 0.00094, 0.00861, 0.0, 0.00469, 0.00455, 0.06317, 0.00561]\n",
      "loss: 0.001214  [  256/  391] grads: [0.00022, 0.0, 2e-05, 3e-05, 0.00021, 0.0, 1e-05, 2e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00071, 0.0, 7e-05, 4e-05, 0.00082, 0.0, 8e-05, 5e-05, 0.00106, 0.0, 0.00027, 0.0002, 0.0023, 0.0, 0.00148, 0.00268, 0.0203, 0.00388]\n",
      "loss: 0.004524  [  288/  391] grads: [0.00134, 0.0, 9e-05, 0.00011, 0.00085, 0.0, 6e-05, 0.00011, 0.00079, 0.0, 0.0001, 0.0001, 0.00091, 0.0, 0.00014, 8e-05, 0.00103, 0.0, 9e-05, 4e-05, 0.00092, 0.0, 6e-05, 5e-05, 0.00112, 0.0, 0.00014, 8e-05, 0.00196, 0.0, 0.00021, 0.00018, 0.00278, 0.0, 0.00059, 0.00044, 0.00511, 0.0, 0.00205, 0.00174, 0.01643, 0.0, 0.00874, 0.01222, 0.11506, 0.01659]\n",
      "loss: 0.001009  [  320/  391] grads: [0.00024, 0.0, 2e-05, 1e-05, 0.00021, 0.0, 1e-05, 1e-05, 0.00036, 0.0, 2e-05, 1e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 2e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00091, 0.0, 7e-05, 4e-05, 0.00094, 0.0, 9e-05, 4e-05, 0.00106, 0.0, 0.00021, 8e-05, 0.0019, 0.0, 0.00095, 0.00157, 0.01376, 0.00222]\n",
      "loss: 0.001857  [  352/  391] grads: [0.00044, 0.0, 4e-05, 6e-05, 0.00044, 0.0, 3e-05, 6e-05, 0.00058, 0.0, 6e-05, 7e-05, 0.00063, 0.0, 0.0001, 7e-05, 0.00082, 0.0, 6e-05, 3e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 8e-05, 5e-05, 0.00135, 0.0, 0.00012, 0.00012, 0.0018, 0.0, 0.00039, 0.00034, 0.0035, 0.0, 0.00141, 0.00113, 0.0111, 0.0, 0.00523, 0.00703, 0.07123, 0.0099]\n",
      "loss: 0.002018  [  168/  391] grads: [0.00248, 0.0, 0.00029, 0.00014, 0.00201, 0.0, 0.00017, 0.00013, 0.00156, 0.0, 0.00015, 0.00012, 0.00156, 0.0, 0.00014, 0.00014, 0.00217, 0.0, 0.00017, 0.00013, 0.00219, 0.0, 0.00014, 8e-05, 0.00229, 0.0, 0.00022, 0.00014, 0.0029, 0.0, 0.00028, 0.00022, 0.00297, 0.0, 0.00024, 0.00033, 0.00318, 0.0, 0.00061, 0.00055, 0.00533, 0.0, 0.00414, 0.0081, 0.06066, 0.01199]\n",
      "Epoch 46\n",
      "-------------------------------\n",
      "loss: 0.001058  [    0/  391] grads: [0.00063, 0.0, 3e-05, 1e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 3e-05, 2e-05, 0.00069, 0.0, 5e-05, 3e-05, 0.00111, 0.0, 8e-05, 5e-05, 0.00111, 0.0, 0.00015, 0.0001, 0.00133, 0.0, 0.00027, 0.00016, 0.00242, 0.0, 0.00155, 0.00273, 0.02219, 0.00419]\n",
      "loss: 0.001133  [   32/  391] grads: [0.00056, 0.0, 2e-05, 2e-05, 0.00019, 0.0, 1e-05, 2e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.00021, 0.0, 3e-05, 2e-05, 0.00027, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 6e-05, 6e-05, 0.00078, 0.0, 0.0002, 0.00014, 0.00168, 0.0, 0.0004, 0.00027, 0.00364, 0.0, 0.00237, 0.00449, 0.03249, 0.00683]\n",
      "loss: 0.001476  [   64/  391] grads: [0.00064, 0.0, 1e-05, 5e-05, 0.00028, 0.0, 2e-05, 3e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 2e-05, 2e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 5e-05, 4e-05, 0.00095, 0.0, 8e-05, 7e-05, 0.00122, 0.0, 0.00017, 0.00011, 0.00165, 0.0, 0.00036, 0.0002, 0.0034, 0.0, 0.00259, 0.00467, 0.03689, 0.00684]\n",
      "loss: 0.001741  [   96/  391] grads: [0.0014, 0.0, 0.00016, 6e-05, 0.00105, 0.0, 0.0001, 5e-05, 0.00063, 0.0, 9e-05, 3e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 8e-05, 4e-05, 0.00073, 0.0, 5e-05, 4e-05, 0.00086, 0.0, 7e-05, 6e-05, 0.00124, 0.0, 0.00011, 0.0001, 0.00156, 0.0, 0.00028, 0.00026, 0.00276, 0.0, 0.00087, 0.00075, 0.00712, 0.0, 0.00358, 0.00559, 0.05067, 0.00745]\n",
      "loss: 0.001119  [  128/  391] grads: [0.00033, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 3e-05, 1e-05, 0.00049, 0.0, 5e-05, 2e-05, 0.00046, 0.0, 3e-05, 1e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 6e-05, 3e-05, 0.00089, 0.0, 8e-05, 4e-05, 0.00095, 0.0, 0.0001, 5e-05, 0.00119, 0.0, 0.00021, 0.00011, 0.00248, 0.0, 0.00051, 0.00053, 0.00744, 0.00084]\n",
      "loss: 0.001512  [  160/  391] grads: [0.00055, 0.0, 5e-05, 4e-05, 0.00034, 0.0, 3e-05, 4e-05, 0.00024, 0.0, 4e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 3e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00045, 0.0, 4e-05, 4e-05, 0.00063, 0.0, 7e-05, 8e-05, 0.00084, 0.0, 0.00015, 0.00015, 0.00133, 0.0, 0.00019, 0.00013, 0.00179, 0.0, 0.00244, 0.00477, 0.03401, 0.00662]\n",
      "loss: 0.001732  [  192/  391] grads: [0.00068, 0.0, 0.0001, 7e-05, 0.00087, 0.0, 6e-05, 6e-05, 0.00051, 0.0, 6e-05, 4e-05, 0.00046, 0.0, 4e-05, 4e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 6e-05, 3e-05, 0.00086, 0.0, 7e-05, 6e-05, 0.00104, 0.0, 0.00017, 0.00011, 0.00185, 0.0, 0.00078, 0.00077, 0.0065, 0.0, 0.00331, 0.00214, 0.04277, 7e-05]\n",
      "loss: 0.001577  [  224/  391] grads: [0.00146, 0.0, 0.0001, 0.00013, 0.00096, 0.0, 7e-05, 0.00011, 0.00069, 0.0, 8e-05, 0.0001, 0.00061, 0.0, 9e-05, 7e-05, 0.00062, 0.0, 6e-05, 3e-05, 0.00066, 0.0, 4e-05, 2e-05, 0.00069, 0.0, 7e-05, 4e-05, 0.00103, 0.0, 9e-05, 0.0001, 0.00148, 0.0, 0.00021, 0.0002, 0.00232, 0.0, 0.00092, 0.00089, 0.00804, 0.0, 0.00432, 0.00366, 0.05742, 0.00404]\n",
      "loss: 0.001264  [  256/  391] grads: [0.00054, 0.0, 1e-05, 4e-05, 0.00021, 0.0, 1e-05, 3e-05, 0.00025, 0.0, 2e-05, 3e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 9e-05, 5e-05, 0.00085, 0.0, 0.00012, 8e-05, 0.00133, 0.0, 0.00051, 0.00033, 0.00387, 0.0, 0.00191, 0.00157, 0.02531, 0.00135]\n",
      "loss: 0.002601  [  288/  391] grads: [0.00128, 0.0, 0.0001, 0.00011, 0.00085, 0.0, 8e-05, 9e-05, 0.00062, 0.0, 8e-05, 8e-05, 0.00064, 0.0, 9e-05, 7e-05, 0.00074, 0.0, 7e-05, 3e-05, 0.00069, 0.0, 5e-05, 4e-05, 0.00085, 0.0, 8e-05, 5e-05, 0.00142, 0.0, 0.00012, 0.00012, 0.00191, 0.0, 0.0004, 0.0003, 0.00355, 0.0, 0.00127, 0.00103, 0.01117, 0.0, 0.00606, 0.00736, 0.07991, 0.01018]\n",
      "loss: 0.001325  [  320/  391] grads: [0.00045, 0.0, 6e-05, 3e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00036, 0.0, 5e-05, 2e-05, 0.00045, 0.0, 4e-05, 1e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 7e-05, 5e-05, 0.00083, 0.0, 0.00012, 8e-05, 0.00134, 0.0, 0.00031, 0.00012, 0.00239, 0.0, 0.00196, 0.00373, 0.02911, 0.00541]\n",
      "loss: 0.001868  [  352/  391] grads: [0.00174, 0.0, 7e-05, 0.0001, 0.00077, 0.0, 4e-05, 8e-05, 0.00069, 0.0, 7e-05, 8e-05, 0.00064, 0.0, 9e-05, 7e-05, 0.00076, 0.0, 8e-05, 4e-05, 0.00079, 0.0, 5e-05, 3e-05, 0.00089, 0.0, 9e-05, 6e-05, 0.00142, 0.0, 0.0001, 0.00012, 0.00184, 0.0, 0.00039, 0.00032, 0.00338, 0.0, 0.00132, 0.00106, 0.01083, 0.0, 0.00535, 0.00682, 0.07406, 0.00983]\n",
      "loss: 0.001769  [  168/  391] grads: [0.00041, 0.0, 3e-05, 0.00011, 0.00054, 0.0, 2e-05, 9e-05, 0.00058, 0.0, 6e-05, 9e-05, 0.00054, 0.0, 7e-05, 6e-05, 0.00057, 0.0, 5e-05, 3e-05, 0.0006, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.0009, 0.0, 9e-05, 0.0001, 0.00137, 0.0, 0.00038, 0.0003, 0.00314, 0.0, 0.00117, 0.00087, 0.00966, 0.0, 0.00469, 0.00672, 0.06492, 0.01014]\n",
      "Epoch 47\n",
      "-------------------------------\n",
      "loss: 0.001176  [    0/  391] grads: [0.00046, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 3e-05, 1e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 4e-05, 3e-05, 0.00051, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00071, 0.0, 7e-05, 4e-05, 0.00118, 0.0, 9e-05, 5e-05, 0.00124, 0.0, 0.00011, 6e-05, 0.00142, 0.0, 0.00032, 0.00023, 0.00403, 0.0, 0.00177, 0.00264, 0.02419, 0.00435]\n",
      "loss: 0.001538  [   32/  391] grads: [0.00012, 0.0, 2e-05, 2e-05, 0.0002, 0.0, 2e-05, 1e-05, 0.00019, 0.0, 2e-05, 1e-05, 0.00024, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00044, 0.0, 5e-05, 3e-05, 0.00063, 0.0, 7e-05, 5e-05, 0.00084, 0.0, 0.00017, 0.0001, 0.00167, 0.0, 0.00047, 0.00029, 0.0047, 0.0, 0.00321, 0.00534, 0.0467, 0.00847]\n",
      "loss: 0.002907  [   64/  391] grads: [0.00057, 0.0, 5e-05, 7e-05, 0.0005, 0.0, 4e-05, 6e-05, 0.00045, 0.0, 3e-05, 5e-05, 0.00064, 0.0, 5e-05, 4e-05, 0.0007, 0.0, 5e-05, 4e-05, 0.00078, 0.0, 4e-05, 3e-05, 0.00085, 0.0, 8e-05, 6e-05, 0.00119, 0.0, 0.00013, 0.0001, 0.00148, 0.0, 0.00024, 0.00017, 0.00268, 0.0, 0.00091, 0.00048, 0.00664, 0.0, 0.00552, 0.0092, 0.08293, 0.01368]\n",
      "loss: 0.001556  [   96/  391] grads: [0.00046, 0.0, 4e-05, 7e-05, 0.00042, 0.0, 2e-05, 6e-05, 0.0004, 0.0, 5e-05, 6e-05, 0.00042, 0.0, 5e-05, 4e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00091, 0.0, 0.00011, 9e-05, 0.00137, 0.0, 0.00025, 0.00021, 0.00234, 0.0, 0.00109, 0.0008, 0.00834, 0.0, 0.00392, 0.00266, 0.05264, 0.0017]\n",
      "loss: 0.001130  [  128/  391] grads: [0.00062, 0.0, 6e-05, 5e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00044, 0.0, 7e-05, 4e-05, 0.00064, 0.0, 8e-05, 4e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 8e-05, 4e-05, 0.00107, 0.0, 8e-05, 6e-05, 0.0011, 0.0, 0.00011, 7e-05, 0.00149, 0.0, 0.00031, 0.00044, 0.0035, 0.0, 0.00163, 0.00238, 0.02467, 0.00315]\n",
      "loss: 0.000986  [  160/  391] grads: [0.00019, 0.0, 2e-05, 2e-05, 0.00017, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 1e-05, 1e-05, 0.00022, 0.0, 2e-05, 1e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00064, 0.0, 7e-05, 4e-05, 0.00094, 0.0, 0.00013, 8e-05, 0.00183, 0.0, 0.00032, 0.00017, 0.00252, 0.0, 0.00064, 0.00106, 0.00996, 0.00151]\n",
      "loss: 0.001323  [  192/  391] grads: [0.00051, 0.0, 4e-05, 6e-05, 0.00043, 0.0, 3e-05, 5e-05, 0.00047, 0.0, 4e-05, 4e-05, 0.00058, 0.0, 3e-05, 3e-05, 0.00044, 0.0, 2e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.00088, 0.0, 6e-05, 5e-05, 0.00102, 0.0, 8e-05, 9e-05, 0.00118, 0.0, 0.00048, 0.00044, 0.00415, 0.0, 0.00202, 0.00125, 0.02532, 0.00022]\n",
      "loss: 0.001599  [  224/  391] grads: [0.00054, 0.0, 4e-05, 6e-05, 0.00044, 0.0, 4e-05, 5e-05, 0.00042, 0.0, 6e-05, 5e-05, 0.00047, 0.0, 6e-05, 4e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.0008, 0.0, 7e-05, 6e-05, 0.00104, 0.0, 0.0002, 0.00017, 0.00192, 0.0, 0.00092, 0.0007, 0.00705, 0.0, 0.00354, 0.00224, 0.04452, 0.00089]\n",
      "loss: 0.001605  [  256/  391] grads: [0.00038, 0.0, 3e-05, 3e-05, 0.00035, 0.0, 2e-05, 3e-05, 0.00032, 0.0, 2e-05, 3e-05, 0.0003, 0.0, 1e-05, 2e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00044, 0.0, 3e-05, 1e-05, 0.00056, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 6e-05, 5e-05, 0.00073, 0.0, 0.00015, 0.0001, 0.00136, 0.0, 0.00047, 0.00031, 0.00454, 0.0, 0.00267, 0.00466, 0.03424, 0.00664]\n",
      "loss: 0.003837  [  288/  391] grads: [0.00057, 0.0, 5e-05, 0.00015, 0.00076, 0.0, 3e-05, 0.00013, 0.00079, 0.0, 8e-05, 0.00013, 0.00094, 0.0, 0.00012, 9e-05, 0.00102, 0.0, 7e-05, 4e-05, 0.00096, 0.0, 6e-05, 3e-05, 0.001, 0.0, 9e-05, 5e-05, 0.00151, 0.0, 0.00015, 0.00014, 0.00205, 0.0, 0.0005, 0.00039, 0.00429, 0.0, 0.00187, 0.00147, 0.01478, 0.0, 0.00755, 0.01093, 0.09522, 0.0152]\n",
      "loss: 0.001569  [  320/  391] grads: [0.00012, 0.0, 3e-05, 7e-05, 0.00031, 0.0, 3e-05, 5e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 9e-05, 5e-05, 0.00094, 0.0, 0.00021, 0.00015, 0.00203, 0.0, 0.00099, 0.00064, 0.00697, 0.0, 0.00322, 0.00234, 0.04226, 0.00121]\n",
      "loss: 0.002172  [  352/  391] grads: [0.00056, 0.0, 8e-05, 0.00013, 0.00084, 0.0, 6e-05, 0.00011, 0.00072, 0.0, 7e-05, 0.0001, 0.00083, 0.0, 7e-05, 6e-05, 0.00113, 0.0, 9e-05, 4e-05, 0.00118, 0.0, 8e-05, 3e-05, 0.00123, 0.0, 0.0001, 5e-05, 0.00161, 0.0, 0.00015, 0.00015, 0.002, 0.0, 0.00035, 0.00033, 0.0035, 0.0, 0.0017, 0.00142, 0.01285, 0.0, 0.00618, 0.00791, 0.08157, 0.01133]\n",
      "loss: 0.001456  [  168/  391] grads: [0.00034, 0.0, 3e-05, 8e-05, 0.00042, 0.0, 2e-05, 7e-05, 0.0005, 0.0, 3e-05, 6e-05, 0.00051, 0.0, 4e-05, 3e-05, 0.00061, 0.0, 4e-05, 2e-05, 0.00078, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 6e-05, 4e-05, 0.00101, 0.0, 9e-05, 7e-05, 0.00124, 0.0, 0.0003, 0.00024, 0.00265, 0.0, 0.00105, 0.00071, 0.00855, 0.0, 0.00349, 0.00533, 0.04503, 0.00811]\n",
      "Epoch 48\n",
      "-------------------------------\n",
      "loss: 0.001045  [    0/  391] grads: [0.00029, 0.0, 2e-05, 1e-05, 0.00023, 0.0, 1e-05, 1e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 2e-05, 1e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 5e-05, 3e-05, 0.00093, 0.0, 8e-05, 5e-05, 0.0011, 0.0, 0.00023, 0.00014, 0.00213, 0.0, 0.00065, 0.0004, 0.0054, 0.0, 0.00173, 0.00274, 0.02152, 0.00429]\n",
      "loss: 0.000959  [   32/  391] grads: [0.00016, 0.0, 2e-05, 2e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 6e-05, 4e-05, 0.00101, 0.0, 0.00012, 8e-05, 0.00143, 0.0, 0.00018, 0.00012, 0.00173, 0.0, 0.00056, 0.00049, 0.00444, 0.0, 0.00154, 0.00156, 0.02131, 0.00221]\n",
      "loss: 0.002106  [   64/  391] grads: [0.00072, 0.0, 3e-05, 8e-05, 0.00039, 0.0, 3e-05, 6e-05, 0.00038, 0.0, 4e-05, 4e-05, 0.00034, 0.0, 4e-05, 3e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 6e-05, 4e-05, 0.00086, 0.0, 0.00013, 0.0001, 0.00144, 0.0, 0.00032, 0.00019, 0.00329, 0.0, 0.00121, 0.00076, 0.00806, 0.0, 0.00419, 0.00595, 0.06235, 0.00828]\n",
      "loss: 0.001287  [   96/  391] grads: [0.00013, 0.0, 2e-05, 5e-05, 0.00029, 0.0, 1e-05, 4e-05, 0.00027, 0.0, 1e-05, 2e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 7e-05, 5e-05, 0.00096, 0.0, 0.00016, 0.00011, 0.00174, 0.0, 0.00079, 0.00055, 0.00564, 0.0, 0.00233, 0.00157, 0.0315, 0.0006]\n",
      "loss: 0.001129  [  128/  391] grads: [0.00048, 0.0, 4e-05, 3e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00029, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.0006, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 0.00013, 5e-05, 0.00128, 0.0, 0.00016, 0.00025, 0.00247, 0.0, 0.00144, 0.00241, 0.0235, 0.00347]\n",
      "loss: 0.001134  [  160/  391] grads: [0.00067, 0.0, 5e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00028, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 4e-05, 3e-05, 0.00037, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 8e-05, 4e-05, 0.00106, 0.0, 0.00012, 6e-05, 0.00141, 0.0, 0.00021, 0.00013, 0.00241, 0.0, 0.0003, 0.00019, 0.00315, 0.0, 0.0012, 0.00212, 0.01861, 0.00282]\n",
      "loss: 0.001462  [  192/  391] grads: [0.00048, 0.0, 7e-05, 9e-05, 0.00064, 0.0, 6e-05, 8e-05, 0.00055, 0.0, 7e-05, 7e-05, 0.00055, 0.0, 6e-05, 5e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.00058, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 7e-05, 4e-05, 0.00113, 0.0, 0.00011, 0.0001, 0.00137, 0.0, 0.00017, 0.00015, 0.00208, 0.0, 0.0008, 0.00078, 0.00673, 0.0, 0.00326, 0.00288, 0.04591, 0.00311]\n",
      "loss: 0.001712  [  224/  391] grads: [0.00068, 0.0, 7e-05, 6e-05, 0.00057, 0.0, 4e-05, 5e-05, 0.00044, 0.0, 3e-05, 4e-05, 0.00036, 0.0, 3e-05, 3e-05, 0.00042, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 7e-05, 4e-05, 0.001, 0.0, 0.00012, 8e-05, 0.00135, 0.0, 0.00021, 0.00016, 0.00233, 0.0, 0.00106, 0.00092, 0.0082, 0.0, 0.00404, 0.00294, 0.05211, 0.00231]\n",
      "loss: 0.001033  [  256/  391] grads: [0.00013, 0.0, 2e-05, 1e-05, 0.00021, 0.0, 2e-05, 1e-05, 0.00024, 0.0, 3e-05, 2e-05, 0.00029, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 5e-05, 4e-05, 0.0006, 0.0, 6e-05, 3e-05, 0.00075, 0.0, 0.00019, 0.00014, 0.00207, 0.0, 0.00077, 0.00092, 0.01018, 0.0013]\n",
      "loss: 0.004209  [  288/  391] grads: [0.00065, 0.0, 5e-05, 0.00026, 0.00103, 0.0, 5e-05, 0.00021, 0.001, 0.0, 4e-05, 0.00014, 0.00085, 0.0, 7e-05, 9e-05, 0.00092, 0.0, 7e-05, 5e-05, 0.00092, 0.0, 8e-05, 5e-05, 0.00113, 0.0, 0.00013, 7e-05, 0.0019, 0.0, 0.00025, 0.00019, 0.00307, 0.0, 0.00064, 0.00052, 0.00581, 0.0, 0.00234, 0.00171, 0.01931, 0.0, 0.0098, 0.00757, 0.12319, 0.0086]\n",
      "loss: 0.001581  [  320/  391] grads: [0.00061, 0.0, 4e-05, 3e-05, 0.00035, 0.0, 4e-05, 3e-05, 0.00037, 0.0, 6e-05, 4e-05, 0.00044, 0.0, 6e-05, 3e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 0.0001, 7e-05, 0.00093, 0.0, 0.00017, 0.00012, 0.00175, 0.0, 0.00062, 0.00027, 0.00431, 0.0, 0.00266, 0.00418, 0.03939, 0.00525]\n",
      "loss: 0.002462  [  352/  391] grads: [0.00037, 0.0, 3e-05, 0.00013, 0.0006, 0.0, 3e-05, 0.00011, 0.00054, 0.0, 2e-05, 8e-05, 0.00047, 0.0, 4e-05, 5e-05, 0.0006, 0.0, 5e-05, 3e-05, 0.00068, 0.0, 6e-05, 3e-05, 0.00093, 0.0, 0.00011, 6e-05, 0.00144, 0.0, 0.00019, 0.00014, 0.00205, 0.0, 0.00053, 0.00039, 0.00431, 0.0, 0.00184, 0.00136, 0.01399, 0.0, 0.00652, 0.0072, 0.08368, 0.01027]\n",
      "loss: 0.000930  [  168/  391] grads: [0.00064, 0.0, 3e-05, 3e-05, 0.0004, 0.0, 3e-05, 3e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00076, 0.0, 8e-05, 4e-05, 0.0009, 0.0, 0.00021, 0.00012, 0.00177, 0.0, 0.00059, 0.00031, 0.00526, 0.0, 0.00168, 0.00156, 0.02206, 0.00243]\n",
      "Epoch 49\n",
      "-------------------------------\n",
      "loss: 0.001578  [    0/  391] grads: [0.00029, 0.0, 3e-05, 7e-05, 0.00039, 0.0, 2e-05, 6e-05, 0.00041, 0.0, 2e-05, 5e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 4e-05, 3e-05, 0.00081, 0.0, 9e-05, 8e-05, 0.0012, 0.0, 0.00034, 0.00026, 0.00275, 0.0, 0.00121, 0.00088, 0.00912, 0.0, 0.00435, 0.00499, 0.05561, 0.00704]\n",
      "loss: 0.000944  [   32/  391] grads: [0.00018, 0.0, 1e-05, 1e-05, 0.00016, 0.0, 1e-05, 1e-05, 0.00024, 0.0, 3e-05, 2e-05, 0.00027, 0.0, 3e-05, 2e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 4e-05, 0.00072, 0.0, 0.00018, 0.00012, 0.00147, 0.0, 0.00033, 0.00012, 0.00241, 0.0, 0.00179, 0.00339, 0.02504, 0.00511]\n",
      "loss: 0.002268  [   64/  391] grads: [0.00082, 0.0, 3e-05, 0.0001, 0.00041, 0.0, 3e-05, 8e-05, 0.0004, 0.0, 3e-05, 5e-05, 0.00036, 0.0, 3e-05, 4e-05, 0.00038, 0.0, 3e-05, 3e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 0.00013, 9e-05, 0.00148, 0.0, 0.00033, 0.00018, 0.00305, 0.0, 0.00102, 0.00048, 0.00652, 0.0, 0.00446, 0.00741, 0.06487, 0.01044]\n",
      "loss: 0.001689  [   96/  391] grads: [0.00053, 0.0, 5e-05, 0.0001, 0.00057, 0.0, 4e-05, 9e-05, 0.0005, 0.0, 4e-05, 7e-05, 0.00045, 0.0, 4e-05, 4e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 7e-05, 4e-05, 0.0012, 0.0, 0.00014, 0.00011, 0.00165, 0.0, 0.00026, 0.00019, 0.00255, 0.0, 0.00116, 0.00083, 0.00833, 0.0, 0.00432, 0.0028, 0.05572, 0.00061]\n",
      "loss: 0.001067  [  128/  391] grads: [0.00054, 0.0, 2e-05, 1e-05, 0.00021, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 3e-05, 1e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.0008, 0.0, 8e-05, 4e-05, 0.00094, 0.0, 0.00012, 7e-05, 0.00156, 0.0, 0.00023, 0.00019, 0.0027, 0.0, 0.00062, 0.00112, 0.01155, 0.00143]\n",
      "loss: 0.000803  [  160/  391] grads: [0.00063, 0.0, 4e-05, 1e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.00026, 0.0, 3e-05, 1e-05, 0.00027, 0.0, 3e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 3e-05, 1e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 7e-05, 5e-05, 0.00076, 0.0, 0.00023, 0.0002, 0.00196, 0.0, 0.00111, 0.00151, 0.01524, 0.00201]\n",
      "loss: 0.001367  [  192/  391] grads: [0.0004, 0.0, 5e-05, 9e-05, 0.00054, 0.0, 3e-05, 7e-05, 0.00038, 0.0, 3e-05, 5e-05, 0.00039, 0.0, 5e-05, 3e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00088, 0.0, 8e-05, 7e-05, 0.00109, 0.0, 0.00012, 9e-05, 0.00156, 0.0, 0.00072, 0.00066, 0.00546, 0.0, 0.00279, 0.00194, 0.03491, 0.00135]\n",
      "loss: 0.001788  [  224/  391] grads: [0.00096, 0.0, 8e-05, 0.00011, 0.00073, 0.0, 5e-05, 9e-05, 0.00051, 0.0, 5e-05, 7e-05, 0.00052, 0.0, 5e-05, 4e-05, 0.00052, 0.0, 5e-05, 2e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 6e-05, 4e-05, 0.0011, 0.0, 0.00014, 0.00012, 0.00161, 0.0, 0.00025, 0.00023, 0.00275, 0.0, 0.00135, 0.00106, 0.01, 0.0, 0.00511, 0.00444, 0.06244, 0.00532]\n",
      "loss: 0.001456  [  256/  391] grads: [0.0006, 0.0, 4e-05, 4e-05, 0.00033, 0.0, 3e-05, 3e-05, 0.00031, 0.0, 4e-05, 3e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 7e-05, 4e-05, 0.00073, 0.0, 0.00011, 5e-05, 0.00148, 0.0, 0.00045, 0.00024, 0.0031, 0.0, 0.00228, 0.00295, 0.0293, 0.00375]\n",
      "loss: 0.006050  [  288/  391] grads: [0.00251, 0.0, 0.00027, 8e-05, 0.00185, 0.0, 0.00018, 6e-05, 0.0012, 0.0, 0.00016, 4e-05, 0.00108, 0.0, 0.0001, 4e-05, 0.00122, 0.0, 0.00011, 5e-05, 0.0011, 0.0, 8e-05, 4e-05, 0.00131, 0.0, 0.00013, 0.0001, 0.00234, 0.0, 0.00022, 0.00019, 0.00351, 0.0, 0.00066, 0.00051, 0.00616, 0.0, 0.00236, 0.00204, 0.01844, 0.0, 0.00953, 0.01635, 0.12434, 0.02247]\n",
      "loss: 0.001484  [  320/  391] grads: [0.00067, 0.0, 6e-05, 3e-05, 0.00054, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 2e-05, 0.00058, 0.0, 6e-05, 2e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00068, 0.0, 6e-05, 4e-05, 0.00094, 0.0, 8e-05, 4e-05, 0.00103, 0.0, 0.00012, 7e-05, 0.00167, 0.0, 0.00043, 0.00043, 0.00532, 0.0, 0.00227, 0.00172, 0.03047, 0.00203]\n",
      "loss: 0.001826  [  352/  391] grads: [0.0013, 0.0, 8e-05, 6e-05, 0.00069, 0.0, 5e-05, 5e-05, 0.00064, 0.0, 7e-05, 4e-05, 0.0007, 0.0, 7e-05, 4e-05, 0.00083, 0.0, 8e-05, 4e-05, 0.00085, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 8e-05, 5e-05, 0.00128, 0.0, 0.00011, 0.0001, 0.0016, 0.0, 0.00025, 0.00021, 0.00248, 0.0, 0.00106, 0.00096, 0.00926, 0.0, 0.00458, 0.00583, 0.06252, 0.00766]\n",
      "loss: 0.001372  [  168/  391] grads: [0.00033, 0.0, 4e-05, 1e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00047, 0.0, 4e-05, 3e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.00062, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 4e-05, 3e-05, 0.00077, 0.0, 7e-05, 5e-05, 0.0011, 0.0, 0.00013, 0.0001, 0.00136, 0.0, 0.00026, 0.00021, 0.00205, 0.0, 0.00066, 0.00045, 0.00535, 0.0, 0.00295, 0.00454, 0.03898, 0.00677]\n",
      "Epoch 50\n",
      "-------------------------------\n",
      "loss: 0.001137  [    0/  391] grads: [0.00031, 0.0, 5e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 3e-05, 3e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 2e-05, 1e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 9e-05, 6e-05, 0.00104, 0.0, 0.00029, 0.00017, 0.00221, 0.0, 0.00078, 0.00047, 0.00597, 0.0, 0.00223, 0.00286, 0.02875, 0.00407]\n",
      "loss: 0.001164  [   32/  391] grads: [0.00046, 0.0, 5e-05, 1e-05, 0.00041, 0.0, 4e-05, 1e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 5e-05, 3e-05, 0.00069, 0.0, 8e-05, 5e-05, 0.00094, 0.0, 0.00023, 0.00013, 0.00189, 0.0, 0.00052, 0.00032, 0.00532, 0.0, 0.00227, 0.00401, 0.02881, 0.00647]\n",
      "loss: 0.002615  [   64/  391] grads: [0.00071, 0.0, 7e-05, 3e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.0005, 0.0, 5e-05, 2e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 6e-05, 4e-05, 0.00058, 0.0, 3e-05, 2e-05, 0.00062, 0.0, 7e-05, 5e-05, 0.00099, 0.0, 0.00011, 0.0001, 0.0014, 0.0, 0.00022, 0.00018, 0.00241, 0.0, 0.00065, 0.00045, 0.00603, 0.0, 0.00536, 0.00968, 0.07361, 0.01473]\n",
      "loss: 0.001757  [   96/  391] grads: [0.0006, 0.0, 2e-05, 4e-05, 0.00037, 0.0, 2e-05, 3e-05, 0.00049, 0.0, 4e-05, 5e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 5e-05, 3e-05, 0.00092, 0.0, 0.0001, 8e-05, 0.0013, 0.0, 0.00027, 0.00022, 0.00237, 0.0, 0.00099, 0.00075, 0.00759, 0.0, 0.00404, 0.00271, 0.05287, 0.00182]\n",
      "loss: 0.001186  [  128/  391] grads: [0.00062, 0.0, 7e-05, 4e-05, 0.0006, 0.0, 6e-05, 4e-05, 0.00049, 0.0, 7e-05, 4e-05, 0.00049, 0.0, 6e-05, 3e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 9e-05, 4e-05, 0.00116, 0.0, 0.00018, 7e-05, 0.00173, 0.0, 0.00029, 0.00032, 0.00328, 0.0, 0.00186, 0.00328, 0.02939, 0.00462]\n",
      "loss: 0.001174  [  160/  391] grads: [0.0003, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00063, 0.0, 5e-05, 4e-05, 0.00067, 0.0, 0.00012, 9e-05, 0.0011, 0.0, 0.00037, 0.00023, 0.00337, 0.0, 0.00183, 0.00306, 0.02258, 0.00448]\n",
      "loss: 0.001192  [  192/  391] grads: [0.00042, 0.0, 6e-05, 3e-05, 0.00054, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 6e-05, 3e-05, 0.00059, 0.0, 7e-05, 3e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00061, 0.0, 7e-05, 4e-05, 0.00087, 0.0, 7e-05, 4e-05, 0.00084, 0.0, 0.00012, 5e-05, 0.00125, 0.0, 0.00026, 0.00028, 0.00347, 0.0, 0.00132, 0.00147, 0.01629, 0.00211]\n",
      "loss: 0.001376  [  224/  391] grads: [0.00075, 0.0, 8e-05, 6e-05, 0.00064, 0.0, 6e-05, 5e-05, 0.00043, 0.0, 6e-05, 5e-05, 0.00041, 0.0, 5e-05, 3e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 7e-05, 7e-05, 0.00103, 0.0, 0.0002, 0.00017, 0.00199, 0.0, 0.00076, 0.00065, 0.00595, 0.0, 0.00339, 0.0028, 0.04295, 0.00303]\n",
      "loss: 0.001231  [  256/  391] grads: [0.00032, 0.0, 2e-05, 5e-05, 0.00032, 0.0, 2e-05, 4e-05, 0.00043, 0.0, 2e-05, 3e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00042, 0.0, 3e-05, 1e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 7e-05, 4e-05, 0.00098, 0.0, 0.00011, 5e-05, 0.00141, 0.0, 0.00039, 0.00035, 0.0034, 0.0, 0.00151, 0.00153, 0.02173, 0.0019]\n",
      "loss: 0.004016  [  288/  391] grads: [0.00086, 0.0, 8e-05, 0.00018, 0.00093, 0.0, 7e-05, 0.00015, 0.00091, 0.0, 9e-05, 0.00013, 0.00087, 0.0, 0.00013, 9e-05, 0.0009, 0.0, 9e-05, 4e-05, 0.00079, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 0.0001, 6e-05, 0.00162, 0.0, 0.00018, 0.00015, 0.00227, 0.0, 0.0004, 0.00034, 0.00396, 0.0, 0.00185, 0.0016, 0.01433, 0.0, 0.0084, 0.01095, 0.10816, 0.01501]\n",
      "loss: 0.001257  [  320/  391] grads: [0.00017, 0.0, 2e-05, 6e-05, 0.0003, 0.0, 2e-05, 5e-05, 0.00028, 0.0, 2e-05, 4e-05, 0.00029, 0.0, 3e-05, 3e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 6e-05, 4e-05, 0.00084, 0.0, 0.00017, 0.00013, 0.00179, 0.0, 0.00067, 0.0005, 0.00498, 0.0, 0.00261, 0.00171, 0.03296, 0.0006]\n",
      "loss: 0.002473  [  352/  391] grads: [0.00098, 0.0, 6e-05, 0.00015, 0.00082, 0.0, 5e-05, 0.00015, 0.00087, 0.0, 7e-05, 0.00013, 0.00082, 0.0, 0.00011, 8e-05, 0.00082, 0.0, 7e-05, 4e-05, 0.00093, 0.0, 7e-05, 4e-05, 0.00109, 0.0, 0.0001, 7e-05, 0.00159, 0.0, 0.00018, 0.00017, 0.00211, 0.0, 0.00035, 0.00036, 0.00343, 0.0, 0.00132, 0.00122, 0.01064, 0.0, 0.0062, 0.0087, 0.08428, 0.01272]\n",
      "loss: 0.002746  [  168/  391] grads: [0.00215, 0.0, 0.00017, 7e-05, 0.00122, 0.0, 0.00014, 5e-05, 0.00103, 0.0, 0.00014, 4e-05, 0.00093, 0.0, 0.00013, 5e-05, 0.00103, 0.0, 0.00012, 6e-05, 0.00113, 0.0, 7e-05, 4e-05, 0.00133, 0.0, 0.00012, 8e-05, 0.00187, 0.0, 0.00023, 0.0002, 0.0026, 0.0, 0.00049, 0.0004, 0.00438, 0.0, 0.00149, 0.00126, 0.01241, 0.0, 0.00672, 0.00852, 0.0893, 0.01221]\n",
      "Epoch 51\n",
      "-------------------------------\n",
      "loss: 0.000928  [    0/  391] grads: [0.00043, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 3e-05, 1e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00055, 0.0, 6e-05, 3e-05, 0.00073, 0.0, 0.00019, 0.0001, 0.00156, 0.0, 0.00043, 0.00023, 0.00388, 0.0, 0.00131, 0.00148, 0.01645, 0.0023]\n",
      "loss: 0.001027  [   32/  391] grads: [0.00041, 0.0, 4e-05, 1e-05, 0.00032, 0.0, 4e-05, 2e-05, 0.00033, 0.0, 4e-05, 1e-05, 0.00033, 0.0, 4e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00045, 0.0, 5e-05, 3e-05, 0.00063, 0.0, 7e-05, 4e-05, 0.00084, 0.0, 0.00016, 0.0001, 0.00164, 0.0, 0.00045, 0.00036, 0.00508, 0.0, 0.00157, 0.00197, 0.02008, 0.00324]\n",
      "loss: 0.001604  [   64/  391] grads: [0.00065, 0.0, 3e-05, 3e-05, 0.00028, 0.0, 2e-05, 3e-05, 0.00031, 0.0, 4e-05, 2e-05, 0.00031, 0.0, 3e-05, 1e-05, 0.00034, 0.0, 4e-05, 2e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00069, 0.0, 6e-05, 6e-05, 0.0008, 0.0, 0.00012, 9e-05, 0.00122, 0.0, 0.00036, 0.00018, 0.00271, 0.0, 0.0032, 0.00599, 0.04634, 0.00885]\n",
      "loss: 0.001584  [   96/  391] grads: [0.00064, 0.0, 5e-05, 8e-05, 0.00049, 0.0, 3e-05, 6e-05, 0.00046, 0.0, 5e-05, 6e-05, 0.00045, 0.0, 6e-05, 4e-05, 0.00042, 0.0, 4e-05, 3e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.0008, 0.0, 8e-05, 7e-05, 0.00111, 0.0, 0.00023, 0.00021, 0.00212, 0.0, 0.00099, 0.00079, 0.0074, 0.0, 0.00392, 0.00292, 0.04908, 0.00257]\n",
      "loss: 0.001432  [  128/  391] grads: [0.00119, 0.0, 0.0001, 2e-05, 0.00072, 0.0, 8e-05, 2e-05, 0.00058, 0.0, 7e-05, 2e-05, 0.00049, 0.0, 7e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 9e-05, 5e-05, 0.00095, 0.0, 0.0001, 6e-05, 0.0013, 0.0, 0.00025, 0.00011, 0.00234, 0.0, 0.00046, 0.00043, 0.00568, 0.0, 0.00222, 0.00399, 0.03962, 0.00534]\n",
      "loss: 0.000858  [  160/  391] grads: [0.00018, 0.0, 1e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00085, 0.0, 7e-05, 4e-05, 0.00087, 0.0, 0.0001, 7e-05, 0.00101, 0.0, 0.00041, 0.0003, 0.00298, 0.0, 0.00154, 0.0013, 0.01933, 0.00133]\n",
      "loss: 0.001101  [  192/  391] grads: [0.00031, 0.0, 5e-05, 6e-05, 0.00043, 0.0, 4e-05, 5e-05, 0.00046, 0.0, 6e-05, 5e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 6e-05, 4e-05, 0.00097, 0.0, 7e-05, 6e-05, 0.00101, 0.0, 9e-05, 9e-05, 0.00129, 0.0, 0.00048, 0.0005, 0.0037, 0.0, 0.002, 0.0015, 0.02475, 0.00121]\n",
      "loss: 0.001293  [  224/  391] grads: [0.00037, 0.0, 4e-05, 8e-05, 0.00038, 0.0, 4e-05, 6e-05, 0.00039, 0.0, 3e-05, 5e-05, 0.00039, 0.0, 5e-05, 4e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 5e-05, 3e-05, 0.00074, 0.0, 9e-05, 7e-05, 0.00115, 0.0, 0.00026, 0.00019, 0.00217, 0.0, 0.0009, 0.00065, 0.0068, 0.0, 0.00352, 0.00331, 0.04237, 0.00438]\n",
      "loss: 0.001460  [  256/  391] grads: [0.00122, 0.0, 8e-05, 4e-05, 0.00062, 0.0, 6e-05, 4e-05, 0.00057, 0.0, 6e-05, 2e-05, 0.00061, 0.0, 7e-05, 2e-05, 0.00067, 0.0, 6e-05, 4e-05, 0.00067, 0.0, 5e-05, 3e-05, 0.00074, 0.0, 6e-05, 4e-05, 0.001, 0.0, 9e-05, 7e-05, 0.00116, 0.0, 0.00012, 0.00012, 0.00148, 0.0, 0.00039, 0.00019, 0.00326, 0.0, 0.00201, 0.00386, 0.03043, 0.00516]\n",
      "loss: 0.004714  [  288/  391] grads: [0.00229, 0.0, 0.00017, 6e-05, 0.00123, 0.0, 0.00015, 6e-05, 0.00123, 0.0, 0.00016, 8e-05, 0.0012, 0.0, 0.00016, 8e-05, 0.00124, 0.0, 0.00012, 5e-05, 0.00106, 0.0, 8e-05, 4e-05, 0.00124, 0.0, 0.00012, 8e-05, 0.00197, 0.0, 0.00017, 0.00018, 0.00264, 0.0, 0.00051, 0.00043, 0.00448, 0.0, 0.00181, 0.00156, 0.014, 0.0, 0.00878, 0.01343, 0.10997, 0.01836]\n",
      "loss: 0.001403  [  320/  391] grads: [0.00031, 0.0, 4e-05, 5e-05, 0.00041, 0.0, 3e-05, 4e-05, 0.00042, 0.0, 4e-05, 4e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.0007, 0.0, 6e-05, 4e-05, 0.00086, 0.0, 0.00013, 9e-05, 0.00163, 0.0, 0.00046, 0.00036, 0.00442, 0.0, 0.00231, 0.00196, 0.02773, 0.00224]\n",
      "loss: 0.002513  [  352/  391] grads: [0.0019, 0.0, 0.00011, 0.0001, 0.00106, 0.0, 9e-05, 0.0001, 0.00107, 0.0, 0.00012, 0.0001, 0.00099, 0.0, 0.00013, 7e-05, 0.00119, 0.0, 0.0001, 5e-05, 0.00116, 0.0, 8e-05, 5e-05, 0.00129, 0.0, 0.00011, 8e-05, 0.00175, 0.0, 0.00014, 0.00016, 0.00214, 0.0, 0.00035, 0.00034, 0.00337, 0.0, 0.00139, 0.0013, 0.01164, 0.0, 0.00647, 0.00831, 0.08517, 0.01111]\n",
      "loss: 0.001352  [  168/  391] grads: [0.00072, 0.0, 8e-05, 8e-05, 0.00067, 0.0, 4e-05, 8e-05, 0.00065, 0.0, 4e-05, 8e-05, 0.00062, 0.0, 7e-05, 7e-05, 0.00067, 0.0, 5e-05, 4e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.00077, 0.0, 6e-05, 5e-05, 0.00102, 0.0, 0.0001, 0.0001, 0.00138, 0.0, 0.00036, 0.00029, 0.00274, 0.0, 0.00095, 0.00068, 0.00732, 0.0, 0.00369, 0.00471, 0.04726, 0.00666]\n",
      "Epoch 52\n",
      "-------------------------------\n",
      "loss: 0.001253  [    0/  391] grads: [0.00089, 0.0, 2e-05, 2e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00028, 0.0, 1e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 3e-05, 1e-05, 0.00057, 0.0, 5e-05, 3e-05, 0.0008, 0.0, 7e-05, 6e-05, 0.001, 0.0, 0.00032, 0.00021, 0.00245, 0.0, 0.00101, 0.00063, 0.00754, 0.0, 0.00309, 0.00329, 0.03833, 0.0042]\n",
      "loss: 0.001131  [   32/  391] grads: [0.00025, 0.0, 5e-05, 5e-05, 0.00039, 0.0, 4e-05, 4e-05, 0.00035, 0.0, 4e-05, 3e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.00033, 0.0, 3e-05, 1e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 7e-05, 5e-05, 0.00084, 0.0, 0.0002, 9e-05, 0.00174, 0.0, 0.00044, 0.00031, 0.00486, 0.0, 0.00218, 0.00357, 0.0272, 0.00561]\n",
      "loss: 0.001652  [   64/  391] grads: [0.00031, 0.0, 4e-05, 3e-05, 0.00034, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 5e-05, 3e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.0004, 0.0, 3e-05, 1e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00068, 0.0, 6e-05, 4e-05, 0.00103, 0.0, 9e-05, 6e-05, 0.0011, 0.0, 0.00017, 8e-05, 0.0019, 0.0, 0.00062, 0.00044, 0.0062, 0.0, 0.00308, 0.00416, 0.04194, 0.00643]\n",
      "loss: 0.002049  [   96/  391] grads: [0.00153, 0.0, 0.00012, 3e-05, 0.00083, 0.0, 0.00011, 3e-05, 0.00072, 0.0, 0.0001, 4e-05, 0.00066, 0.0, 7e-05, 3e-05, 0.0007, 0.0, 8e-05, 4e-05, 0.00074, 0.0, 5e-05, 3e-05, 0.00085, 0.0, 8e-05, 6e-05, 0.00132, 0.0, 0.00011, 0.00012, 0.00161, 0.0, 0.00033, 0.0003, 0.00288, 0.0, 0.00131, 0.00109, 0.00967, 0.0, 0.00529, 0.00566, 0.06856, 0.00659]\n",
      "loss: 0.001471  [  128/  391] grads: [0.00124, 0.0, 0.00012, 2e-05, 0.00089, 0.0, 8e-05, 3e-05, 0.00082, 0.0, 0.0001, 3e-05, 0.00084, 0.0, 9e-05, 3e-05, 0.00058, 0.0, 6e-05, 3e-05, 0.00059, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 9e-05, 4e-05, 0.00128, 0.0, 0.00018, 7e-05, 0.00175, 0.0, 0.00036, 0.00015, 0.00345, 0.0, 0.00073, 0.00037, 0.00799, 0.0, 0.0019, 0.00257, 0.03694, 0.00285]\n",
      "loss: 0.001001  [  160/  391] grads: [0.00089, 0.0, 0.0001, 3e-05, 0.00078, 0.0, 8e-05, 3e-05, 0.00065, 0.0, 8e-05, 3e-05, 0.00063, 0.0, 7e-05, 2e-05, 0.00047, 0.0, 5e-05, 2e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 6e-05, 3e-05, 0.00081, 0.0, 9e-05, 4e-05, 0.001, 0.0, 0.00017, 8e-05, 0.00165, 0.0, 0.00042, 0.00027, 0.00441, 0.0, 0.00114, 0.00096, 0.02192, 0.00089]\n",
      "loss: 0.001383  [  192/  391] grads: [0.00084, 0.0, 0.00012, 4e-05, 0.00089, 0.0, 0.0001, 4e-05, 0.00066, 0.0, 8e-05, 4e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.00054, 0.0, 5e-05, 2e-05, 0.00059, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 7e-05, 6e-05, 0.00106, 0.0, 0.00013, 9e-05, 0.00154, 0.0, 0.00048, 0.0005, 0.00487, 0.0, 0.00242, 0.00159, 0.03121, 0.00097]\n",
      "loss: 0.001942  [  224/  391] grads: [0.00089, 0.0, 0.00013, 5e-05, 0.00093, 0.0, 0.0001, 5e-05, 0.00059, 0.0, 8e-05, 4e-05, 0.00056, 0.0, 4e-05, 4e-05, 0.00067, 0.0, 6e-05, 3e-05, 0.0007, 0.0, 5e-05, 3e-05, 0.00095, 0.0, 0.0001, 7e-05, 0.00137, 0.0, 0.00015, 0.00013, 0.00182, 0.0, 0.00033, 0.00028, 0.00306, 0.0, 0.00111, 0.001, 0.00865, 0.0, 0.00479, 0.00553, 0.05778, 0.00748]\n",
      "loss: 0.001751  [  256/  391] grads: [0.00116, 0.0, 0.00012, 3e-05, 0.0008, 0.0, 8e-05, 5e-05, 0.00068, 0.0, 8e-05, 2e-05, 0.00066, 0.0, 5e-05, 3e-05, 0.00061, 0.0, 7e-05, 3e-05, 0.00064, 0.0, 6e-05, 3e-05, 0.00082, 0.0, 8e-05, 5e-05, 0.00131, 0.0, 0.00016, 8e-05, 0.00158, 0.0, 0.00031, 0.00015, 0.00318, 0.0, 0.00079, 0.00038, 0.00701, 0.0, 0.00267, 0.00365, 0.04368, 0.00422]\n",
      "loss: 0.005939  [  288/  391] grads: [0.00224, 0.0, 0.00037, 0.00013, 0.00241, 0.0, 0.00025, 0.00013, 0.00155, 0.0, 0.00021, 0.00011, 0.00149, 0.0, 0.00011, 0.0001, 0.00138, 0.0, 0.00017, 8e-05, 0.00156, 0.0, 0.00012, 7e-05, 0.00165, 0.0, 0.00015, 0.00011, 0.00261, 0.0, 0.00029, 0.00022, 0.00339, 0.0, 0.00064, 0.00056, 0.00608, 0.0, 0.00197, 0.00195, 0.01642, 0.0, 0.01018, 0.01633, 0.12961, 0.02217]\n",
      "loss: 0.001504  [  320/  391] grads: [0.0004, 0.0, 4e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00046, 0.0, 6e-05, 3e-05, 0.00057, 0.0, 2e-05, 2e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00076, 0.0, 6e-05, 4e-05, 0.00083, 0.0, 0.00011, 9e-05, 0.00112, 0.0, 0.00051, 0.00031, 0.00334, 0.0, 0.00246, 0.00274, 0.03239, 0.00343]\n",
      "loss: 0.001516  [  352/  391] grads: [0.00087, 0.0, 0.00012, 9e-05, 0.00093, 0.0, 9e-05, 0.00012, 0.00076, 0.0, 0.00011, 0.0001, 0.00084, 0.0, 9e-05, 7e-05, 0.00079, 0.0, 8e-05, 4e-05, 0.00078, 0.0, 5e-05, 3e-05, 0.00091, 0.0, 9e-05, 6e-05, 0.00137, 0.0, 0.0001, 9e-05, 0.00154, 0.0, 0.0002, 0.00021, 0.00229, 0.0, 0.00085, 0.00085, 0.00726, 0.0, 0.0045, 0.00542, 0.06065, 0.00733]\n",
      "loss: 0.001147  [  168/  391] grads: [0.00078, 0.0, 8e-05, 2e-05, 0.00058, 0.0, 5e-05, 4e-05, 0.00071, 0.0, 4e-05, 3e-05, 0.00071, 0.0, 4e-05, 2e-05, 0.00059, 0.0, 5e-05, 3e-05, 0.0007, 0.0, 5e-05, 3e-05, 0.00078, 0.0, 6e-05, 4e-05, 0.00105, 0.0, 9e-05, 6e-05, 0.00106, 0.0, 0.00015, 0.00013, 0.00156, 0.0, 0.0005, 0.00044, 0.0043, 0.0, 0.00263, 0.00257, 0.03412, 0.00319]\n",
      "Epoch 53\n",
      "-------------------------------\n",
      "loss: 0.001504  [    0/  391] grads: [0.00107, 0.0, 0.00011, 7e-05, 0.0007, 0.0, 7e-05, 6e-05, 0.00062, 0.0, 6e-05, 5e-05, 0.00064, 0.0, 5e-05, 4e-05, 0.00057, 0.0, 5e-05, 4e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 6e-05, 5e-05, 0.00102, 0.0, 0.00012, 9e-05, 0.00133, 0.0, 0.0002, 0.00016, 0.00227, 0.0, 0.00057, 0.00026, 0.00428, 0.0, 0.0029, 0.00488, 0.04675, 0.00689]\n",
      "loss: 0.001184  [   32/  391] grads: [0.00018, 0.0, 3e-05, 3e-05, 0.00026, 0.0, 3e-05, 3e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 3e-05, 1e-05, 0.00036, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00062, 0.0, 7e-05, 4e-05, 0.00084, 0.0, 7e-05, 5e-05, 0.00093, 0.0, 0.00015, 9e-05, 0.00131, 0.0, 0.00027, 0.00022, 0.00283, 0.0, 0.00201, 0.00337, 0.02737, 0.00509]\n",
      "loss: 0.001596  [   64/  391] grads: [0.00049, 0.0, 1e-05, 6e-05, 0.00023, 0.0, 1e-05, 4e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00037, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 7e-05, 6e-05, 0.0008, 0.0, 0.00015, 0.00011, 0.00128, 0.0, 0.00036, 0.00017, 0.00277, 0.0, 0.00285, 0.00532, 0.03916, 0.00796]\n",
      "loss: 0.002087  [   96/  391] grads: [0.00094, 0.0, 0.0001, 0.00016, 0.00092, 0.0, 8e-05, 0.00014, 0.00069, 0.0, 9e-05, 0.00012, 0.00079, 0.0, 0.0001, 7e-05, 0.00072, 0.0, 7e-05, 3e-05, 0.0007, 0.0, 5e-05, 3e-05, 0.00094, 0.0, 0.0001, 6e-05, 0.00148, 0.0, 0.00016, 0.00012, 0.00178, 0.0, 0.00023, 0.00023, 0.00275, 0.0, 0.00118, 0.00098, 0.0093, 0.0, 0.00581, 0.00376, 0.07693, 0.00068]\n",
      "loss: 0.001592  [  128/  391] grads: [0.00067, 0.0, 5e-05, 5e-05, 0.00049, 0.0, 5e-05, 5e-05, 0.00041, 0.0, 8e-05, 6e-05, 0.00054, 0.0, 9e-05, 6e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 7e-05, 5e-05, 0.00099, 0.0, 8e-05, 8e-05, 0.00128, 0.0, 0.00019, 0.0002, 0.00195, 0.0, 0.00066, 0.00064, 0.00527, 0.0, 0.00402, 0.00616, 0.05261, 0.00882]\n",
      "loss: 0.000881  [  160/  391] grads: [0.00021, 0.0, 3e-05, 5e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 4e-05, 4e-05, 0.00061, 0.0, 7e-05, 5e-05, 0.00101, 0.0, 0.00023, 0.00013, 0.0018, 0.0, 0.00095, 0.0012, 0.01202, 0.00158]\n",
      "loss: 0.001477  [  192/  391] grads: [0.00071, 0.0, 0.0001, 9e-05, 0.00076, 0.0, 7e-05, 7e-05, 0.00052, 0.0, 7e-05, 5e-05, 0.00052, 0.0, 6e-05, 4e-05, 0.00047, 0.0, 5e-05, 2e-05, 0.00051, 0.0, 4e-05, 2e-05, 0.00075, 0.0, 8e-05, 5e-05, 0.00115, 0.0, 0.0001, 6e-05, 0.00122, 0.0, 0.00014, 8e-05, 0.00173, 0.0, 0.0005, 0.00053, 0.00457, 0.0, 0.00256, 0.00159, 0.03173, 0.00011]\n",
      "loss: 0.001198  [  224/  391] grads: [0.00069, 0.0, 9e-05, 6e-05, 0.00065, 0.0, 6e-05, 5e-05, 0.00045, 0.0, 6e-05, 5e-05, 0.00045, 0.0, 5e-05, 3e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 7e-05, 7e-05, 0.00097, 0.0, 0.00011, 0.00011, 0.00149, 0.0, 0.00056, 0.00058, 0.00475, 0.0, 0.00277, 0.00208, 0.03394, 0.0018]\n",
      "loss: 0.002019  [  256/  391] grads: [0.0008, 0.0, 6e-05, 6e-05, 0.00046, 0.0, 5e-05, 5e-05, 0.00048, 0.0, 5e-05, 3e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 5e-05, 4e-05, 0.00053, 0.0, 3e-05, 3e-05, 0.00073, 0.0, 7e-05, 5e-05, 0.00096, 0.0, 0.0001, 0.0001, 0.00116, 0.0, 0.00015, 0.00015, 0.00167, 0.0, 0.00062, 0.00031, 0.00381, 0.0, 0.00294, 0.00438, 0.04128, 0.0056]\n",
      "loss: 0.005316  [  288/  391] grads: [0.00292, 0.0, 0.00021, 0.00011, 0.00139, 0.0, 0.00017, 7e-05, 0.00121, 0.0, 0.00018, 4e-05, 0.00114, 0.0, 0.00016, 5e-05, 0.00131, 0.0, 0.00013, 7e-05, 0.00125, 0.0, 9e-05, 6e-05, 0.0016, 0.0, 0.00017, 0.0001, 0.00244, 0.0, 0.00017, 0.00018, 0.00312, 0.0, 0.00065, 0.00051, 0.00543, 0.0, 0.00203, 0.00161, 0.01515, 0.0, 0.00918, 0.01488, 0.11484, 0.02025]\n",
      "loss: 0.001633  [  320/  391] grads: [0.00027, 0.0, 3e-05, 3e-05, 0.00025, 0.0, 2e-05, 3e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00069, 0.0, 6e-05, 4e-05, 0.00081, 0.0, 0.00017, 0.00011, 0.00155, 0.0, 0.00078, 0.00052, 0.00506, 0.0, 0.00304, 0.0026, 0.03936, 0.00245]\n",
      "loss: 0.002191  [  352/  391] grads: [0.00107, 0.0, 7e-05, 3e-05, 0.00062, 0.0, 6e-05, 6e-05, 0.00071, 0.0, 9e-05, 7e-05, 0.00074, 0.0, 0.0001, 6e-05, 0.00084, 0.0, 7e-05, 4e-05, 0.00101, 0.0, 7e-05, 3e-05, 0.00127, 0.0, 0.00011, 7e-05, 0.00182, 0.0, 0.00024, 0.00019, 0.00253, 0.0, 0.00036, 0.00039, 0.00336, 0.0, 0.00116, 0.001, 0.00905, 0.0, 0.00569, 0.00859, 0.07484, 0.0123]\n",
      "loss: 0.001620  [  168/  391] grads: [0.00089, 0.0, 1e-05, 2e-05, 0.00026, 0.0, 3e-05, 4e-05, 0.0004, 0.0, 5e-05, 5e-05, 0.00052, 0.0, 6e-05, 4e-05, 0.00066, 0.0, 4e-05, 3e-05, 0.00071, 0.0, 4e-05, 2e-05, 0.00084, 0.0, 8e-05, 5e-05, 0.00115, 0.0, 0.00015, 0.00013, 0.00156, 0.0, 0.00034, 0.0003, 0.00268, 0.0, 0.00071, 0.00044, 0.00564, 0.0, 0.00386, 0.00664, 0.05156, 0.01002]\n",
      "Epoch 54\n",
      "-------------------------------\n",
      "loss: 0.001074  [    0/  391] grads: [0.00078, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 2e-05, 3e-05, 0.00039, 0.0, 5e-05, 5e-05, 0.00044, 0.0, 7e-05, 5e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 6e-05, 3e-05, 0.00076, 0.0, 8e-05, 9e-05, 0.00103, 0.0, 0.00023, 0.0002, 0.0018, 0.0, 0.00051, 0.00036, 0.00395, 0.0, 0.00244, 0.0042, 0.03261, 0.00613]\n",
      "loss: 0.001303  [   32/  391] grads: [0.00028, 0.0, 3e-05, 3e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00041, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 6e-05, 4e-05, 0.00086, 0.0, 0.0001, 7e-05, 0.00115, 0.0, 0.00027, 0.00018, 0.00212, 0.0, 0.00052, 0.00029, 0.00475, 0.0, 0.00264, 0.00497, 0.03218, 0.00759]\n",
      "loss: 0.001816  [   64/  391] grads: [0.00052, 0.0, 2e-05, 6e-05, 0.00023, 0.0, 1e-05, 6e-05, 0.00027, 0.0, 3e-05, 5e-05, 0.00028, 0.0, 3e-05, 4e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 4e-05, 3e-05, 0.00054, 0.0, 7e-05, 5e-05, 0.00085, 0.0, 0.00017, 0.0001, 0.00209, 0.0, 0.00072, 0.00047, 0.00571, 0.0, 0.00392, 0.00539, 0.05347, 0.00746]\n",
      "loss: 0.001462  [   96/  391] grads: [0.00039, 0.0, 3e-05, 6e-05, 0.00038, 0.0, 3e-05, 6e-05, 0.00049, 0.0, 5e-05, 6e-05, 0.0005, 0.0, 6e-05, 5e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 7e-05, 3e-05, 0.00098, 0.0, 8e-05, 6e-05, 0.00118, 0.0, 0.00019, 0.00016, 0.00197, 0.0, 0.00077, 0.00054, 0.00587, 0.0, 0.00321, 0.00198, 0.04232, 2e-05]\n",
      "loss: 0.001274  [  128/  391] grads: [0.00104, 0.0, 0.00013, 0.00012, 0.00111, 0.0, 0.0001, 9e-05, 0.00074, 0.0, 0.0001, 8e-05, 0.00066, 0.0, 9e-05, 5e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00059, 0.0, 7e-05, 4e-05, 0.00102, 0.0, 0.00012, 7e-05, 0.00151, 0.0, 0.00022, 0.00011, 0.0023, 0.0, 0.00043, 0.00065, 0.00479, 0.0, 0.00208, 0.00243, 0.02871, 0.00274]\n",
      "loss: 0.001109  [  160/  391] grads: [0.00055, 0.0, 1e-05, 5e-05, 0.00022, 0.0, 2e-05, 3e-05, 0.00021, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 6e-05, 5e-05, 0.0007, 0.0, 0.00011, 9e-05, 0.00113, 0.0, 0.00029, 0.00017, 0.00182, 0.0, 0.0018, 0.00297, 0.0237, 0.00388]\n",
      "loss: 0.001161  [  192/  391] grads: [0.00067, 0.0, 9e-05, 6e-05, 0.00071, 0.0, 6e-05, 5e-05, 0.00043, 0.0, 7e-05, 5e-05, 0.00042, 0.0, 6e-05, 3e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 5e-05, 3e-05, 0.00063, 0.0, 5e-05, 5e-05, 0.00085, 0.0, 0.00013, 0.0001, 0.00145, 0.0, 0.0004, 0.00042, 0.00368, 0.0, 0.002, 0.00164, 0.0254, 0.0016]\n",
      "loss: 0.001723  [  224/  391] grads: [0.00078, 0.0, 9e-05, 5e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00044, 0.0, 6e-05, 4e-05, 0.00038, 0.0, 6e-05, 3e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 6e-05, 4e-05, 0.00082, 0.0, 7e-05, 6e-05, 0.00107, 0.0, 0.00023, 0.00019, 0.0022, 0.0, 0.00096, 0.00085, 0.00678, 0.0, 0.00403, 0.00274, 0.04846, 0.00144]\n",
      "loss: 0.001603  [  256/  391] grads: [0.00084, 0.0, 5e-05, 0.00012, 0.0006, 0.0, 3e-05, 9e-05, 0.00058, 0.0, 5e-05, 8e-05, 0.00056, 0.0, 8e-05, 6e-05, 0.00058, 0.0, 5e-05, 3e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00059, 0.0, 6e-05, 4e-05, 0.00095, 0.0, 0.00011, 7e-05, 0.00129, 0.0, 0.00019, 0.00015, 0.00221, 0.0, 0.00058, 0.00057, 0.00498, 0.0, 0.00336, 0.00538, 0.04386, 0.00719]\n",
      "loss: 0.003936  [  288/  391] grads: [0.00229, 0.0, 0.00013, 0.00015, 0.0011, 0.0, 9e-05, 0.00012, 0.0009, 0.0, 0.00013, 0.00012, 0.00096, 0.0, 0.00015, 0.0001, 0.00101, 0.0, 0.0001, 4e-05, 0.00091, 0.0, 6e-05, 4e-05, 0.00098, 0.0, 9e-05, 6e-05, 0.00155, 0.0, 0.00016, 0.00016, 0.00235, 0.0, 0.00058, 0.00046, 0.00434, 0.0, 0.00189, 0.00159, 0.01409, 0.0, 0.00867, 0.01149, 0.10423, 0.01508]\n",
      "loss: 0.001279  [  320/  391] grads: [0.00055, 0.0, 5e-05, 3e-05, 0.00033, 0.0, 4e-05, 1e-05, 0.00028, 0.0, 4e-05, 2e-05, 0.00032, 0.0, 4e-05, 1e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00039, 0.0, 2e-05, 1e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00068, 0.0, 8e-05, 5e-05, 0.00079, 0.0, 0.00011, 7e-05, 0.00118, 0.0, 0.00034, 0.00012, 0.00232, 0.0, 0.00222, 0.004, 0.03098, 0.00553]\n",
      "loss: 0.002073  [  352/  391] grads: [0.00072, 0.0, 7e-05, 0.00013, 0.00071, 0.0, 4e-05, 0.00011, 0.00064, 0.0, 9e-05, 0.00012, 0.00078, 0.0, 0.00014, 0.00011, 0.00089, 0.0, 8e-05, 4e-05, 0.00073, 0.0, 4e-05, 3e-05, 0.00087, 0.0, 9e-05, 5e-05, 0.00136, 0.0, 0.00014, 0.00014, 0.00209, 0.0, 0.00047, 0.00039, 0.0036, 0.0, 0.00137, 0.00117, 0.01035, 0.0, 0.00601, 0.008, 0.07509, 0.01127]\n",
      "loss: 0.001574  [  168/  391] grads: [0.00046, 0.0, 2e-05, 3e-05, 0.00034, 0.0, 2e-05, 4e-05, 0.00048, 0.0, 3e-05, 4e-05, 0.00053, 0.0, 3e-05, 3e-05, 0.00064, 0.0, 4e-05, 2e-05, 0.00067, 0.0, 4e-05, 2e-05, 0.00084, 0.0, 7e-05, 5e-05, 0.00131, 0.0, 0.00013, 9e-05, 0.00165, 0.0, 0.00042, 0.00029, 0.00315, 0.0, 0.00122, 0.00084, 0.00903, 0.0, 0.00407, 0.00496, 0.05016, 0.00696]\n",
      "Epoch 55\n",
      "-------------------------------\n",
      "loss: 0.001365  [    0/  391] grads: [0.00037, 0.0, 2e-05, 2e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.00027, 0.0, 1e-05, 1e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 8e-05, 5e-05, 0.00093, 0.0, 0.00021, 0.00013, 0.00187, 0.0, 0.00048, 0.00026, 0.00441, 0.0, 0.00279, 0.00475, 0.0345, 0.00727]\n",
      "loss: 0.001175  [   32/  391] grads: [0.00036, 0.0, 4e-05, 3e-05, 0.00032, 0.0, 4e-05, 3e-05, 0.00029, 0.0, 4e-05, 3e-05, 0.00035, 0.0, 5e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 3e-05, 3e-05, 0.00054, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 0.0001, 7e-05, 0.00101, 0.0, 0.00013, 5e-05, 0.00152, 0.0, 0.00056, 0.00041, 0.00472, 0.0, 0.00266, 0.00312, 0.03416, 0.00441]\n",
      "loss: 0.001341  [   64/  391] grads: [0.00055, 0.0, 4e-05, 4e-05, 0.00027, 0.0, 3e-05, 3e-05, 0.00018, 0.0, 2e-05, 2e-05, 0.00019, 0.0, 1e-05, 1e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 4e-05, 2e-05, 0.00061, 0.0, 8e-05, 5e-05, 0.0009, 0.0, 0.00016, 8e-05, 0.00154, 0.0, 0.00038, 0.00016, 0.00266, 0.0, 0.00277, 0.00479, 0.03738, 0.00691]\n",
      "loss: 0.001654  [   96/  391] grads: [0.00128, 0.0, 6e-05, 7e-05, 0.0005, 0.0, 4e-05, 5e-05, 0.00046, 0.0, 5e-05, 4e-05, 0.00049, 0.0, 6e-05, 4e-05, 0.00049, 0.0, 5e-05, 2e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 5e-05, 3e-05, 0.00097, 0.0, 8e-05, 6e-05, 0.00121, 0.0, 0.00022, 0.00019, 0.00205, 0.0, 0.00111, 0.00086, 0.00794, 0.0, 0.00433, 0.00337, 0.05192, 0.00306]\n",
      "loss: 0.001402  [  128/  391] grads: [0.00084, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 4e-05, 2e-05, 0.00033, 0.0, 4e-05, 1e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00073, 0.0, 0.0001, 4e-05, 0.00104, 0.0, 0.00019, 0.0001, 0.00178, 0.0, 0.00063, 0.00028, 0.00516, 0.0, 0.00231, 0.00311, 0.03733, 0.00358]\n",
      "loss: 0.001202  [  160/  391] grads: [0.00035, 0.0, 4e-05, 2e-05, 0.00027, 0.0, 3e-05, 2e-05, 0.00021, 0.0, 3e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 3e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00074, 0.0, 8e-05, 5e-05, 0.00095, 0.0, 0.00015, 0.0001, 0.00142, 0.0, 0.00036, 0.00027, 0.00289, 0.0, 0.00217, 0.00387, 0.02614, 0.00537]\n",
      "loss: 0.001301  [  192/  391] grads: [0.00028, 0.0, 2e-05, 5e-05, 0.00024, 0.0, 2e-05, 4e-05, 0.0002, 0.0, 2e-05, 3e-05, 0.00022, 0.0, 3e-05, 2e-05, 0.00024, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00061, 0.0, 6e-05, 4e-05, 0.00076, 0.0, 0.00014, 6e-05, 0.00114, 0.0, 0.00033, 0.00026, 0.00317, 0.0, 0.00183, 0.0024, 0.02086, 0.00325]\n",
      "loss: 0.001902  [  224/  391] grads: [0.00084, 0.0, 0.00012, 9e-05, 0.00091, 0.0, 0.0001, 8e-05, 0.00064, 0.0, 0.0001, 7e-05, 0.00055, 0.0, 0.0001, 6e-05, 0.00071, 0.0, 9e-05, 4e-05, 0.00066, 0.0, 5e-05, 2e-05, 0.00069, 0.0, 7e-05, 5e-05, 0.00117, 0.0, 0.00012, 0.00011, 0.00159, 0.0, 0.00025, 0.00023, 0.00236, 0.0, 0.00135, 0.00117, 0.00973, 0.0, 0.00581, 0.00528, 0.06883, 0.00585]\n",
      "loss: 0.001205  [  256/  391] grads: [0.0004, 0.0, 2e-05, 4e-05, 0.00021, 0.0, 1e-05, 3e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00068, 0.0, 8e-05, 5e-05, 0.00076, 0.0, 9e-05, 6e-05, 0.00091, 0.0, 0.00053, 0.00034, 0.0034, 0.0, 0.00209, 0.00184, 0.02558, 0.00175]\n",
      "loss: 0.005285  [  288/  391] grads: [0.00133, 0.0, 0.0002, 0.00016, 0.00146, 0.0, 0.00014, 0.00015, 0.00111, 0.0, 0.00016, 0.00014, 0.00107, 0.0, 0.00016, 0.0001, 0.00136, 0.0, 0.00016, 7e-05, 0.00138, 0.0, 0.0001, 6e-05, 0.00143, 0.0, 0.00013, 9e-05, 0.00231, 0.0, 0.00025, 0.00023, 0.00321, 0.0, 0.00062, 0.00051, 0.00481, 0.0, 0.00211, 0.00183, 0.01565, 0.0, 0.01014, 0.01502, 0.12109, 0.01995]\n",
      "loss: 0.001087  [  320/  391] grads: [0.00027, 0.0, 2e-05, 2e-05, 0.00022, 0.0, 1e-05, 2e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 7e-05, 4e-05, 0.00082, 0.0, 9e-05, 5e-05, 0.00096, 0.0, 0.00039, 0.00022, 0.00239, 0.0, 0.00141, 0.00172, 0.0187, 0.00202]\n",
      "loss: 0.001860  [  352/  391] grads: [0.00186, 0.0, 5e-05, 0.00013, 0.00056, 0.0, 3e-05, 0.00011, 0.00056, 0.0, 6e-05, 0.00011, 0.0007, 0.0, 0.0001, 9e-05, 0.0008, 0.0, 6e-05, 4e-05, 0.00069, 0.0, 5e-05, 3e-05, 0.00076, 0.0, 8e-05, 5e-05, 0.00113, 0.0, 0.00013, 0.00013, 0.00167, 0.0, 0.00034, 0.00029, 0.00266, 0.0, 0.00124, 0.00101, 0.00868, 0.0, 0.00543, 0.00784, 0.06945, 0.01119]\n",
      "loss: 0.001681  [  168/  391] grads: [0.00293, 0.0, 4e-05, 6e-05, 0.00048, 0.0, 3e-05, 4e-05, 0.00052, 0.0, 5e-05, 5e-05, 0.00059, 0.0, 7e-05, 5e-05, 0.00078, 0.0, 8e-05, 4e-05, 0.00083, 0.0, 5e-05, 3e-05, 0.00096, 0.0, 9e-05, 5e-05, 0.00141, 0.0, 0.0001, 0.0001, 0.00171, 0.0, 0.00034, 0.00026, 0.00257, 0.0, 0.00116, 0.00098, 0.00843, 0.0, 0.00471, 0.00656, 0.05926, 0.0087]\n",
      "Epoch 56\n",
      "-------------------------------\n",
      "loss: 0.001258  [    0/  391] grads: [0.00037, 0.0, 3e-05, 5e-05, 0.00032, 0.0, 3e-05, 4e-05, 0.0004, 0.0, 5e-05, 5e-05, 0.00043, 0.0, 6e-05, 4e-05, 0.00052, 0.0, 5e-05, 2e-05, 0.00056, 0.0, 4e-05, 2e-05, 0.00077, 0.0, 6e-05, 4e-05, 0.00122, 0.0, 0.00012, 9e-05, 0.0015, 0.0, 0.00026, 0.00021, 0.00215, 0.0, 0.00078, 0.00065, 0.0057, 0.0, 0.00324, 0.00459, 0.03998, 0.00646]\n",
      "loss: 0.001404  [   32/  391] grads: [0.00066, 0.0, 4e-05, 8e-05, 0.00039, 0.0, 2e-05, 7e-05, 0.00035, 0.0, 4e-05, 7e-05, 0.00048, 0.0, 6e-05, 6e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.0004, 0.0, 2e-05, 2e-05, 0.0005, 0.0, 6e-05, 5e-05, 0.00072, 0.0, 8e-05, 7e-05, 0.00099, 0.0, 0.00021, 0.00012, 0.00222, 0.0, 0.0007, 0.00054, 0.00574, 0.0, 0.00338, 0.00463, 0.04519, 0.00663]\n",
      "loss: 0.002438  [   64/  391] grads: [0.0006, 0.0, 4e-05, 8e-05, 0.00041, 0.0, 3e-05, 7e-05, 0.00039, 0.0, 2e-05, 5e-05, 0.00047, 0.0, 3e-05, 3e-05, 0.00056, 0.0, 4e-05, 3e-05, 0.00066, 0.0, 4e-05, 2e-05, 0.00082, 0.0, 7e-05, 5e-05, 0.00126, 0.0, 0.00014, 0.0001, 0.00139, 0.0, 0.00027, 0.00018, 0.00271, 0.0, 0.00087, 0.00041, 0.00603, 0.0, 0.005, 0.00859, 0.06828, 0.01218]\n",
      "loss: 0.001971  [   96/  391] grads: [0.00099, 0.0, 5e-05, 0.00015, 0.00067, 0.0, 4e-05, 0.00012, 0.00061, 0.0, 6e-05, 0.00011, 0.0006, 0.0, 7e-05, 8e-05, 0.00067, 0.0, 6e-05, 4e-05, 0.00069, 0.0, 5e-05, 3e-05, 0.00076, 0.0, 8e-05, 5e-05, 0.00114, 0.0, 0.00012, 0.00011, 0.00159, 0.0, 0.00027, 0.00027, 0.00264, 0.0, 0.00135, 0.00112, 0.00952, 0.0, 0.0056, 0.00393, 0.06858, 0.00219]\n",
      "loss: 0.000946  [  128/  391] grads: [0.00033, 0.0, 3e-05, 2e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00022, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00046, 0.0, 4e-05, 3e-05, 0.00054, 0.0, 9e-05, 5e-05, 0.00082, 0.0, 0.00018, 0.00022, 0.00167, 0.0, 0.0008, 0.00053, 0.00967, 8e-05]\n",
      "loss: 0.001066  [  160/  391] grads: [0.00027, 0.0, 1e-05, 2e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00044, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 4e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 6e-05, 3e-05, 0.00088, 0.0, 0.0001, 5e-05, 0.0011, 0.0, 0.00015, 7e-05, 0.00196, 0.0, 0.00033, 0.00019, 0.00268, 0.0, 0.00133, 0.00226, 0.01753, 0.00306]\n",
      "loss: 0.001612  [  192/  391] grads: [0.0001, 0.0, 2e-05, 7e-05, 0.00034, 0.0, 2e-05, 5e-05, 0.00038, 0.0, 3e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 7e-05, 5e-05, 0.00085, 0.0, 0.00011, 7e-05, 0.00112, 0.0, 0.00045, 0.00036, 0.00331, 0.0, 0.00234, 0.00274, 0.02708, 0.00332]\n",
      "loss: 0.001729  [  224/  391] grads: [0.00084, 0.0, 7e-05, 8e-05, 0.00059, 0.0, 5e-05, 6e-05, 0.00068, 0.0, 6e-05, 6e-05, 0.00048, 0.0, 6e-05, 4e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00076, 0.0, 8e-05, 7e-05, 0.00107, 0.0, 0.00021, 0.00018, 0.002, 0.0, 0.00104, 0.00084, 0.0074, 0.0, 0.00439, 0.00303, 0.05029, 0.00207]\n",
      "loss: 0.001423  [  256/  391] grads: [0.00063, 0.0, 4e-05, 4e-05, 0.00038, 0.0, 2e-05, 2e-05, 0.00051, 0.0, 2e-05, 2e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 2e-05, 2e-05, 0.00051, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 6e-05, 5e-05, 0.0008, 0.0, 0.00015, 9e-05, 0.00139, 0.0, 0.00038, 0.00022, 0.0033, 0.0, 0.00234, 0.00422, 0.02804, 0.00585]\n",
      "loss: 0.004324  [  288/  391] grads: [0.00048, 0.0, 0.00013, 0.00012, 0.00095, 0.0, 8e-05, 0.00011, 0.00078, 0.0, 4e-05, 0.0001, 0.00074, 0.0, 5e-05, 7e-05, 0.00098, 0.0, 8e-05, 4e-05, 0.00094, 0.0, 7e-05, 4e-05, 0.00115, 0.0, 0.00012, 6e-05, 0.00169, 0.0, 0.0002, 0.00015, 0.00236, 0.0, 0.00065, 0.00049, 0.00488, 0.0, 0.00243, 0.00174, 0.0167, 0.0, 0.00905, 0.01172, 0.10476, 0.01543]\n",
      "loss: 0.001486  [  320/  391] grads: [0.00049, 0.0, 6e-05, 3e-05, 0.00042, 0.0, 3e-05, 3e-05, 0.00043, 0.0, 2e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00065, 0.0, 7e-05, 4e-05, 0.00105, 0.0, 0.00012, 5e-05, 0.00123, 0.0, 0.00028, 0.00015, 0.00242, 0.0, 0.00094, 0.0005, 0.0064, 0.0, 0.00266, 0.00205, 0.03377, 0.00093]\n",
      "loss: 0.002206  [  352/  391] grads: [0.00018, 0.0, 8e-05, 6e-05, 0.00059, 0.0, 5e-05, 5e-05, 0.00041, 0.0, 4e-05, 6e-05, 0.00048, 0.0, 3e-05, 5e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.0007, 0.0, 9e-05, 4e-05, 0.00115, 0.0, 0.00018, 0.00012, 0.00189, 0.0, 0.00061, 0.00039, 0.0043, 0.0, 0.00183, 0.00117, 0.01318, 0.0, 0.00545, 0.00683, 0.06505, 0.00937]\n",
      "loss: 0.001502  [  168/  391] grads: [0.0003, 0.0, 5e-05, 3e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00037, 0.0, 3e-05, 3e-05, 0.00045, 0.0, 3e-05, 3e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 3e-05, 3e-05, 0.0006, 0.0, 5e-05, 4e-05, 0.00087, 0.0, 0.00011, 8e-05, 0.00114, 0.0, 0.00036, 0.00024, 0.00265, 0.0, 0.00108, 0.00068, 0.00799, 0.0, 0.00317, 0.00391, 0.03844, 0.00505]\n",
      "Epoch 57\n",
      "-------------------------------\n",
      "loss: 0.001058  [    0/  391] grads: [0.00046, 0.0, 4e-05, 3e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 3e-05, 3e-05, 0.0004, 0.0, 2e-05, 2e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 7e-05, 4e-05, 0.00082, 0.0, 0.00016, 9e-05, 0.00139, 0.0, 0.00025, 0.0002, 0.00312, 0.0, 0.00108, 0.00202, 0.01225, 0.00315]\n",
      "loss: 0.000972  [   32/  391] grads: [0.00028, 0.0, 2e-05, 1e-05, 0.00024, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 2e-05, 1e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00066, 0.0, 7e-05, 5e-05, 0.00081, 0.0, 0.0001, 6e-05, 0.00096, 0.0, 0.00028, 0.00011, 0.00219, 0.0, 0.00185, 0.00328, 0.02468, 0.00495]\n",
      "loss: 0.002098  [   64/  391] grads: [0.00223, 0.0, 0.00018, 5e-05, 0.00107, 0.0, 0.00012, 4e-05, 0.00071, 0.0, 0.00011, 2e-05, 0.00056, 0.0, 7e-05, 2e-05, 0.00059, 0.0, 9e-05, 4e-05, 0.00064, 0.0, 6e-05, 3e-05, 0.00071, 0.0, 7e-05, 4e-05, 0.00112, 0.0, 0.00015, 0.0001, 0.0016, 0.0, 0.00023, 0.00019, 0.00235, 0.0, 0.00044, 0.00042, 0.00463, 0.0, 0.00423, 0.0081, 0.06129, 0.0115]\n",
      "loss: 0.001707  [   96/  391] grads: [0.00154, 0.0, 6e-05, 5e-05, 0.0006, 0.0, 4e-05, 4e-05, 0.00051, 0.0, 8e-05, 5e-05, 0.00045, 0.0, 8e-05, 5e-05, 0.00056, 0.0, 6e-05, 3e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 6e-05, 4e-05, 0.00088, 0.0, 0.00011, 0.0001, 0.00135, 0.0, 0.00033, 0.00027, 0.00273, 0.0, 0.00118, 0.00081, 0.00862, 0.0, 0.00487, 0.00347, 0.05927, 0.00262]\n",
      "loss: 0.001249  [  128/  391] grads: [0.00031, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 2e-05, 2e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 1e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.0005, 0.0, 5e-05, 2e-05, 0.00081, 0.0, 9e-05, 4e-05, 0.00103, 0.0, 0.00026, 0.00013, 0.002, 0.0, 0.00055, 0.00023, 0.00463, 0.0, 0.00215, 0.00203, 0.03063, 0.00205]\n",
      "loss: 0.001048  [  160/  391] grads: [0.00098, 0.0, 6e-05, 4e-05, 0.00046, 0.0, 4e-05, 3e-05, 0.00035, 0.0, 5e-05, 1e-05, 0.00036, 0.0, 5e-05, 2e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.00072, 0.0, 9e-05, 7e-05, 0.00093, 0.0, 0.00013, 0.00012, 0.0012, 0.0, 0.00025, 0.00025, 0.00198, 0.0, 0.00167, 0.00334, 0.02386, 0.00455]\n",
      "loss: 0.001587  [  192/  391] grads: [0.00075, 0.0, 4e-05, 0.00012, 0.00044, 0.0, 3e-05, 9e-05, 0.00037, 0.0, 3e-05, 5e-05, 0.00036, 0.0, 3e-05, 3e-05, 0.00038, 0.0, 3e-05, 3e-05, 0.0004, 0.0, 3e-05, 3e-05, 0.00059, 0.0, 5e-05, 4e-05, 0.00085, 0.0, 0.0001, 8e-05, 0.00104, 0.0, 0.00016, 0.00014, 0.00158, 0.0, 0.00042, 0.00027, 0.0026, 0.0, 0.00223, 0.00308, 0.02806, 0.00392]\n",
      "loss: 0.002496  [  224/  391] grads: [0.00158, 0.0, 9e-05, 0.0002, 0.00089, 0.0, 6e-05, 0.00014, 0.00074, 0.0, 8e-05, 0.00012, 0.00064, 0.0, 9e-05, 8e-05, 0.00068, 0.0, 8e-05, 5e-05, 0.00064, 0.0, 5e-05, 4e-05, 0.00074, 0.0, 9e-05, 6e-05, 0.00138, 0.0, 0.00016, 0.00014, 0.00197, 0.0, 0.00039, 0.00036, 0.00384, 0.0, 0.00168, 0.0014, 0.01219, 0.0, 0.00768, 0.00735, 0.0885, 0.00925]\n",
      "loss: 0.001497  [  256/  391] grads: [0.00042, 0.0, 5e-05, 1e-05, 0.00033, 0.0, 3e-05, 1e-05, 0.00025, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00063, 0.0, 7e-05, 4e-05, 0.00076, 0.0, 0.00013, 7e-05, 0.00125, 0.0, 0.00038, 0.00015, 0.00263, 0.0, 0.00228, 0.00327, 0.02888, 0.00412]\n",
      "loss: 0.004602  [  288/  391] grads: [0.00203, 0.0, 0.00019, 0.00018, 0.00134, 0.0, 0.00013, 0.00013, 0.00101, 0.0, 0.00012, 9e-05, 0.00094, 0.0, 9e-05, 7e-05, 0.00101, 0.0, 0.00012, 5e-05, 0.00108, 0.0, 8e-05, 4e-05, 0.00113, 0.0, 0.0001, 7e-05, 0.00188, 0.0, 0.0002, 0.00015, 0.00237, 0.0, 0.0004, 0.00035, 0.00399, 0.0, 0.00185, 0.00168, 0.01369, 0.0, 0.00955, 0.01357, 0.11248, 0.01799]\n",
      "loss: 0.001230  [  320/  391] grads: [0.00021, 0.0, 1e-05, 1e-05, 0.00015, 0.0, 1e-05, 1e-05, 0.00014, 0.0, 1e-05, 1e-05, 0.00016, 0.0, 1e-05, 1e-05, 0.0002, 0.0, 1e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00044, 0.0, 7e-05, 5e-05, 0.00078, 0.0, 0.00032, 0.00015, 0.0026, 0.0, 0.00201, 0.00315, 0.02364, 0.00433]\n",
      "loss: 0.001748  [  352/  391] grads: [0.00058, 0.0, 6e-05, 8e-05, 0.00052, 0.0, 3e-05, 7e-05, 0.0005, 0.0, 4e-05, 5e-05, 0.00045, 0.0, 4e-05, 4e-05, 0.00058, 0.0, 6e-05, 3e-05, 0.00065, 0.0, 5e-05, 2e-05, 0.0007, 0.0, 6e-05, 4e-05, 0.00095, 0.0, 0.0001, 9e-05, 0.00123, 0.0, 0.00024, 0.0002, 0.00222, 0.0, 0.00131, 0.0011, 0.00932, 0.0, 0.00527, 0.00579, 0.06257, 0.00706]\n",
      "loss: 0.001143  [  168/  391] grads: [0.00071, 0.0, 5e-05, 7e-05, 0.00045, 0.0, 3e-05, 6e-05, 0.00044, 0.0, 5e-05, 5e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00065, 0.0, 6e-05, 4e-05, 0.00088, 0.0, 7e-05, 7e-05, 0.00099, 0.0, 0.00015, 0.00016, 0.00147, 0.0, 0.0005, 0.00046, 0.00436, 0.0, 0.00269, 0.00387, 0.03595, 0.00516]\n",
      "Epoch 58\n",
      "-------------------------------\n",
      "loss: 0.001024  [    0/  391] grads: [0.00037, 0.0, 2e-05, 5e-05, 0.00026, 0.0, 2e-05, 4e-05, 0.00037, 0.0, 2e-05, 4e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 7e-05, 5e-05, 0.00088, 0.0, 0.00012, 0.00011, 0.00123, 0.0, 0.00035, 0.00028, 0.0027, 0.0, 0.00208, 0.00349, 0.02557, 0.00505]\n",
      "loss: 0.001245  [   32/  391] grads: [0.00028, 0.0, 1e-05, 2e-05, 0.00015, 0.0, 1e-05, 2e-05, 0.00019, 0.0, 1e-05, 1e-05, 0.00021, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 4e-05, 4e-05, 0.00058, 0.0, 7e-05, 6e-05, 0.00069, 0.0, 0.00016, 0.00011, 0.00138, 0.0, 0.0004, 0.00022, 0.00287, 0.0, 0.00297, 0.00514, 0.03871, 0.00746]\n",
      "loss: 0.002213  [   64/  391] grads: [0.00067, 0.0, 6e-05, 1e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00036, 0.0, 4e-05, 1e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 4e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 5e-05, 5e-05, 0.00083, 0.0, 0.00011, 7e-05, 0.00108, 0.0, 0.00022, 0.00015, 0.00216, 0.0, 0.00055, 0.00025, 0.00367, 0.0, 0.00467, 0.00833, 0.06118, 0.01201]\n",
      "loss: 0.001892  [   96/  391] grads: [0.00138, 0.0, 9e-05, 9e-05, 0.00069, 0.0, 6e-05, 7e-05, 0.00055, 0.0, 7e-05, 5e-05, 0.00054, 0.0, 7e-05, 5e-05, 0.00069, 0.0, 7e-05, 4e-05, 0.00071, 0.0, 6e-05, 3e-05, 0.00077, 0.0, 9e-05, 5e-05, 0.00127, 0.0, 0.00014, 0.00012, 0.00162, 0.0, 0.00026, 0.00025, 0.00255, 0.0, 0.00122, 0.00105, 0.00878, 0.0, 0.00518, 0.00561, 0.06224, 0.00671]\n",
      "loss: 0.001039  [  128/  391] grads: [0.00045, 0.0, 6e-05, 5e-05, 0.0004, 0.0, 5e-05, 4e-05, 0.00029, 0.0, 4e-05, 3e-05, 0.00025, 0.0, 3e-05, 2e-05, 0.00025, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 5e-05, 3e-05, 0.00058, 0.0, 0.00015, 6e-05, 0.00119, 0.0, 0.00017, 0.00021, 0.00254, 0.0, 0.00108, 0.0018, 0.01689, 0.00236]\n",
      "loss: 0.001423  [  160/  391] grads: [0.00066, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 2e-05, 4e-05, 0.00063, 0.0, 4e-05, 2e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.00068, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 5e-05, 3e-05, 0.00078, 0.0, 5e-05, 4e-05, 0.00118, 0.0, 0.00012, 9e-05, 0.0013, 0.0, 0.00018, 0.00016, 0.00179, 0.0, 0.0003, 0.00018, 0.00185, 0.0, 0.00228, 0.0044, 0.02962, 0.00599]\n",
      "loss: 0.001391  [  192/  391] grads: [0.00096, 0.0, 9e-05, 0.00012, 0.0007, 0.0, 6e-05, 9e-05, 0.00059, 0.0, 8e-05, 7e-05, 0.00053, 0.0, 8e-05, 5e-05, 0.00057, 0.0, 6e-05, 3e-05, 0.00065, 0.0, 5e-05, 3e-05, 0.00072, 0.0, 8e-05, 4e-05, 0.00105, 0.0, 0.0001, 8e-05, 0.00119, 0.0, 0.00011, 0.00011, 0.00161, 0.0, 0.00066, 0.00069, 0.00558, 0.0, 0.00309, 0.00307, 0.03995, 0.00359]\n",
      "loss: 0.001653  [  224/  391] grads: [0.00077, 0.0, 7e-05, 0.00011, 0.00057, 0.0, 5e-05, 9e-05, 0.00053, 0.0, 5e-05, 7e-05, 0.00052, 0.0, 5e-05, 5e-05, 0.00062, 0.0, 6e-05, 4e-05, 0.00069, 0.0, 5e-05, 4e-05, 0.00083, 0.0, 9e-05, 6e-05, 0.00127, 0.0, 0.00014, 0.00011, 0.00151, 0.0, 0.0002, 0.00021, 0.00206, 0.0, 0.00084, 0.00076, 0.00628, 0.0, 0.00441, 0.00524, 0.0526, 0.00707]\n",
      "loss: 0.001473  [  256/  391] grads: [0.00067, 0.0, 5e-05, 3e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 4e-05, 2e-05, 0.00033, 0.0, 4e-05, 1e-05, 0.00034, 0.0, 4e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 7e-05, 5e-05, 0.00075, 0.0, 0.00011, 9e-05, 0.0013, 0.0, 0.00027, 0.00022, 0.00225, 0.0, 0.00262, 0.00484, 0.03405, 0.0066]\n",
      "loss: 0.004079  [  288/  391] grads: [0.00098, 0.0, 8e-05, 0.00021, 0.00088, 0.0, 6e-05, 0.00016, 0.00086, 0.0, 9e-05, 0.00014, 0.00091, 0.0, 0.00012, 9e-05, 0.0009, 0.0, 9e-05, 4e-05, 0.00082, 0.0, 6e-05, 3e-05, 0.00087, 0.0, 9e-05, 5e-05, 0.0014, 0.0, 0.00016, 0.00014, 0.00196, 0.0, 0.00046, 0.00039, 0.00405, 0.0, 0.0022, 0.0018, 0.01536, 0.0, 0.00917, 0.01141, 0.10408, 0.01482]\n",
      "loss: 0.001248  [  320/  391] grads: [0.00034, 0.0, 4e-05, 2e-05, 0.00027, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 3e-05, 1e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.00078, 0.0, 9e-05, 5e-05, 0.00084, 0.0, 0.00014, 7e-05, 0.00146, 0.0, 0.00066, 0.00036, 0.00402, 0.0, 0.00224, 0.0028, 0.02991, 0.00324]\n",
      "loss: 0.002391  [  352/  391] grads: [0.0003, 0.0, 7e-05, 6e-05, 0.00051, 0.0, 3e-05, 4e-05, 0.00047, 0.0, 3e-05, 3e-05, 0.00053, 0.0, 3e-05, 3e-05, 0.00057, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 6e-05, 4e-05, 0.00119, 0.0, 0.00011, 9e-05, 0.00148, 0.0, 0.00044, 0.00031, 0.00348, 0.0, 0.00207, 0.00155, 0.01346, 0.0, 0.00613, 0.00656, 0.07193, 0.00817]\n",
      "loss: 0.001593  [  168/  391] grads: [0.00049, 0.0, 7e-05, 3e-05, 0.0005, 0.0, 5e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 6e-05, 5e-05, 0.00142, 0.0, 0.00011, 8e-05, 0.00147, 0.0, 0.00032, 0.00023, 0.0026, 0.0, 0.00137, 0.001, 0.0088, 0.0, 0.00421, 0.00499, 0.04977, 0.0065]\n",
      "Epoch 59\n",
      "-------------------------------\n",
      "loss: 0.001084  [    0/  391] grads: [0.0003, 0.0, 2e-05, 6e-05, 0.00025, 0.0, 1e-05, 4e-05, 0.0003, 0.0, 3e-05, 4e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 6e-05, 5e-05, 0.00079, 0.0, 0.00019, 0.00015, 0.00155, 0.0, 0.00068, 0.00052, 0.00463, 0.0, 0.00234, 0.0034, 0.02729, 0.00481]\n",
      "loss: 0.000989  [   32/  391] grads: [0.00031, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 3e-05, 1e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 9e-05, 5e-05, 0.00096, 0.0, 0.00019, 0.00013, 0.00169, 0.0, 0.0003, 0.00017, 0.00239, 0.0, 0.00196, 0.0038, 0.02461, 0.0056]\n",
      "loss: 0.001826  [   64/  391] grads: [0.001, 0.0, 9e-05, 4e-05, 0.00058, 0.0, 7e-05, 3e-05, 0.00042, 0.0, 6e-05, 2e-05, 0.00038, 0.0, 5e-05, 1e-05, 0.00038, 0.0, 5e-05, 2e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 7e-05, 3e-05, 0.0011, 0.0, 0.00014, 7e-05, 0.00147, 0.0, 0.00026, 0.00016, 0.00273, 0.0, 0.00052, 0.00022, 0.00348, 0.0, 0.00395, 0.00707, 0.05398, 0.0102]\n",
      "loss: 0.002196  [   96/  391] grads: [0.00047, 0.0, 7e-05, 9e-05, 0.00051, 0.0, 5e-05, 7e-05, 0.00038, 0.0, 4e-05, 6e-05, 0.00042, 0.0, 3e-05, 4e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00065, 0.0, 6e-05, 4e-05, 0.00102, 0.0, 0.00012, 8e-05, 0.00131, 0.0, 0.00026, 0.00024, 0.00263, 0.0, 0.00154, 0.0011, 0.00998, 0.0, 0.00573, 0.00416, 0.07014, 0.00269]\n",
      "loss: 0.001014  [  128/  391] grads: [0.00027, 0.0, 4e-05, 1e-05, 0.00024, 0.0, 2e-05, 1e-05, 0.00014, 0.0, 2e-05, 1e-05, 0.00017, 0.0, 1e-05, 1e-05, 0.00019, 0.0, 1e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 6e-05, 5e-05, 0.00059, 0.0, 0.0001, 7e-05, 0.00102, 0.0, 0.00046, 0.00044, 0.00535, 0.00061]\n",
      "loss: 0.001470  [  160/  391] grads: [0.00144, 0.0, 0.00013, 2e-05, 0.00078, 0.0, 9e-05, 3e-05, 0.00054, 0.0, 8e-05, 1e-05, 0.00048, 0.0, 6e-05, 1e-05, 0.00051, 0.0, 6e-05, 3e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 6e-05, 3e-05, 0.00093, 0.0, 0.00012, 6e-05, 0.00118, 0.0, 0.00017, 0.00015, 0.00206, 0.0, 0.0003, 0.00024, 0.00304, 0.0, 0.00244, 0.00448, 0.03387, 0.00595]\n",
      "loss: 0.001708  [  192/  391] grads: [0.00116, 0.0, 8e-05, 0.00017, 0.00075, 0.0, 6e-05, 0.00013, 0.00063, 0.0, 8e-05, 0.00011, 0.00061, 0.0, 9e-05, 7e-05, 0.00065, 0.0, 7e-05, 4e-05, 0.00074, 0.0, 6e-05, 4e-05, 0.00078, 0.0, 8e-05, 5e-05, 0.00129, 0.0, 0.00017, 0.00013, 0.00189, 0.0, 0.00019, 0.00018, 0.0025, 0.0, 0.00091, 0.00087, 0.00746, 0.0, 0.0044, 0.00454, 0.05883, 0.0054]\n",
      "loss: 0.001811  [  224/  391] grads: [0.00061, 0.0, 0.0001, 8e-05, 0.00067, 0.0, 6e-05, 7e-05, 0.00047, 0.0, 5e-05, 6e-05, 0.00041, 0.0, 4e-05, 4e-05, 0.0004, 0.0, 5e-05, 2e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.0009, 0.0, 0.00011, 8e-05, 0.00133, 0.0, 0.00015, 0.00011, 0.00198, 0.0, 0.00099, 0.00093, 0.00788, 0.0, 0.0045, 0.00315, 0.05223, 0.00219]\n",
      "loss: 0.001198  [  256/  391] grads: [0.00046, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 2e-05, 1e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 5e-05, 3e-05, 0.00093, 0.0, 7e-05, 4e-05, 0.00093, 0.0, 7e-05, 4e-05, 0.0011, 0.0, 0.00035, 0.00021, 0.00356, 0.0, 0.00165, 0.00232, 0.01839, 0.00332]\n",
      "loss: 0.005953  [  288/  391] grads: [0.00174, 0.0, 0.00018, 0.00019, 0.00147, 0.0, 8e-05, 0.00015, 0.00145, 0.0, 0.00012, 0.00013, 0.00111, 0.0, 9e-05, 8e-05, 0.00117, 0.0, 0.00014, 7e-05, 0.00132, 0.0, 0.0001, 6e-05, 0.00138, 0.0, 0.00014, 9e-05, 0.00216, 0.0, 0.00026, 0.00021, 0.00304, 0.0, 0.00053, 0.00047, 0.00483, 0.0, 0.00217, 0.00194, 0.01633, 0.0, 0.01096, 0.01644, 0.12574, 0.02174]\n",
      "loss: 0.001787  [  320/  391] grads: [0.00068, 0.0, 4e-05, 4e-05, 0.00032, 0.0, 4e-05, 2e-05, 0.0003, 0.0, 5e-05, 2e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 4e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 4e-05, 0.00068, 0.0, 8e-05, 7e-05, 0.00079, 0.0, 0.00012, 0.00012, 0.00122, 0.0, 0.00039, 0.00013, 0.00228, 0.0, 0.00286, 0.00518, 0.03795, 0.00701]\n",
      "loss: 0.001783  [  352/  391] grads: [0.00062, 0.0, 6e-05, 8e-05, 0.00056, 0.0, 3e-05, 7e-05, 0.00054, 0.0, 4e-05, 6e-05, 0.00046, 0.0, 4e-05, 5e-05, 0.00052, 0.0, 6e-05, 3e-05, 0.00054, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 5e-05, 4e-05, 0.00093, 0.0, 0.0001, 9e-05, 0.00124, 0.0, 0.0003, 0.00027, 0.00235, 0.0, 0.00129, 0.00105, 0.00905, 0.0, 0.00547, 0.00692, 0.06654, 0.00945]\n",
      "loss: 0.001414  [  168/  391] grads: [0.00054, 0.0, 4e-05, 4e-05, 0.00032, 0.0, 3e-05, 4e-05, 0.00038, 0.0, 4e-05, 4e-05, 0.00039, 0.0, 3e-05, 3e-05, 0.00048, 0.0, 5e-05, 3e-05, 0.00054, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00092, 0.0, 9e-05, 8e-05, 0.00111, 0.0, 0.00032, 0.00024, 0.00216, 0.0, 0.00088, 0.0006, 0.00606, 0.0, 0.00376, 0.00586, 0.04608, 0.00853]\n",
      "Epoch 60\n",
      "-------------------------------\n",
      "loss: 0.001677  [    0/  391] grads: [0.00052, 0.0, 4e-05, 4e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 4e-05, 3e-05, 0.00054, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 6e-05, 4e-05, 0.00102, 0.0, 0.0001, 8e-05, 0.00127, 0.0, 0.00031, 0.00022, 0.00258, 0.0, 0.00059, 0.00023, 0.00433, 0.0, 0.00357, 0.00668, 0.04524, 0.01005]\n",
      "loss: 0.001355  [   32/  391] grads: [8e-05, 0.0, 1e-05, 5e-05, 0.00019, 0.0, 1e-05, 4e-05, 0.0002, 0.0, 2e-05, 3e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00056, 0.0, 7e-05, 6e-05, 0.00079, 0.0, 0.00019, 0.0001, 0.00188, 0.0, 0.00055, 0.00034, 0.00415, 0.0, 0.00286, 0.00457, 0.03698, 0.00683]\n",
      "loss: 0.001849  [   64/  391] grads: [0.00119, 0.0, 8e-05, 4e-05, 0.0005, 0.0, 5e-05, 2e-05, 0.00046, 0.0, 6e-05, 2e-05, 0.00045, 0.0, 6e-05, 2e-05, 0.00046, 0.0, 6e-05, 3e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00054, 0.0, 5e-05, 4e-05, 0.00091, 0.0, 0.00012, 8e-05, 0.00119, 0.0, 0.00025, 0.0002, 0.00217, 0.0, 0.00081, 0.00064, 0.00597, 0.0, 0.00418, 0.00755, 0.05039, 0.01092]\n",
      "loss: 0.001817  [   96/  391] grads: [0.00068, 0.0, 5e-05, 0.00011, 0.00047, 0.0, 4e-05, 9e-05, 0.00045, 0.0, 5e-05, 8e-05, 0.00047, 0.0, 4e-05, 5e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 7e-05, 4e-05, 0.00087, 0.0, 0.0001, 8e-05, 0.0011, 0.0, 0.00019, 0.00017, 0.00209, 0.0, 0.00117, 0.00098, 0.00797, 0.0, 0.00466, 0.00328, 0.0572, 0.00192]\n",
      "loss: 0.000848  [  128/  391] grads: [0.00039, 0.0, 4e-05, 1e-05, 0.00025, 0.0, 3e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00019, 0.0, 2e-05, 1e-05, 0.00017, 0.0, 2e-05, 1e-05, 0.0002, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 2e-05, 0.00056, 0.0, 0.00011, 5e-05, 0.00093, 0.0, 0.00021, 0.0001, 0.0018, 0.0, 0.00076, 0.00114, 0.01224, 0.00141]\n",
      "loss: 0.001139  [  160/  391] grads: [0.00082, 0.0, 4e-05, 8e-05, 0.00033, 0.0, 3e-05, 5e-05, 0.00032, 0.0, 3e-05, 3e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 5e-05, 4e-05, 0.00056, 0.0, 0.0001, 5e-05, 0.00089, 0.0, 0.00028, 0.00014, 0.00164, 0.0, 0.00215, 0.00338, 0.02777, 0.00448]\n",
      "loss: 0.001249  [  192/  391] grads: [0.00044, 0.0, 6e-05, 8e-05, 0.00049, 0.0, 5e-05, 6e-05, 0.00042, 0.0, 6e-05, 5e-05, 0.00043, 0.0, 6e-05, 4e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00066, 0.0, 6e-05, 5e-05, 0.00073, 0.0, 9e-05, 4e-05, 0.00103, 0.0, 0.00048, 0.00046, 0.00377, 0.0, 0.00215, 0.00157, 0.02394, 0.00128]\n",
      "loss: 0.001705  [  224/  391] grads: [0.00046, 0.0, 6e-05, 0.00011, 0.00053, 0.0, 4e-05, 9e-05, 0.00053, 0.0, 5e-05, 8e-05, 0.00045, 0.0, 6e-05, 5e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 9e-05, 8e-05, 0.00109, 0.0, 0.00016, 0.00013, 0.00173, 0.0, 0.00106, 0.00096, 0.0071, 0.0, 0.00425, 0.00316, 0.04697, 0.00247]\n",
      "loss: 0.001195  [  256/  391] grads: [0.00022, 0.0, 2e-05, 2e-05, 0.00015, 0.0, 2e-05, 2e-05, 0.00026, 0.0, 3e-05, 3e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 6e-05, 4e-05, 0.00066, 0.0, 0.00012, 8e-05, 0.00108, 0.0, 0.00045, 0.0003, 0.00305, 0.0, 0.00198, 0.00172, 0.02244, 0.00175]\n",
      "loss: 0.004008  [  288/  391] grads: [0.00089, 0.0, 7e-05, 0.00014, 0.00068, 0.0, 7e-05, 0.00012, 0.00069, 0.0, 0.0001, 0.00011, 0.00072, 0.0, 9e-05, 7e-05, 0.00084, 0.0, 8e-05, 3e-05, 0.00089, 0.0, 6e-05, 3e-05, 0.00095, 0.0, 9e-05, 5e-05, 0.00152, 0.0, 0.00017, 0.00014, 0.00195, 0.0, 0.0005, 0.0004, 0.00385, 0.0, 0.00212, 0.00164, 0.01422, 0.0, 0.0092, 0.01217, 0.10276, 0.01593]\n",
      "loss: 0.001669  [  320/  391] grads: [0.00142, 0.0, 9e-05, 6e-05, 0.00066, 0.0, 7e-05, 5e-05, 0.00066, 0.0, 8e-05, 3e-05, 0.00063, 0.0, 8e-05, 3e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 6e-05, 4e-05, 0.00086, 0.0, 0.0001, 8e-05, 0.00105, 0.0, 0.00013, 0.00012, 0.00153, 0.0, 0.00043, 0.00015, 0.00278, 0.0, 0.00328, 0.00589, 0.04589, 0.00792]\n",
      "loss: 0.001570  [  352/  391] grads: [0.00063, 0.0, 8e-05, 6e-05, 0.00058, 0.0, 6e-05, 6e-05, 0.00047, 0.0, 6e-05, 5e-05, 0.00045, 0.0, 5e-05, 3e-05, 0.00059, 0.0, 6e-05, 4e-05, 0.00069, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 8e-05, 5e-05, 0.00118, 0.0, 0.00014, 0.00011, 0.00151, 0.0, 0.00025, 0.00025, 0.00215, 0.0, 0.00093, 0.00079, 0.0064, 0.0, 0.00449, 0.00622, 0.05282, 0.00854]\n",
      "loss: 0.000891  [  168/  391] grads: [0.00015, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00061, 0.0, 7e-05, 4e-05, 0.00074, 0.0, 0.00018, 0.0001, 0.00136, 0.0, 0.00042, 0.00024, 0.00313, 0.0, 0.00138, 0.00116, 0.01641, 0.00136]\n",
      "Epoch 61\n",
      "-------------------------------\n",
      "loss: 0.000999  [    0/  391] grads: [0.00023, 0.0, 2e-05, 4e-05, 0.00023, 0.0, 3e-05, 3e-05, 0.00035, 0.0, 1e-05, 3e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00061, 0.0, 6e-05, 4e-05, 0.00066, 0.0, 0.00018, 0.00012, 0.00136, 0.0, 0.00072, 0.00048, 0.00457, 0.0, 0.0024, 0.00245, 0.02803, 0.00304]\n",
      "loss: 0.001710  [   32/  391] grads: [0.00068, 0.0, 6e-05, 3e-05, 0.00042, 0.0, 4e-05, 3e-05, 0.00044, 0.0, 6e-05, 2e-05, 0.00048, 0.0, 6e-05, 2e-05, 0.00058, 0.0, 7e-05, 5e-05, 0.00056, 0.0, 4e-05, 2e-05, 0.00065, 0.0, 6e-05, 4e-05, 0.00092, 0.0, 0.0001, 0.0001, 0.0011, 0.0, 0.00021, 0.00021, 0.00184, 0.0, 0.00056, 0.00034, 0.00383, 0.0, 0.0043, 0.00774, 0.05532, 0.01135]\n",
      "loss: 0.001758  [   64/  391] grads: [0.00074, 0.0, 6e-05, 4e-05, 0.00037, 0.0, 4e-05, 3e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00027, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 3e-05, 2e-05, 0.00029, 0.0, 3e-05, 1e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 8e-05, 5e-05, 0.00083, 0.0, 0.00019, 0.0001, 0.00165, 0.0, 0.00061, 0.00022, 0.00376, 0.0, 0.00346, 0.00557, 0.04827, 0.00794]\n",
      "loss: 0.001402  [   96/  391] grads: [0.00066, 0.0, 4e-05, 6e-05, 0.00038, 0.0, 3e-05, 5e-05, 0.00036, 0.0, 4e-05, 4e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 2e-05, 2e-05, 0.00048, 0.0, 5e-05, 4e-05, 0.00073, 0.0, 8e-05, 7e-05, 0.001, 0.0, 0.00022, 0.00018, 0.0019, 0.0, 0.00086, 0.00055, 0.0057, 0.0, 0.00352, 0.00214, 0.04261, 0.00034]\n",
      "loss: 0.001118  [  128/  391] grads: [0.00054, 0.0, 4e-05, 1e-05, 0.00026, 0.0, 3e-05, 1e-05, 0.0002, 0.0, 2e-05, 1e-05, 0.00018, 0.0, 2e-05, 1e-05, 0.00019, 0.0, 2e-05, 1e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00039, 0.0, 0.0001, 4e-05, 0.0008, 0.0, 0.00025, 0.00011, 0.00177, 0.0, 0.0018, 0.00306, 0.02451, 0.00428]\n",
      "loss: 0.000900  [  160/  391] grads: [0.00015, 0.0, 1e-05, 1e-05, 0.00017, 0.0, 1e-05, 1e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00044, 0.0, 5e-05, 2e-05, 0.00075, 0.0, 6e-05, 3e-05, 0.0007, 0.0, 6e-05, 4e-05, 0.0007, 0.0, 0.0001, 9e-05, 0.00111, 0.0, 0.00065, 0.00086, 0.00734, 0.00121]\n",
      "loss: 0.001085  [  192/  391] grads: [0.00031, 0.0, 4e-05, 9e-05, 0.00037, 0.0, 3e-05, 7e-05, 0.00036, 0.0, 4e-05, 6e-05, 0.00041, 0.0, 5e-05, 4e-05, 0.00042, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00066, 0.0, 7e-05, 6e-05, 0.00077, 0.0, 0.0001, 0.00011, 0.00117, 0.0, 0.00044, 0.00045, 0.00337, 0.0, 0.00218, 0.00221, 0.0261, 0.00259]\n",
      "loss: 0.001229  [  224/  391] grads: [0.00036, 0.0, 3e-05, 0.0001, 0.00038, 0.0, 2e-05, 7e-05, 0.00034, 0.0, 3e-05, 7e-05, 0.00031, 0.0, 4e-05, 5e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 3e-05, 1e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 9e-05, 7e-05, 0.00096, 0.0, 0.00021, 0.00019, 0.00182, 0.0, 0.00086, 0.00069, 0.00572, 0.0, 0.00361, 0.00322, 0.04033, 0.00372]\n",
      "loss: 0.001982  [  256/  391] grads: [0.00121, 0.0, 0.00011, 6e-05, 0.00065, 0.0, 8e-05, 5e-05, 0.00047, 0.0, 6e-05, 3e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00048, 0.0, 6e-05, 3e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00048, 0.0, 5e-05, 5e-05, 0.00067, 0.0, 9e-05, 8e-05, 0.00101, 0.0, 0.00015, 0.00012, 0.00163, 0.0, 0.00061, 0.0003, 0.00355, 0.0, 0.00284, 0.00421, 0.03702, 0.00531]\n",
      "loss: 0.003958  [  288/  391] grads: [0.0009, 0.0, 4e-05, 9e-05, 0.00048, 0.0, 3e-05, 8e-05, 0.00052, 0.0, 5e-05, 8e-05, 0.00053, 0.0, 6e-05, 6e-05, 0.00073, 0.0, 8e-05, 5e-05, 0.00085, 0.0, 7e-05, 3e-05, 0.001, 0.0, 0.0001, 6e-05, 0.00143, 0.0, 0.00016, 0.00013, 0.0018, 0.0, 0.00047, 0.00035, 0.00356, 0.0, 0.00194, 0.00152, 0.01242, 0.0, 0.0081, 0.0125, 0.09134, 0.01648]\n",
      "loss: 0.001352  [  320/  391] grads: [0.00038, 0.0, 3e-05, 2e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 2e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 6e-05, 3e-05, 0.00067, 0.0, 9e-05, 5e-05, 0.00112, 0.0, 0.00036, 0.00024, 0.00339, 0.0, 0.00227, 0.00284, 0.02568, 0.00394]\n",
      "loss: 0.001864  [  352/  391] grads: [0.00162, 0.0, 9e-05, 5e-05, 0.0007, 0.0, 4e-05, 6e-05, 0.00077, 0.0, 8e-05, 7e-05, 0.00068, 0.0, 8e-05, 5e-05, 0.00082, 0.0, 0.0001, 6e-05, 0.0009, 0.0, 7e-05, 3e-05, 0.001, 0.0, 8e-05, 6e-05, 0.00137, 0.0, 0.00014, 0.00013, 0.00153, 0.0, 0.00026, 0.00025, 0.00242, 0.0, 0.00118, 0.00107, 0.00856, 0.0, 0.00537, 0.00767, 0.06624, 0.01011]\n",
      "loss: 0.001347  [  168/  391] grads: [0.00125, 0.0, 4e-05, 4e-05, 0.00036, 0.0, 2e-05, 4e-05, 0.0004, 0.0, 3e-05, 5e-05, 0.00045, 0.0, 4e-05, 4e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00059, 0.0, 4e-05, 2e-05, 0.00071, 0.0, 7e-05, 4e-05, 0.00096, 0.0, 0.00011, 9e-05, 0.00117, 0.0, 0.00031, 0.00022, 0.00215, 0.0, 0.00085, 0.00057, 0.00598, 0.0, 0.00351, 0.0051, 0.04122, 0.00704]\n",
      "Epoch 62\n",
      "-------------------------------\n",
      "loss: 0.001212  [    0/  391] grads: [0.00064, 0.0, 4e-05, 2e-05, 0.00035, 0.0, 4e-05, 1e-05, 0.00037, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 3e-05, 1e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 6e-05, 3e-05, 0.00079, 0.0, 0.00011, 7e-05, 0.00112, 0.0, 0.00036, 0.0002, 0.00238, 0.0, 0.00089, 0.0005, 0.00651, 0.0, 0.0025, 0.00373, 0.02862, 0.0055]\n",
      "loss: 0.001295  [   32/  391] grads: [0.00044, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 3e-05, 1e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 6e-05, 4e-05, 0.00092, 0.0, 9e-05, 6e-05, 0.00103, 0.0, 0.00026, 0.00014, 0.00183, 0.0, 0.00056, 0.00033, 0.00504, 0.0, 0.00263, 0.00474, 0.02905, 0.00716]\n",
      "loss: 0.001573  [   64/  391] grads: [0.00023, 0.0, 3e-05, 1e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00045, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 8e-05, 5e-05, 0.00072, 0.0, 0.00012, 7e-05, 0.00125, 0.0, 0.00048, 0.00026, 0.00343, 0.0, 0.00337, 0.00544, 0.04256, 0.00791]\n",
      "loss: 0.001765  [   96/  391] grads: [0.00091, 0.0, 5e-05, 9e-05, 0.0005, 0.0, 3e-05, 8e-05, 0.00076, 0.0, 0.0001, 0.0001, 0.00067, 0.0, 0.00011, 8e-05, 0.00072, 0.0, 5e-05, 3e-05, 0.00059, 0.0, 4e-05, 2e-05, 0.00068, 0.0, 8e-05, 5e-05, 0.00116, 0.0, 0.00011, 0.0001, 0.00138, 0.0, 0.00026, 0.00025, 0.00217, 0.0, 0.00121, 0.00101, 0.00798, 0.0, 0.00514, 0.00498, 0.05952, 0.0053]\n",
      "loss: 0.001136  [  128/  391] grads: [0.00073, 0.0, 6e-05, 3e-05, 0.00041, 0.0, 5e-05, 2e-05, 0.00033, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00035, 0.0, 3e-05, 1e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 2e-05, 0.0008, 0.0, 9e-05, 3e-05, 0.00104, 0.0, 0.00022, 0.0001, 0.00192, 0.0, 0.00044, 0.00019, 0.00409, 0.0, 0.00124, 0.00134, 0.0203, 0.00136]\n",
      "loss: 0.001126  [  160/  391] grads: [0.00049, 0.0, 2e-05, 8e-05, 0.00026, 0.0, 2e-05, 6e-05, 0.00028, 0.0, 2e-05, 3e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 2e-05, 2e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 6e-05, 5e-05, 0.0008, 0.0, 0.00013, 9e-05, 0.00111, 0.0, 0.00026, 0.0001, 0.00179, 0.0, 0.00181, 0.0033, 0.02167, 0.00453]\n",
      "loss: 0.001305  [  192/  391] grads: [0.00063, 0.0, 9e-05, 9e-05, 0.00066, 0.0, 6e-05, 7e-05, 0.00057, 0.0, 7e-05, 5e-05, 0.00052, 0.0, 7e-05, 4e-05, 0.00045, 0.0, 5e-05, 2e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 6e-05, 4e-05, 0.00081, 0.0, 7e-05, 6e-05, 0.00098, 0.0, 0.00013, 9e-05, 0.00141, 0.0, 0.0008, 0.00077, 0.00551, 0.0, 0.00334, 0.00255, 0.03788, 0.00193]\n",
      "loss: 0.001186  [  224/  391] grads: [0.00041, 0.0, 5e-05, 7e-05, 0.0004, 0.0, 4e-05, 6e-05, 0.00033, 0.0, 4e-05, 5e-05, 0.00032, 0.0, 4e-05, 3e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 4e-05, 3e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 0.0001, 8e-05, 0.00096, 0.0, 0.00015, 0.00013, 0.00143, 0.0, 0.00063, 0.00054, 0.00418, 0.0, 0.00264, 0.00272, 0.02966, 0.0033]\n",
      "loss: 0.001898  [  256/  391] grads: [0.00177, 0.0, 0.00012, 5e-05, 0.00071, 0.0, 8e-05, 4e-05, 0.00052, 0.0, 7e-05, 3e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00045, 0.0, 6e-05, 3e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 5e-05, 4e-05, 0.00077, 0.0, 9e-05, 7e-05, 0.00096, 0.0, 0.00011, 8e-05, 0.00135, 0.0, 0.0005, 0.00022, 0.00295, 0.0, 0.00286, 0.00471, 0.03648, 0.00615]\n",
      "loss: 0.003680  [  288/  391] grads: [0.00072, 0.0, 6e-05, 0.00014, 0.00063, 0.0, 6e-05, 0.00012, 0.00057, 0.0, 6e-05, 9e-05, 0.00057, 0.0, 8e-05, 7e-05, 0.00069, 0.0, 7e-05, 3e-05, 0.00074, 0.0, 5e-05, 2e-05, 0.00079, 0.0, 7e-05, 5e-05, 0.00123, 0.0, 0.00013, 0.00013, 0.00168, 0.0, 0.00045, 0.00033, 0.00338, 0.0, 0.00195, 0.0015, 0.01299, 0.0, 0.00822, 0.01132, 0.09094, 0.01493]\n",
      "loss: 0.001328  [  320/  391] grads: [0.00022, 0.0, 3e-05, 3e-05, 0.00022, 0.0, 2e-05, 2e-05, 0.00021, 0.0, 1e-05, 2e-05, 0.00027, 0.0, 1e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 7e-05, 4e-05, 0.00076, 0.0, 0.00023, 0.00014, 0.00178, 0.0, 0.00089, 0.00053, 0.00528, 0.0, 0.00293, 0.00209, 0.03485, 0.00117]\n",
      "loss: 0.002185  [  352/  391] grads: [0.0008, 0.0, 0.00015, 4e-05, 0.00091, 0.0, 0.0001, 5e-05, 0.00071, 0.0, 9e-05, 4e-05, 0.00069, 0.0, 5e-05, 4e-05, 0.00087, 0.0, 0.0001, 7e-05, 0.00101, 0.0, 7e-05, 5e-05, 0.00106, 0.0, 0.0001, 8e-05, 0.00159, 0.0, 0.00019, 0.00017, 0.00202, 0.0, 0.00033, 0.00036, 0.00301, 0.0, 0.00134, 0.00115, 0.00892, 0.0, 0.00638, 0.00907, 0.07684, 0.01276]\n",
      "loss: 0.001423  [  168/  391] grads: [0.00023, 0.0, 5e-05, 5e-05, 0.0004, 0.0, 3e-05, 4e-05, 0.00038, 0.0, 5e-05, 6e-05, 0.00047, 0.0, 4e-05, 5e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 2e-05, 2e-05, 0.0006, 0.0, 6e-05, 4e-05, 0.00085, 0.0, 8e-05, 7e-05, 0.00113, 0.0, 0.00036, 0.00025, 0.00254, 0.0, 0.00132, 0.00093, 0.00819, 0.0, 0.00399, 0.00509, 0.04593, 0.00679]\n",
      "Epoch 63\n",
      "-------------------------------\n",
      "loss: 0.001136  [    0/  391] grads: [0.00017, 0.0, 2e-05, 2e-05, 0.00018, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 7e-05, 7e-05, 0.00072, 0.0, 0.00017, 0.00014, 0.00136, 0.0, 0.00038, 0.00013, 0.00246, 0.0, 0.00268, 0.00488, 0.03352, 0.00716]\n",
      "loss: 0.001104  [   32/  391] grads: [0.0002, 0.0, 2e-05, 3e-05, 0.00018, 0.0, 2e-05, 2e-05, 0.00019, 0.0, 1e-05, 1e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 2e-05, 2e-05, 0.00048, 0.0, 4e-05, 4e-05, 0.00058, 0.0, 5e-05, 6e-05, 0.00064, 0.0, 0.00018, 0.00012, 0.0013, 0.0, 0.00036, 0.00021, 0.00316, 0.0, 0.00237, 0.00431, 0.02767, 0.00638]\n",
      "loss: 0.003884  [   64/  391] grads: [0.00292, 0.0, 0.00036, 0.00039, 0.00216, 0.0, 0.0002, 0.0003, 0.00163, 0.0, 0.00017, 0.00022, 0.00175, 0.0, 0.00013, 0.00015, 0.00196, 0.0, 0.00019, 0.00015, 0.00207, 0.0, 0.00015, 8e-05, 0.00206, 0.0, 0.00017, 0.00013, 0.00253, 0.0, 0.00029, 0.00025, 0.00286, 0.0, 0.00054, 0.00049, 0.00506, 0.0, 0.00141, 0.00057, 0.00785, 0.0, 0.00689, 0.01321, 0.09177, 0.01843]\n",
      "loss: 0.001724  [   96/  391] grads: [0.00156, 0.0, 9e-05, 9e-05, 0.00064, 0.0, 7e-05, 7e-05, 0.00056, 0.0, 9e-05, 6e-05, 0.00058, 0.0, 0.0001, 5e-05, 0.00065, 0.0, 7e-05, 3e-05, 0.00061, 0.0, 4e-05, 3e-05, 0.00068, 0.0, 9e-05, 5e-05, 0.00116, 0.0, 0.0001, 0.0001, 0.00142, 0.0, 0.00026, 0.00025, 0.00231, 0.0, 0.00122, 0.00095, 0.00829, 0.0, 0.00514, 0.00433, 0.06002, 0.00403]\n",
      "loss: 0.001286  [  128/  391] grads: [0.00027, 0.0, 1e-05, 3e-05, 0.00022, 0.0, 1e-05, 3e-05, 0.0002, 0.0, 1e-05, 2e-05, 0.00025, 0.0, 2e-05, 2e-05, 0.00029, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 8e-05, 6e-05, 0.00101, 0.0, 0.00026, 0.00019, 0.0021, 0.0, 0.00064, 0.00031, 0.00465, 0.0, 0.00305, 0.00243, 0.03578, 0.0022]\n",
      "loss: 0.001465  [  160/  391] grads: [0.00097, 0.0, 0.00012, 4e-05, 0.00077, 0.0, 6e-05, 6e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 5e-05, 4e-05, 0.00066, 0.0, 8e-05, 4e-05, 0.00068, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 5e-05, 5e-05, 0.00098, 0.0, 0.00012, 9e-05, 0.00125, 0.0, 0.00024, 0.00022, 0.00236, 0.0, 0.00033, 0.0003, 0.00282, 0.0, 0.00286, 0.00543, 0.03549, 0.00704]\n",
      "loss: 0.001334  [  192/  391] grads: [0.00078, 0.0, 7e-05, 0.00011, 0.00059, 0.0, 5e-05, 8e-05, 0.00048, 0.0, 8e-05, 8e-05, 0.00059, 0.0, 8e-05, 5e-05, 0.00053, 0.0, 5e-05, 2e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 6e-05, 4e-05, 0.00094, 0.0, 8e-05, 7e-05, 0.00116, 0.0, 0.00014, 8e-05, 0.00158, 0.0, 0.00055, 0.00063, 0.00442, 0.0, 0.0023, 0.00146, 0.02609, 0.0001]\n",
      "loss: 0.001838  [  224/  391] grads: [0.00053, 0.0, 8e-05, 7e-05, 0.00057, 0.0, 5e-05, 6e-05, 0.00039, 0.0, 5e-05, 5e-05, 0.00041, 0.0, 4e-05, 4e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 6e-05, 4e-05, 0.00086, 0.0, 8e-05, 6e-05, 0.00105, 0.0, 0.00019, 0.00012, 0.00171, 0.0, 0.00103, 0.0009, 0.00654, 0.0, 0.00409, 0.00265, 0.04428, 0.00078]\n",
      "loss: 0.001381  [  256/  391] grads: [0.00025, 0.0, 2e-05, 2e-05, 0.00024, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 3e-05, 3e-05, 0.00068, 0.0, 6e-05, 4e-05, 0.00077, 0.0, 0.00012, 6e-05, 0.0014, 0.0, 0.00039, 0.00023, 0.00268, 0.0, 0.00216, 0.00248, 0.02377, 0.00298]\n",
      "loss: 0.004902  [  288/  391] grads: [0.00132, 0.0, 9e-05, 0.00011, 0.00078, 0.0, 6e-05, 9e-05, 0.00068, 0.0, 0.0001, 9e-05, 0.00079, 0.0, 0.0001, 7e-05, 0.00089, 0.0, 9e-05, 5e-05, 0.00096, 0.0, 6e-05, 4e-05, 0.00104, 0.0, 9e-05, 6e-05, 0.00149, 0.0, 0.00017, 0.00014, 0.00206, 0.0, 0.00061, 0.00045, 0.00431, 0.0, 0.00229, 0.00187, 0.01546, 0.0, 0.00968, 0.01422, 0.10542, 0.01843]\n",
      "loss: 0.001105  [  320/  391] grads: [0.00033, 0.0, 3e-05, 2e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00095, 0.0, 0.0001, 5e-05, 0.00115, 0.0, 0.00024, 0.00014, 0.00198, 0.0, 0.00065, 0.00038, 0.00465, 0.0, 0.00239, 0.00189, 0.0292, 0.00121]\n",
      "loss: 0.002327  [  352/  391] grads: [0.00076, 0.0, 6e-05, 8e-05, 0.00049, 0.0, 3e-05, 9e-05, 0.00051, 0.0, 6e-05, 0.0001, 0.00054, 0.0, 7e-05, 8e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 4e-05, 3e-05, 0.0009, 0.0, 0.0001, 6e-05, 0.0016, 0.0, 0.00021, 0.00015, 0.00236, 0.0, 0.00056, 0.00041, 0.00391, 0.0, 0.00131, 0.00098, 0.00996, 0.0, 0.00662, 0.009, 0.07606, 0.0128]\n",
      "loss: 0.001352  [  168/  391] grads: [0.0011, 0.0, 5e-05, 0.00011, 0.00051, 0.0, 4e-05, 0.00011, 0.00061, 0.0, 5e-05, 0.00011, 0.00053, 0.0, 5e-05, 7e-05, 0.00063, 0.0, 4e-05, 4e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00077, 0.0, 7e-05, 4e-05, 0.00111, 0.0, 0.00012, 9e-05, 0.00132, 0.0, 0.00031, 0.00022, 0.00204, 0.0, 0.00074, 0.00052, 0.00547, 0.0, 0.00369, 0.00582, 0.04231, 0.0084]\n",
      "Epoch 64\n",
      "-------------------------------\n",
      "loss: 0.001276  [    0/  391] grads: [0.0009, 0.0, 3e-05, 5e-05, 0.0003, 0.0, 1e-05, 5e-05, 0.00038, 0.0, 5e-05, 6e-05, 0.00042, 0.0, 7e-05, 6e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 2e-05, 2e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 8e-05, 7e-05, 0.00098, 0.0, 0.00023, 0.00017, 0.00163, 0.0, 0.00064, 0.00049, 0.00442, 0.0, 0.00298, 0.00473, 0.03447, 0.00682]\n",
      "loss: 0.001006  [   32/  391] grads: [0.00061, 0.0, 1e-05, 1e-05, 0.00021, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 2e-05, 2e-05, 0.00046, 0.0, 3e-05, 3e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00068, 0.0, 0.00014, 9e-05, 0.00112, 0.0, 0.00044, 0.00028, 0.00306, 0.0, 0.00162, 0.00217, 0.01874, 0.00284]\n",
      "loss: 0.002122  [   64/  391] grads: [0.00043, 0.0, 5e-05, 4e-05, 0.00034, 0.0, 3e-05, 3e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 3e-05, 1e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 0.0001, 6e-05, 0.00096, 0.0, 0.0002, 9e-05, 0.00204, 0.0, 0.0006, 0.0002, 0.00437, 0.0, 0.00454, 0.00767, 0.05921, 0.01092]\n",
      "loss: 0.001842  [   96/  391] grads: [0.00137, 0.0, 0.0001, 6e-05, 0.00076, 0.0, 5e-05, 6e-05, 0.00077, 0.0, 9e-05, 6e-05, 0.00061, 0.0, 0.0001, 5e-05, 0.00072, 0.0, 0.0001, 6e-05, 0.00074, 0.0, 5e-05, 4e-05, 0.00076, 0.0, 9e-05, 6e-05, 0.00131, 0.0, 0.00012, 0.00011, 0.00154, 0.0, 0.00027, 0.00023, 0.00211, 0.0, 0.00093, 0.00088, 0.00654, 0.0, 0.00448, 0.00622, 0.05224, 0.00784]\n",
      "loss: 0.001851  [  128/  391] grads: [0.0006, 0.0, 7e-05, 6e-05, 0.00054, 0.0, 6e-05, 5e-05, 0.00052, 0.0, 7e-05, 6e-05, 0.00052, 0.0, 8e-05, 6e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00057, 0.0, 4e-05, 3e-05, 0.00064, 0.0, 8e-05, 4e-05, 0.00098, 0.0, 9e-05, 8e-05, 0.00116, 0.0, 0.00018, 0.00015, 0.0016, 0.0, 0.00062, 0.00058, 0.00463, 0.0, 0.0047, 0.00757, 0.05784, 0.0104]\n",
      "loss: 0.001027  [  160/  391] grads: [0.00017, 0.0, 1e-05, 2e-05, 0.00025, 0.0, 1e-05, 1e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00048, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 6e-05, 4e-05, 0.00077, 0.0, 6e-05, 5e-05, 0.00074, 0.0, 0.00017, 0.00012, 0.00172, 0.0, 0.00116, 0.00168, 0.01312, 0.00233]\n",
      "loss: 0.001198  [  192/  391] grads: [0.00045, 0.0, 5e-05, 5e-05, 0.0004, 0.0, 3e-05, 4e-05, 0.00037, 0.0, 4e-05, 3e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 5e-05, 3e-05, 0.0008, 0.0, 7e-05, 4e-05, 0.00086, 0.0, 0.00012, 9e-05, 0.00127, 0.0, 0.0004, 0.00041, 0.00329, 0.0, 0.00212, 0.0013, 0.02384, 0.00056]\n",
      "loss: 0.001716  [  224/  391] grads: [0.00063, 0.0, 7e-05, 3e-05, 0.00051, 0.0, 5e-05, 2e-05, 0.00045, 0.0, 5e-05, 2e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 5e-05, 2e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 5e-05, 4e-05, 0.00088, 0.0, 9e-05, 6e-05, 0.0011, 0.0, 0.00017, 0.00012, 0.00161, 0.0, 0.00101, 0.00076, 0.00641, 0.0, 0.00387, 0.0026, 0.04689, 0.00129]\n",
      "loss: 0.001576  [  256/  391] grads: [0.00054, 0.0, 5e-05, 0.00015, 0.00066, 0.0, 4e-05, 0.00012, 0.00076, 0.0, 6e-05, 0.0001, 0.00073, 0.0, 0.0001, 8e-05, 0.00074, 0.0, 6e-05, 3e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.00066, 0.0, 7e-05, 3e-05, 0.00108, 0.0, 0.00012, 8e-05, 0.00141, 0.0, 0.00016, 0.00013, 0.00203, 0.0, 0.00095, 0.00076, 0.00654, 0.0, 0.00433, 0.00474, 0.05113, 0.00562]\n",
      "loss: 0.004114  [  288/  391] grads: [0.00073, 0.0, 8e-05, 0.00016, 0.00085, 0.0, 6e-05, 0.00014, 0.00077, 0.0, 0.0001, 0.00012, 0.00094, 0.0, 0.00014, 0.0001, 0.00099, 0.0, 9e-05, 4e-05, 0.00087, 0.0, 7e-05, 4e-05, 0.00105, 0.0, 0.00012, 7e-05, 0.00189, 0.0, 0.00021, 0.00016, 0.00237, 0.0, 0.0005, 0.00037, 0.00368, 0.0, 0.00186, 0.00151, 0.01303, 0.0, 0.00932, 0.01246, 0.10218, 0.01575]\n",
      "loss: 0.001402  [  320/  391] grads: [0.00064, 0.0, 4e-05, 4e-05, 0.00037, 0.0, 3e-05, 3e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 3e-05, 1e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00092, 0.0, 8e-05, 5e-05, 0.00095, 0.0, 0.00012, 7e-05, 0.00122, 0.0, 0.00028, 0.00021, 0.00269, 0.0, 0.0023, 0.00389, 0.02692, 0.00532]\n",
      "loss: 0.001939  [  352/  391] grads: [0.00199, 0.0, 8e-05, 0.00016, 0.00129, 0.0, 4e-05, 0.00014, 0.00081, 0.0, 0.0001, 0.00013, 0.00092, 0.0, 0.00016, 0.00011, 0.00099, 0.0, 9e-05, 5e-05, 0.00092, 0.0, 7e-05, 4e-05, 0.00108, 0.0, 0.00012, 7e-05, 0.00165, 0.0, 0.00016, 0.00014, 0.00185, 0.0, 0.0003, 0.0003, 0.0026, 0.0, 0.00126, 0.00118, 0.00867, 0.0, 0.00597, 0.00745, 0.06945, 0.00955]\n",
      "loss: 0.001322  [  168/  391] grads: [0.00044, 0.0, 3e-05, 5e-05, 0.00034, 0.0, 2e-05, 5e-05, 0.00039, 0.0, 3e-05, 5e-05, 0.00043, 0.0, 5e-05, 4e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00057, 0.0, 3e-05, 2e-05, 0.00068, 0.0, 6e-05, 3e-05, 0.00086, 0.0, 7e-05, 6e-05, 0.00096, 0.0, 0.00024, 0.00019, 0.00173, 0.0, 0.00075, 0.00053, 0.00501, 0.0, 0.00312, 0.00409, 0.03658, 0.00529]\n",
      "Epoch 65\n",
      "-------------------------------\n",
      "loss: 0.000926  [    0/  391] grads: [0.00026, 0.0, 4e-05, 3e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 3e-05, 3e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00068, 0.0, 8e-05, 5e-05, 0.00078, 0.0, 0.00019, 0.00012, 0.0013, 0.0, 0.00045, 0.00024, 0.00315, 0.0, 0.0018, 0.00292, 0.02014, 0.0041]\n",
      "loss: 0.001583  [   32/  391] grads: [0.00016, 0.0, 3e-05, 7e-05, 0.00035, 0.0, 3e-05, 5e-05, 0.00038, 0.0, 4e-05, 4e-05, 0.00043, 0.0, 5e-05, 3e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00063, 0.0, 6e-05, 3e-05, 0.00078, 0.0, 7e-05, 5e-05, 0.00086, 0.0, 0.00022, 0.00012, 0.00197, 0.0, 0.00046, 0.00035, 0.00469, 0.0, 0.00333, 0.00566, 0.03994, 0.0083]\n",
      "loss: 0.002497  [   64/  391] grads: [0.00013, 0.0, 2e-05, 5e-05, 0.00021, 0.0, 1e-05, 4e-05, 0.00025, 0.0, 3e-05, 4e-05, 0.0003, 0.0, 3e-05, 3e-05, 0.00033, 0.0, 4e-05, 3e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00068, 0.0, 7e-05, 6e-05, 0.00087, 0.0, 0.00021, 0.00013, 0.00226, 0.0, 0.00069, 0.00036, 0.00557, 0.0, 0.00517, 0.00881, 0.06337, 0.01265]\n",
      "loss: 0.001414  [   96/  391] grads: [0.00055, 0.0, 3e-05, 9e-05, 0.00037, 0.0, 2e-05, 8e-05, 0.00037, 0.0, 4e-05, 7e-05, 0.00036, 0.0, 6e-05, 6e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 5e-05, 3e-05, 0.00068, 0.0, 7e-05, 5e-05, 0.00087, 0.0, 0.00015, 0.00016, 0.00157, 0.0, 0.00097, 0.0008, 0.00592, 0.0, 0.00359, 0.00243, 0.04274, 0.00056]\n",
      "loss: 0.001132  [  128/  391] grads: [0.00068, 0.0, 7e-05, 6e-05, 0.0005, 0.0, 5e-05, 4e-05, 0.00038, 0.0, 5e-05, 3e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 3e-05, 1e-05, 0.00048, 0.0, 5e-05, 2e-05, 0.00073, 0.0, 7e-05, 4e-05, 0.00088, 0.0, 0.00012, 6e-05, 0.00129, 0.0, 0.00037, 0.00041, 0.00289, 0.0, 0.00175, 0.00159, 0.02047, 0.00155]\n",
      "loss: 0.000962  [  160/  391] grads: [0.00038, 0.0, 3e-05, 4e-05, 0.00028, 0.0, 2e-05, 3e-05, 0.00028, 0.0, 2e-05, 3e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00066, 0.0, 0.00013, 9e-05, 0.00112, 0.0, 0.00051, 0.0003, 0.0033, 0.0, 0.00198, 0.00294, 0.02186, 0.00385]\n",
      "loss: 0.001448  [  192/  391] grads: [0.00049, 0.0, 5e-05, 7e-05, 0.00043, 0.0, 4e-05, 5e-05, 0.00035, 0.0, 5e-05, 5e-05, 0.00033, 0.0, 6e-05, 4e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 5e-05, 3e-05, 0.00062, 0.0, 5e-05, 4e-05, 0.00076, 0.0, 0.00014, 0.00012, 0.00138, 0.0, 0.00091, 0.0008, 0.00552, 0.0, 0.00337, 0.00235, 0.03719, 0.00106]\n",
      "loss: 0.001729  [  224/  391] grads: [0.00094, 0.0, 6e-05, 6e-05, 0.0005, 0.0, 4e-05, 5e-05, 0.00042, 0.0, 5e-05, 4e-05, 0.00036, 0.0, 5e-05, 3e-05, 0.00042, 0.0, 6e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 6e-05, 4e-05, 0.00089, 0.0, 9e-05, 8e-05, 0.00113, 0.0, 0.00026, 0.00019, 0.00204, 0.0, 0.0013, 0.00107, 0.00774, 0.0, 0.00461, 0.00399, 0.05043, 0.00356]\n",
      "loss: 0.001294  [  256/  391] grads: [0.00021, 0.0, 1e-05, 5e-05, 0.00024, 0.0, 2e-05, 4e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 6e-05, 3e-05, 0.00073, 0.0, 8e-05, 4e-05, 0.00088, 0.0, 0.0001, 7e-05, 0.00108, 0.0, 0.00037, 0.00027, 0.0032, 0.0, 0.0027, 0.00408, 0.02977, 0.00547]\n",
      "loss: 0.004548  [  288/  391] grads: [0.00182, 0.0, 0.00015, 7e-05, 0.00103, 0.0, 0.0001, 6e-05, 0.00082, 0.0, 0.00011, 6e-05, 0.00107, 0.0, 0.0001, 4e-05, 0.00124, 0.0, 0.00014, 7e-05, 0.0011, 0.0, 8e-05, 5e-05, 0.00123, 0.0, 0.00012, 9e-05, 0.00204, 0.0, 0.00021, 0.00019, 0.00258, 0.0, 0.00059, 0.00047, 0.00448, 0.0, 0.00192, 0.00164, 0.01235, 0.0, 0.00869, 0.01457, 0.09591, 0.0186]\n",
      "loss: 0.001687  [  320/  391] grads: [0.0008, 0.0, 7e-05, 5e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.0003, 0.0, 5e-05, 2e-05, 0.00032, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 5e-05, 4e-05, 0.00071, 0.0, 9e-05, 8e-05, 0.00086, 0.0, 0.00016, 0.00013, 0.00168, 0.0, 0.00057, 0.00018, 0.00306, 0.0, 0.00286, 0.00494, 0.03754, 0.00652]\n",
      "loss: 0.002194  [  352/  391] grads: [0.00081, 0.0, 5e-05, 9e-05, 0.00057, 0.0, 3e-05, 8e-05, 0.00068, 0.0, 8e-05, 8e-05, 0.00073, 0.0, 9e-05, 6e-05, 0.00079, 0.0, 8e-05, 4e-05, 0.0007, 0.0, 5e-05, 3e-05, 0.00082, 0.0, 8e-05, 6e-05, 0.00132, 0.0, 0.00014, 0.00013, 0.00164, 0.0, 0.00038, 0.00032, 0.00298, 0.0, 0.00148, 0.00125, 0.0099, 0.0, 0.00641, 0.00823, 0.07354, 0.01054]\n",
      "loss: 0.002081  [  168/  391] grads: [0.00095, 0.0, 8e-05, 5e-05, 0.00059, 0.0, 5e-05, 3e-05, 0.00038, 0.0, 5e-05, 1e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.0007, 0.0, 6e-05, 5e-05, 0.00106, 0.0, 0.00011, 8e-05, 0.00131, 0.0, 0.00048, 0.0003, 0.00406, 0.0, 0.00158, 0.0011, 0.01023, 0.0, 0.00524, 0.00667, 0.06172, 0.00846]\n",
      "Epoch 66\n",
      "-------------------------------\n",
      "loss: 0.001095  [    0/  391] grads: [0.00046, 0.0, 4e-05, 5e-05, 0.00035, 0.0, 3e-05, 4e-05, 0.00035, 0.0, 3e-05, 5e-05, 0.00035, 0.0, 3e-05, 4e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 9e-05, 8e-05, 0.00085, 0.0, 0.00025, 0.00019, 0.00165, 0.0, 0.00056, 0.00035, 0.00403, 0.0, 0.00268, 0.00429, 0.02999, 0.00609]\n",
      "loss: 0.001157  [   32/  391] grads: [0.00021, 0.0, 3e-05, 4e-05, 0.00027, 0.0, 3e-05, 3e-05, 0.00026, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 8e-05, 6e-05, 0.00083, 0.0, 0.00023, 0.00013, 0.00165, 0.0, 0.00043, 0.00026, 0.00384, 0.0, 0.00221, 0.00421, 0.02455, 0.00629]\n",
      "loss: 0.002775  [   64/  391] grads: [0.0005, 0.0, 3e-05, 0.0001, 0.00032, 0.0, 2e-05, 7e-05, 0.00028, 0.0, 2e-05, 6e-05, 0.0003, 0.0, 3e-05, 5e-05, 0.00033, 0.0, 2e-05, 3e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.00044, 0.0, 6e-05, 5e-05, 0.00069, 0.0, 9e-05, 8e-05, 0.00104, 0.0, 0.00019, 0.00014, 0.00214, 0.0, 0.00101, 0.00071, 0.00637, 0.0, 0.00601, 0.00862, 0.08094, 0.01186]\n",
      "loss: 0.001590  [   96/  391] grads: [0.00083, 0.0, 5e-05, 5e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00036, 0.0, 5e-05, 3e-05, 0.00034, 0.0, 6e-05, 3e-05, 0.00042, 0.0, 5e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 6e-05, 4e-05, 0.00079, 0.0, 8e-05, 8e-05, 0.00099, 0.0, 0.00019, 0.00016, 0.00166, 0.0, 0.00099, 0.00077, 0.0064, 0.0, 0.00404, 0.00263, 0.04804, 0.0004]\n",
      "loss: 0.001202  [  128/  391] grads: [0.00033, 0.0, 3e-05, 2e-05, 0.00026, 0.0, 2e-05, 2e-05, 0.0002, 0.0, 2e-05, 1e-05, 0.0002, 0.0, 1e-05, 1e-05, 0.00023, 0.0, 1e-05, 1e-05, 0.00024, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 7e-05, 3e-05, 0.0007, 0.0, 0.00021, 0.00011, 0.00148, 0.0, 0.00046, 0.0002, 0.00336, 0.0, 0.00187, 0.00156, 0.02439, 0.00145]\n",
      "loss: 0.000922  [  160/  391] grads: [0.00015, 0.0, 2e-05, 5e-05, 0.0002, 0.0, 1e-05, 3e-05, 0.00018, 0.0, 1e-05, 2e-05, 0.00021, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 5e-05, 4e-05, 0.00052, 0.0, 8e-05, 5e-05, 0.0007, 0.0, 0.00027, 0.00017, 0.00151, 0.0, 0.001, 0.00111, 0.01144, 0.00123]\n",
      "loss: 0.001581  [  192/  391] grads: [0.0005, 0.0, 5e-05, 0.00014, 0.00056, 0.0, 4e-05, 0.0001, 0.00044, 0.0, 5e-05, 8e-05, 0.00048, 0.0, 9e-05, 6e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 7e-05, 4e-05, 0.00093, 0.0, 9e-05, 8e-05, 0.00118, 0.0, 0.0002, 0.00018, 0.0019, 0.0, 0.00119, 0.00104, 0.00755, 0.0, 0.00498, 0.00453, 0.05394, 0.00488]\n",
      "loss: 0.001798  [  224/  391] grads: [0.00036, 0.0, 3e-05, 0.0001, 0.00038, 0.0, 2e-05, 7e-05, 0.00033, 0.0, 2e-05, 5e-05, 0.0003, 0.0, 4e-05, 4e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 8e-05, 7e-05, 0.00096, 0.0, 0.00026, 0.00018, 0.00213, 0.0, 0.00127, 0.00092, 0.00754, 0.0, 0.00471, 0.00328, 0.05056, 0.00221]\n",
      "loss: 0.001240  [  256/  391] grads: [0.00038, 0.0, 2e-05, 6e-05, 0.00029, 0.0, 1e-05, 4e-05, 0.00026, 0.0, 1e-05, 3e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00068, 0.0, 7e-05, 4e-05, 0.00073, 0.0, 9e-05, 5e-05, 0.00124, 0.0, 0.00033, 0.00022, 0.00287, 0.0, 0.00189, 0.00292, 0.02164, 0.00388]\n",
      "loss: 0.003979  [  288/  391] grads: [0.0009, 0.0, 6e-05, 6e-05, 0.0005, 0.0, 5e-05, 5e-05, 0.00046, 0.0, 6e-05, 5e-05, 0.00056, 0.0, 0.0001, 6e-05, 0.00073, 0.0, 7e-05, 3e-05, 0.00061, 0.0, 4e-05, 2e-05, 0.00073, 0.0, 7e-05, 5e-05, 0.00129, 0.0, 0.00015, 0.00012, 0.00184, 0.0, 0.00055, 0.00036, 0.00397, 0.0, 0.0021, 0.00148, 0.01413, 0.0, 0.0086, 0.01225, 0.08887, 0.01598]\n",
      "loss: 0.001523  [  320/  391] grads: [0.00017, 0.0, 2e-05, 2e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.00019, 0.0, 2e-05, 1e-05, 0.00021, 0.0, 2e-05, 1e-05, 0.00022, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 5e-05, 3e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.00066, 0.0, 0.0001, 6e-05, 0.0012, 0.0, 0.00047, 0.00037, 0.00367, 0.0, 0.00274, 0.00379, 0.02946, 0.00503]\n",
      "loss: 0.002279  [  352/  391] grads: [0.00144, 0.0, 8e-05, 0.00013, 0.00077, 0.0, 5e-05, 0.00012, 0.0007, 0.0, 7e-05, 0.0001, 0.00087, 0.0, 8e-05, 6e-05, 0.00132, 0.0, 0.00012, 9e-05, 0.00146, 0.0, 0.00011, 6e-05, 0.00157, 0.0, 0.00014, 8e-05, 0.00213, 0.0, 0.00023, 0.00019, 0.00228, 0.0, 0.00027, 0.00035, 0.00304, 0.0, 0.00147, 0.00129, 0.00935, 0.0, 0.00691, 0.01004, 0.07981, 0.01349]\n",
      "loss: 0.001401  [  168/  391] grads: [0.00092, 0.0, 2e-05, 3e-05, 0.00044, 0.0, 2e-05, 3e-05, 0.00057, 0.0, 4e-05, 5e-05, 0.0005, 0.0, 3e-05, 4e-05, 0.00053, 0.0, 4e-05, 4e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 7e-05, 4e-05, 0.00114, 0.0, 0.0001, 8e-05, 0.00123, 0.0, 0.00033, 0.00022, 0.00253, 0.0, 0.00141, 0.00095, 0.00863, 0.0, 0.00411, 0.00525, 0.04529, 0.00664]\n",
      "Epoch 67\n",
      "-------------------------------\n",
      "loss: 0.001151  [    0/  391] grads: [0.00076, 0.0, 6e-05, 4e-05, 0.00043, 0.0, 6e-05, 3e-05, 0.00039, 0.0, 3e-05, 3e-05, 0.00035, 0.0, 3e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.00085, 0.0, 9e-05, 6e-05, 0.00101, 0.0, 0.00026, 0.00016, 0.00204, 0.0, 0.00091, 0.00054, 0.00598, 0.0, 0.00236, 0.00332, 0.02664, 0.00449]\n",
      "loss: 0.001096  [   32/  391] grads: [0.0005, 0.0, 5e-05, 2e-05, 0.00035, 0.0, 5e-05, 2e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 8e-05, 6e-05, 0.00106, 0.0, 0.00027, 0.00015, 0.00191, 0.0, 0.00063, 0.00034, 0.00474, 0.0, 0.00199, 0.00381, 0.02121, 0.0055]\n",
      "loss: 0.002023  [   64/  391] grads: [0.00067, 0.0, 4e-05, 5e-05, 0.00037, 0.0, 4e-05, 3e-05, 0.00033, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 5e-05, 2e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 6e-05, 3e-05, 0.00081, 0.0, 0.00011, 7e-05, 0.00113, 0.0, 0.0003, 0.00016, 0.00256, 0.0, 0.00089, 0.00034, 0.00473, 0.0, 0.00452, 0.00765, 0.05711, 0.01077]\n",
      "loss: 0.002085  [   96/  391] grads: [0.0012, 0.0, 6e-05, 7e-05, 0.00053, 0.0, 4e-05, 4e-05, 0.00066, 0.0, 5e-05, 4e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00055, 0.0, 7e-05, 4e-05, 0.00063, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 9e-05, 6e-05, 0.00143, 0.0, 0.00014, 0.00011, 0.00183, 0.0, 0.00034, 0.00028, 0.00288, 0.0, 0.00182, 0.00148, 0.01093, 0.0, 0.00611, 0.00666, 0.06673, 0.00742]\n",
      "loss: 0.001181  [  128/  391] grads: [0.00097, 0.0, 9e-05, 6e-05, 0.00067, 0.0, 7e-05, 5e-05, 0.00067, 0.0, 7e-05, 4e-05, 0.00057, 0.0, 8e-05, 3e-05, 0.00046, 0.0, 5e-05, 2e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 7e-05, 3e-05, 0.00089, 0.0, 0.0001, 5e-05, 0.00111, 0.0, 0.00023, 9e-05, 0.00205, 0.0, 0.00041, 0.00032, 0.00396, 0.0, 0.00211, 0.00367, 0.03422, 0.00478]\n",
      "loss: 0.001274  [  160/  391] grads: [0.00047, 0.0, 3e-05, 7e-05, 0.00034, 0.0, 2e-05, 5e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 5e-05, 4e-05, 0.00079, 0.0, 7e-05, 5e-05, 0.0008, 0.0, 7e-05, 7e-05, 0.00085, 0.0, 0.00039, 0.00022, 0.00211, 0.0, 0.00203, 0.0029, 0.02679, 0.00372]\n",
      "loss: 0.001629  [  192/  391] grads: [0.00088, 0.0, 0.0001, 7e-05, 0.0007, 0.0, 7e-05, 6e-05, 0.00063, 0.0, 8e-05, 5e-05, 0.00058, 0.0, 7e-05, 5e-05, 0.00057, 0.0, 6e-05, 4e-05, 0.00056, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 5e-05, 4e-05, 0.00097, 0.0, 7e-05, 6e-05, 0.00105, 0.0, 0.00018, 0.00013, 0.00149, 0.0, 0.00107, 0.00092, 0.00657, 0.0, 0.00406, 0.00321, 0.04359, 0.00271]\n",
      "loss: 0.001795  [  224/  391] grads: [0.00124, 0.0, 0.00012, 9e-05, 0.00086, 0.0, 9e-05, 7e-05, 0.00072, 0.0, 8e-05, 6e-05, 0.00054, 0.0, 9e-05, 5e-05, 0.00051, 0.0, 8e-05, 3e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00055, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 0.00011, 0.0001, 0.00133, 0.0, 0.0003, 0.00022, 0.00229, 0.0, 0.00133, 0.00108, 0.00861, 0.0, 0.00533, 0.00523, 0.05705, 0.00587]\n",
      "loss: 0.001282  [  256/  391] grads: [0.00066, 0.0, 6e-05, 9e-05, 0.00061, 0.0, 5e-05, 8e-05, 0.00061, 0.0, 4e-05, 5e-05, 0.00054, 0.0, 3e-05, 3e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.0006, 0.0, 6e-05, 3e-05, 0.00089, 0.0, 0.00011, 6e-05, 0.00111, 0.0, 0.00019, 0.0001, 0.00189, 0.0, 0.00038, 0.00034, 0.00343, 0.0, 0.00179, 0.00198, 0.02187, 0.00253]\n",
      "loss: 0.004408  [  288/  391] grads: [0.00248, 0.0, 0.00029, 0.00012, 0.00188, 0.0, 0.0002, 0.0001, 0.0012, 0.0, 0.00014, 9e-05, 0.00112, 0.0, 0.00011, 9e-05, 0.00114, 0.0, 0.00016, 8e-05, 0.00116, 0.0, 0.0001, 5e-05, 0.00122, 0.0, 0.00012, 8e-05, 0.00187, 0.0, 0.00023, 0.00017, 0.0025, 0.0, 0.00053, 0.00038, 0.00432, 0.0, 0.00177, 0.00167, 0.01285, 0.0, 0.00846, 0.01351, 0.09091, 0.01752]\n",
      "loss: 0.001082  [  320/  391] grads: [0.00042, 0.0, 3e-05, 5e-05, 0.00037, 0.0, 2e-05, 4e-05, 0.00037, 0.0, 3e-05, 3e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00071, 0.0, 7e-05, 4e-05, 0.00065, 0.0, 9e-05, 7e-05, 0.00094, 0.0, 0.00053, 0.00034, 0.00301, 0.0, 0.00213, 0.00211, 0.02562, 0.00229]\n",
      "loss: 0.001526  [  352/  391] grads: [0.00123, 0.0, 0.00011, 0.00011, 0.00088, 0.0, 6e-05, 0.0001, 0.0008, 0.0, 6e-05, 8e-05, 0.00082, 0.0, 6e-05, 4e-05, 0.00083, 0.0, 9e-05, 4e-05, 0.00083, 0.0, 6e-05, 3e-05, 0.00087, 0.0, 8e-05, 5e-05, 0.00124, 0.0, 0.00011, 9e-05, 0.00131, 0.0, 0.00024, 0.00021, 0.00188, 0.0, 0.00085, 0.0008, 0.00615, 0.0, 0.00464, 0.00582, 0.05259, 0.00756]\n",
      "loss: 0.001318  [  168/  391] grads: [0.00035, 0.0, 5e-05, 4e-05, 0.00041, 0.0, 3e-05, 5e-05, 0.00045, 0.0, 4e-05, 5e-05, 0.00058, 0.0, 5e-05, 4e-05, 0.00059, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 6e-05, 4e-05, 0.00099, 0.0, 7e-05, 6e-05, 0.00095, 0.0, 0.00016, 0.0001, 0.00139, 0.0, 0.00072, 0.00061, 0.00495, 0.0, 0.00308, 0.003, 0.0348, 0.00328]\n",
      "Epoch 68\n",
      "-------------------------------\n",
      "loss: 0.001107  [    0/  391] grads: [0.00024, 0.0, 3e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00019, 0.0, 2e-05, 2e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 5e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.00061, 0.0, 6e-05, 5e-05, 0.00059, 0.0, 6e-05, 7e-05, 0.00081, 0.0, 0.00016, 9e-05, 0.00146, 0.0, 0.00216, 0.00382, 0.02726, 0.00557]\n",
      "loss: 0.001288  [   32/  391] grads: [0.00021, 0.0, 1e-05, 2e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00047, 0.0, 2e-05, 2e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 9e-05, 7e-05, 0.00101, 0.0, 0.00021, 0.00013, 0.00147, 0.0, 0.00038, 0.00019, 0.00304, 0.0, 0.0027, 0.00524, 0.03164, 0.00765]\n",
      "loss: 0.001910  [   64/  391] grads: [0.0002, 0.0, 2e-05, 8e-05, 0.00028, 0.0, 2e-05, 6e-05, 0.0002, 0.0, 2e-05, 3e-05, 0.00026, 0.0, 2e-05, 2e-05, 0.00029, 0.0, 3e-05, 2e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00044, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 9e-05, 6e-05, 0.00088, 0.0, 0.00024, 0.00012, 0.00176, 0.0, 0.00069, 0.00029, 0.00475, 0.0, 0.00395, 0.00701, 0.04676, 0.0101]\n",
      "loss: 0.002125  [   96/  391] grads: [0.00078, 0.0, 6e-05, 0.0002, 0.0008, 0.0, 5e-05, 0.00018, 0.00075, 0.0, 6e-05, 0.00014, 0.00065, 0.0, 8e-05, 0.0001, 0.00078, 0.0, 7e-05, 5e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 8e-05, 5e-05, 0.00122, 0.0, 0.00014, 0.00012, 0.00156, 0.0, 0.00029, 0.00029, 0.00266, 0.0, 0.00147, 0.00117, 0.00921, 0.0, 0.00644, 0.00421, 0.07333, 0.00024]\n",
      "loss: 0.001021  [  128/  391] grads: [0.00035, 0.0, 4e-05, 3e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 4e-05, 2e-05, 0.0004, 0.0, 3e-05, 1e-05, 0.00037, 0.0, 2e-05, 2e-05, 0.00044, 0.0, 5e-05, 2e-05, 0.00075, 0.0, 7e-05, 4e-05, 0.00074, 0.0, 8e-05, 4e-05, 0.00088, 0.0, 0.00023, 0.00028, 0.0016, 0.0, 0.00107, 0.00173, 0.01244, 0.00225]\n",
      "loss: 0.001021  [  160/  391] grads: [0.0003, 0.0, 2e-05, 3e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00048, 0.0, 3e-05, 3e-05, 0.00055, 0.0, 5e-05, 4e-05, 0.00051, 0.0, 4e-05, 3e-05, 0.00048, 0.0, 3e-05, 3e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00085, 0.0, 9e-05, 6e-05, 0.00094, 0.0, 0.00013, 0.0001, 0.00107, 0.0, 0.00039, 0.00026, 0.00234, 0.0, 0.00217, 0.00405, 0.0251, 0.00534]\n",
      "loss: 0.001208  [  192/  391] grads: [0.00062, 0.0, 9e-05, 0.0001, 0.00085, 0.0, 8e-05, 9e-05, 0.00059, 0.0, 9e-05, 8e-05, 0.00061, 0.0, 0.00011, 7e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00065, 0.0, 7e-05, 4e-05, 0.00093, 0.0, 9e-05, 7e-05, 0.00108, 0.0, 0.00012, 0.00013, 0.00151, 0.0, 0.00061, 0.00067, 0.00454, 0.0, 0.00303, 0.00278, 0.03346, 0.00288]\n",
      "loss: 0.001358  [  224/  391] grads: [0.00047, 0.0, 7e-05, 0.00011, 0.00074, 0.0, 5e-05, 0.00011, 0.00052, 0.0, 7e-05, 9e-05, 0.00053, 0.0, 0.0001, 7e-05, 0.00057, 0.0, 6e-05, 3e-05, 0.00051, 0.0, 4e-05, 2e-05, 0.00061, 0.0, 7e-05, 4e-05, 0.00095, 0.0, 9e-05, 9e-05, 0.00112, 0.0, 0.00018, 0.00018, 0.0018, 0.0, 0.00091, 0.00083, 0.00609, 0.0, 0.00443, 0.00374, 0.04661, 0.00369]\n",
      "loss: 0.000954  [  256/  391] grads: [0.00034, 0.0, 4e-05, 2e-05, 0.00031, 0.0, 4e-05, 2e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00054, 0.0, 7e-05, 2e-05, 0.00074, 0.0, 0.00022, 0.00014, 0.0018, 0.0, 0.00058, 0.00072, 0.00837, 0.00103]\n",
      "loss: 0.004768  [  288/  391] grads: [0.00068, 0.0, 8e-05, 0.00019, 0.0009, 0.0, 8e-05, 0.00017, 0.00092, 0.0, 9e-05, 0.00014, 0.00096, 0.0, 0.00014, 0.0001, 0.00109, 0.0, 0.0001, 5e-05, 0.00103, 0.0, 7e-05, 5e-05, 0.00113, 0.0, 0.00011, 7e-05, 0.00173, 0.0, 0.00023, 0.00018, 0.00231, 0.0, 0.00061, 0.00046, 0.00424, 0.0, 0.00224, 0.00175, 0.01456, 0.0, 0.0101, 0.0139, 0.10508, 0.01741]\n",
      "loss: 0.001012  [  320/  391] grads: [0.00034, 0.0, 4e-05, 5e-05, 0.00029, 0.0, 3e-05, 4e-05, 0.00027, 0.0, 1e-05, 2e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 7e-05, 4e-05, 0.00069, 0.0, 0.00018, 0.00011, 0.00147, 0.0, 0.00071, 0.00042, 0.00415, 0.0, 0.00229, 0.00165, 0.0257, 0.00074]\n",
      "loss: 0.002367  [  352/  391] grads: [0.00096, 0.0, 7e-05, 4e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 6e-05, 3e-05, 0.00052, 0.0, 6e-05, 3e-05, 0.00067, 0.0, 7e-05, 4e-05, 0.00069, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 8e-05, 5e-05, 0.00124, 0.0, 0.0001, 0.0001, 0.00147, 0.0, 0.00048, 0.00033, 0.00398, 0.0, 0.0018, 0.0014, 0.01117, 0.0, 0.00629, 0.00795, 0.06777, 0.00951]\n",
      "loss: 0.001210  [  168/  391] grads: [0.00116, 0.0, 3e-05, 0.0001, 0.00043, 0.0, 3e-05, 0.0001, 0.00052, 0.0, 8e-05, 9e-05, 0.00063, 0.0, 0.00013, 9e-05, 0.00087, 0.0, 6e-05, 3e-05, 0.00077, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 8e-05, 4e-05, 0.00103, 0.0, 0.00012, 0.0001, 0.00113, 0.0, 0.00021, 0.00021, 0.00168, 0.0, 0.00051, 0.00044, 0.0039, 0.0, 0.00336, 0.00516, 0.03898, 0.00695]\n",
      "Epoch 69\n",
      "-------------------------------\n",
      "loss: 0.000944  [    0/  391] grads: [0.00066, 0.0, 1e-05, 1e-05, 0.00017, 0.0, 1e-05, 2e-05, 0.00024, 0.0, 3e-05, 3e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 4e-05, 0.00054, 0.0, 0.00016, 0.00012, 0.0011, 0.0, 0.00043, 0.00028, 0.00289, 0.0, 0.0018, 0.00197, 0.01932, 0.00227]\n",
      "loss: 0.001005  [   32/  391] grads: [0.00014, 0.0, 1e-05, 2e-05, 0.00018, 0.0, 2e-05, 1e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 5e-05, 4e-05, 0.00051, 0.0, 9e-05, 7e-05, 0.00079, 0.0, 0.00029, 0.00019, 0.00189, 0.0, 0.00202, 0.00347, 0.02452, 0.00493]\n",
      "loss: 0.004586  [   64/  391] grads: [0.00296, 0.0, 0.00016, 0.0003, 0.00118, 0.0, 9e-05, 0.00024, 0.00101, 0.0, 0.0001, 0.00019, 0.001, 0.0, 8e-05, 0.00011, 0.00096, 0.0, 0.0001, 0.00011, 0.00102, 0.0, 7e-05, 6e-05, 0.00129, 0.0, 0.00013, 0.00012, 0.00165, 0.0, 0.0002, 0.00018, 0.00207, 0.0, 0.00036, 0.00031, 0.00352, 0.0, 0.00137, 0.00065, 0.00703, 0.0, 0.00787, 0.01376, 0.10932, 0.01843]\n",
      "loss: 0.001635  [   96/  391] grads: [0.0008, 0.0, 5e-05, 0.0001, 0.0005, 0.0, 3e-05, 8e-05, 0.00056, 0.0, 7e-05, 8e-05, 0.0005, 0.0, 7e-05, 6e-05, 0.00052, 0.0, 8e-05, 4e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 8e-05, 5e-05, 0.00104, 0.0, 9e-05, 0.0001, 0.00125, 0.0, 0.00027, 0.00025, 0.00225, 0.0, 0.00116, 0.001, 0.00754, 0.0, 0.00493, 0.00388, 0.05386, 0.0028]\n",
      "loss: 0.001129  [  128/  391] grads: [0.00049, 0.0, 2e-05, 3e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.00026, 0.0, 3e-05, 2e-05, 0.00026, 0.0, 3e-05, 2e-05, 0.00026, 0.0, 3e-05, 2e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 4e-05, 4e-05, 0.00063, 0.0, 0.00014, 0.00011, 0.00122, 0.0, 0.00042, 0.00028, 0.0033, 0.0, 0.00205, 0.00142, 0.02193, 0.0014]\n",
      "loss: 0.001829  [  160/  391] grads: [0.00162, 0.0, 0.00015, 0.00013, 0.00096, 0.0, 8e-05, 0.0001, 0.00076, 0.0, 8e-05, 4e-05, 0.0007, 0.0, 6e-05, 4e-05, 0.00074, 0.0, 0.0001, 6e-05, 0.00072, 0.0, 6e-05, 4e-05, 0.00085, 0.0, 8e-05, 7e-05, 0.00118, 0.0, 0.00014, 0.00012, 0.00146, 0.0, 0.00026, 0.00018, 0.00228, 0.0, 0.00049, 0.00026, 0.00252, 0.0, 0.00291, 0.00571, 0.0407, 0.00719]\n",
      "loss: 0.001698  [  192/  391] grads: [0.00038, 0.0, 8e-05, 0.0001, 0.00066, 0.0, 6e-05, 7e-05, 0.00062, 0.0, 4e-05, 5e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 6e-05, 3e-05, 0.00078, 0.0, 8e-05, 6e-05, 0.001, 0.0, 0.0002, 0.00011, 0.002, 0.0, 0.00057, 0.00064, 0.00467, 0.0, 0.00265, 0.00162, 0.02672, 0.00116]\n",
      "loss: 0.002116  [  224/  391] grads: [0.00108, 0.0, 0.00013, 0.00012, 0.00104, 0.0, 0.0001, 0.00012, 0.00092, 0.0, 0.0001, 0.0001, 0.00067, 0.0, 0.0001, 7e-05, 0.00061, 0.0, 9e-05, 4e-05, 0.00066, 0.0, 5e-05, 3e-05, 0.00078, 0.0, 8e-05, 5e-05, 0.00118, 0.0, 0.00012, 0.0001, 0.00153, 0.0, 0.00031, 0.00026, 0.00277, 0.0, 0.00135, 0.00128, 0.00859, 0.0, 0.00594, 0.00622, 0.06251, 0.00691]\n",
      "loss: 0.001270  [  256/  391] grads: [0.00017, 0.0, 2e-05, 2e-05, 0.00021, 0.0, 1e-05, 1e-05, 0.00025, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.0007, 0.0, 7e-05, 4e-05, 0.00074, 0.0, 0.00014, 9e-05, 0.00125, 0.0, 0.00041, 0.00028, 0.00274, 0.0, 0.00187, 0.00167, 0.01938, 0.00194]\n",
      "loss: 0.002783  [  288/  391] grads: [0.00038, 0.0, 6e-05, 0.00011, 0.00061, 0.0, 5e-05, 8e-05, 0.0006, 0.0, 4e-05, 6e-05, 0.00055, 0.0, 5e-05, 4e-05, 0.00056, 0.0, 6e-05, 3e-05, 0.00054, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 6e-05, 4e-05, 0.00105, 0.0, 0.00011, 8e-05, 0.00145, 0.0, 0.00033, 0.00023, 0.00287, 0.0, 0.00169, 0.0014, 0.01034, 0.0, 0.00654, 0.0095, 0.0682, 0.012]\n",
      "loss: 0.001358  [  320/  391] grads: [0.00061, 0.0, 7e-05, 2e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00033, 0.0, 3e-05, 1e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 3e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 8e-05, 4e-05, 0.00086, 0.0, 0.00017, 7e-05, 0.00165, 0.0, 0.00059, 0.00022, 0.00352, 0.0, 0.00235, 0.00324, 0.03147, 0.00404]\n",
      "loss: 0.001691  [  352/  391] grads: [0.00051, 0.0, 5e-05, 4e-05, 0.00045, 0.0, 3e-05, 5e-05, 0.00046, 0.0, 4e-05, 4e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 7e-05, 4e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.0006, 0.0, 5e-05, 4e-05, 0.00094, 0.0, 8e-05, 9e-05, 0.00113, 0.0, 0.00034, 0.00026, 0.00257, 0.0, 0.00147, 0.00111, 0.00893, 0.0, 0.00526, 0.00711, 0.05545, 0.0089]\n",
      "loss: 0.001230  [  168/  391] grads: [0.00019, 0.0, 3e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 3e-05, 1e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00085, 0.0, 7e-05, 5e-05, 0.00117, 0.0, 0.00039, 0.00025, 0.00364, 0.0, 0.00096, 0.00072, 0.00601, 0.0, 0.00303, 0.00391, 0.03393, 0.00509]\n",
      "Epoch 70\n",
      "-------------------------------\n",
      "loss: 0.001153  [    0/  391] grads: [0.00038, 0.0, 5e-05, 5e-05, 0.0004, 0.0, 4e-05, 5e-05, 0.00039, 0.0, 4e-05, 4e-05, 0.0004, 0.0, 3e-05, 3e-05, 0.00048, 0.0, 6e-05, 3e-05, 0.00051, 0.0, 4e-05, 3e-05, 0.00061, 0.0, 5e-05, 4e-05, 0.00089, 0.0, 9e-05, 8e-05, 0.00108, 0.0, 0.00015, 0.00015, 0.00152, 0.0, 0.00043, 0.0004, 0.00315, 0.0, 0.00295, 0.00501, 0.03518, 0.00686]\n",
      "loss: 0.001083  [   32/  391] grads: [0.00025, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 4e-05, 3e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 6e-05, 4e-05, 0.00087, 0.0, 0.00012, 7e-05, 0.00137, 0.0, 0.00017, 0.0001, 0.0021, 0.0, 0.00051, 0.00043, 0.00341, 0.0, 0.00155, 0.00204, 0.01941, 0.00306]\n",
      "loss: 0.002107  [   64/  391] grads: [0.00042, 0.0, 4e-05, 3e-05, 0.00033, 0.0, 4e-05, 3e-05, 0.00031, 0.0, 5e-05, 4e-05, 0.00031, 0.0, 5e-05, 3e-05, 0.00038, 0.0, 5e-05, 3e-05, 0.00042, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.00068, 0.0, 0.00011, 8e-05, 0.00104, 0.0, 0.00023, 0.00016, 0.00181, 0.0, 0.00045, 0.00025, 0.00329, 0.0, 0.0046, 0.00862, 0.05532, 0.01205]\n",
      "loss: 0.001758  [   96/  391] grads: [0.00123, 0.0, 8e-05, 8e-05, 0.0006, 0.0, 6e-05, 7e-05, 0.00051, 0.0, 7e-05, 6e-05, 0.00052, 0.0, 8e-05, 5e-05, 0.00067, 0.0, 8e-05, 4e-05, 0.00064, 0.0, 5e-05, 2e-05, 0.00068, 0.0, 6e-05, 4e-05, 0.00101, 0.0, 8e-05, 0.0001, 0.00128, 0.0, 0.00026, 0.00025, 0.00215, 0.0, 0.00137, 0.0011, 0.00847, 0.0, 0.00556, 0.00431, 0.05874, 0.00317]\n",
      "loss: 0.002361  [  128/  391] grads: [0.00047, 0.0, 4e-05, 7e-05, 0.00043, 0.0, 3e-05, 8e-05, 0.00044, 0.0, 3e-05, 6e-05, 0.00039, 0.0, 4e-05, 4e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 0.0001, 7e-05, 0.00134, 0.0, 0.00038, 0.00029, 0.00264, 0.0, 0.00124, 0.00077, 0.00744, 0.0, 0.00574, 0.00565, 0.07114, 0.00562]\n",
      "loss: 0.000972  [  160/  391] grads: [0.0006, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00043, 0.0, 5e-05, 3e-05, 0.00068, 0.0, 8e-05, 6e-05, 0.00074, 0.0, 0.00018, 0.00013, 0.00116, 0.0, 0.00048, 0.00032, 0.00292, 0.0, 0.00216, 0.00358, 0.02256, 0.0046]\n",
      "loss: 0.001729  [  192/  391] grads: [0.00037, 0.0, 5e-05, 8e-05, 0.00038, 0.0, 3e-05, 6e-05, 0.00032, 0.0, 2e-05, 4e-05, 0.00036, 0.0, 2e-05, 3e-05, 0.00038, 0.0, 3e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 8e-05, 5e-05, 0.00076, 0.0, 0.00014, 0.00011, 0.00113, 0.0, 0.00075, 0.0006, 0.00435, 0.0, 0.00296, 0.00207, 0.03075, 0.00143]\n",
      "loss: 0.001943  [  224/  391] grads: [0.00117, 0.0, 9e-05, 0.00013, 0.00076, 0.0, 8e-05, 0.00011, 0.00069, 0.0, 0.0001, 0.00011, 0.0007, 0.0, 9e-05, 6e-05, 0.0007, 0.0, 8e-05, 4e-05, 0.00064, 0.0, 5e-05, 3e-05, 0.00074, 0.0, 7e-05, 5e-05, 0.00118, 0.0, 0.00011, 0.00011, 0.00149, 0.0, 0.00031, 0.00025, 0.00233, 0.0, 0.00131, 0.00113, 0.00808, 0.0, 0.00561, 0.00535, 0.0576, 0.00565]\n",
      "loss: 0.001491  [  256/  391] grads: [0.00047, 0.0, 3e-05, 1e-05, 0.00025, 0.0, 3e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00067, 0.0, 5e-05, 4e-05, 0.00068, 0.0, 0.00013, 0.0001, 0.00117, 0.0, 0.00074, 0.00056, 0.00435, 0.0, 0.003, 0.00195, 0.02931, 0.00099]\n",
      "loss: 0.004129  [  288/  391] grads: [0.00175, 0.0, 4e-05, 0.00017, 0.00067, 0.0, 5e-05, 0.00016, 0.0007, 0.0, 7e-05, 0.00014, 0.00068, 0.0, 6e-05, 8e-05, 0.00067, 0.0, 8e-05, 5e-05, 0.00074, 0.0, 6e-05, 4e-05, 0.00086, 0.0, 9e-05, 7e-05, 0.00145, 0.0, 0.00017, 0.00014, 0.00192, 0.0, 0.00056, 0.00039, 0.00385, 0.0, 0.0021, 0.00164, 0.01279, 0.0, 0.00841, 0.0127, 0.08651, 0.01601]\n",
      "loss: 0.001389  [  320/  391] grads: [0.00042, 0.0, 8e-05, 7e-05, 0.00056, 0.0, 5e-05, 6e-05, 0.00038, 0.0, 5e-05, 5e-05, 0.00038, 0.0, 5e-05, 3e-05, 0.00039, 0.0, 5e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.0007, 0.0, 0.0001, 5e-05, 0.00097, 0.0, 0.00021, 9e-05, 0.00198, 0.0, 0.00059, 0.00018, 0.00352, 0.0, 0.00267, 0.00427, 0.03731, 0.00538]\n",
      "loss: 0.001788  [  352/  391] grads: [0.00062, 0.0, 3e-05, 9e-05, 0.00034, 0.0, 3e-05, 7e-05, 0.00035, 0.0, 2e-05, 5e-05, 0.00037, 0.0, 2e-05, 3e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.00094, 0.0, 0.00014, 8e-05, 0.00133, 0.0, 0.00042, 0.00027, 0.00308, 0.0, 0.0017, 0.00115, 0.00977, 0.0, 0.00486, 0.00559, 0.05115, 0.00652]\n",
      "loss: 0.001495  [  168/  391] grads: [0.00037, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00062, 0.0, 7e-05, 5e-05, 0.00091, 0.0, 0.00028, 0.00019, 0.00222, 0.0, 0.00134, 0.00097, 0.00757, 0.0, 0.00414, 0.00453, 0.04385, 0.00515]\n",
      "Epoch 71\n",
      "-------------------------------\n",
      "loss: 0.000930  [    0/  391] grads: [0.00015, 0.0, 2e-05, 5e-05, 0.00025, 0.0, 2e-05, 4e-05, 0.00024, 0.0, 2e-05, 3e-05, 0.00022, 0.0, 2e-05, 2e-05, 0.00027, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 5e-05, 4e-05, 0.00051, 0.0, 0.00011, 0.0001, 0.00092, 0.0, 0.00041, 0.00033, 0.00257, 0.0, 0.00199, 0.00304, 0.02207, 0.00398]\n",
      "loss: 0.001031  [   32/  391] grads: [0.00074, 0.0, 6e-05, 4e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.0004, 0.0, 5e-05, 3e-05, 0.00041, 0.0, 5e-05, 3e-05, 0.00045, 0.0, 5e-05, 2e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 0.0001, 7e-05, 0.00115, 0.0, 0.00021, 0.00016, 0.00183, 0.0, 0.00052, 0.00048, 0.00342, 0.0, 0.00275, 0.00447, 0.03232, 0.00577]\n",
      "loss: 0.001696  [   64/  391] grads: [0.00101, 0.0, 8e-05, 2e-05, 0.00046, 0.0, 6e-05, 2e-05, 0.00034, 0.0, 6e-05, 2e-05, 0.00031, 0.0, 5e-05, 2e-05, 0.00035, 0.0, 5e-05, 3e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00044, 0.0, 6e-05, 3e-05, 0.00076, 0.0, 0.00011, 7e-05, 0.00112, 0.0, 0.00021, 0.00015, 0.00196, 0.0, 0.00059, 0.00026, 0.00317, 0.0, 0.00394, 0.00741, 0.04812, 0.01019]\n",
      "loss: 0.001630  [   96/  391] grads: [0.00177, 0.0, 0.00018, 5e-05, 0.00105, 0.0, 0.00012, 4e-05, 0.00067, 0.0, 0.0001, 3e-05, 0.00057, 0.0, 7e-05, 3e-05, 0.00058, 0.0, 9e-05, 4e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 7e-05, 4e-05, 0.00114, 0.0, 9e-05, 0.0001, 0.00137, 0.0, 0.00022, 0.00021, 0.00205, 0.0, 0.00107, 0.00095, 0.00682, 0.0, 0.00458, 0.00438, 0.05105, 0.00442]\n",
      "loss: 0.001020  [  128/  391] grads: [0.00013, 0.0, 1e-05, 1e-05, 0.00016, 0.0, 1e-05, 1e-05, 0.00021, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 6e-05, 3e-05, 0.00059, 0.0, 8e-05, 6e-05, 0.00068, 0.0, 0.00025, 0.00015, 0.00151, 0.0, 0.00138, 0.0016, 0.01526, 0.00208]\n",
      "loss: 0.001033  [  160/  391] grads: [0.00035, 0.0, 3e-05, 2e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 3e-05, 1e-05, 0.00037, 0.0, 2e-05, 1e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00075, 0.0, 6e-05, 4e-05, 0.00084, 0.0, 0.00018, 0.00014, 0.00141, 0.0, 0.00068, 0.00051, 0.00385, 0.0, 0.00271, 0.0018, 0.02801, 0.00052]\n",
      "loss: 0.001349  [  192/  391] grads: [0.00094, 0.0, 0.0001, 0.00011, 0.00072, 0.0, 7e-05, 9e-05, 0.00061, 0.0, 8e-05, 8e-05, 0.00055, 0.0, 8e-05, 5e-05, 0.00059, 0.0, 7e-05, 3e-05, 0.00071, 0.0, 5e-05, 3e-05, 0.00076, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 0.00011, 8e-05, 0.00136, 0.0, 0.00016, 0.00014, 0.00189, 0.0, 0.00036, 0.00053, 0.00404, 0.0, 0.0024, 0.00347, 0.03465, 0.00415]\n",
      "loss: 0.001790  [  224/  391] grads: [0.00045, 0.0, 7e-05, 5e-05, 0.00047, 0.0, 5e-05, 5e-05, 0.00032, 0.0, 4e-05, 4e-05, 0.0003, 0.0, 3e-05, 3e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 7e-05, 5e-05, 0.00091, 0.0, 0.00019, 0.00014, 0.00159, 0.0, 0.00107, 0.00091, 0.00637, 0.0, 0.00418, 0.00303, 0.04175, 0.00195]\n",
      "loss: 0.000981  [  256/  391] grads: [0.00017, 0.0, 2e-05, 3e-05, 0.00017, 0.0, 1e-05, 2e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 5e-05, 3e-05, 0.00045, 0.0, 6e-05, 5e-05, 0.00077, 0.0, 0.00028, 0.00016, 0.00166, 0.0, 0.00104, 0.0009, 0.01053, 0.00093]\n",
      "loss: 0.004024  [  288/  391] grads: [0.00128, 0.0, 0.00013, 0.00011, 0.00082, 0.0, 0.0001, 9e-05, 0.00078, 0.0, 0.0001, 8e-05, 0.00073, 0.0, 9e-05, 6e-05, 0.00082, 0.0, 9e-05, 4e-05, 0.00082, 0.0, 6e-05, 5e-05, 0.00096, 0.0, 9e-05, 7e-05, 0.00148, 0.0, 0.00017, 0.00014, 0.002, 0.0, 0.00057, 0.00042, 0.00379, 0.0, 0.00177, 0.00152, 0.01108, 0.0, 0.00795, 0.01346, 0.08368, 0.01726]\n",
      "loss: 0.001230  [  320/  391] grads: [0.00025, 0.0, 3e-05, 7e-05, 0.00023, 0.0, 2e-05, 5e-05, 0.00024, 0.0, 1e-05, 4e-05, 0.00022, 0.0, 1e-05, 2e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 5e-05, 3e-05, 0.00061, 0.0, 0.00011, 7e-05, 0.00098, 0.0, 0.00029, 0.00018, 0.0022, 0.0, 0.00101, 0.00062, 0.00592, 0.0, 0.00301, 0.00217, 0.03253, 0.00145]\n",
      "loss: 0.002125  [  352/  391] grads: [0.00075, 0.0, 5e-05, 0.00012, 0.00058, 0.0, 4e-05, 0.0001, 0.00074, 0.0, 7e-05, 0.0001, 0.0007, 0.0, 8e-05, 8e-05, 0.00071, 0.0, 8e-05, 5e-05, 0.00076, 0.0, 5e-05, 4e-05, 0.0008, 0.0, 7e-05, 6e-05, 0.0012, 0.0, 0.00012, 0.00012, 0.00153, 0.0, 0.00047, 0.00038, 0.00312, 0.0, 0.00167, 0.00132, 0.01012, 0.0, 0.00658, 0.00838, 0.06964, 0.01078]\n",
      "loss: 0.001516  [  168/  391] grads: [0.00087, 0.0, 5e-05, 8e-05, 0.00054, 0.0, 5e-05, 7e-05, 0.00062, 0.0, 8e-05, 8e-05, 0.00062, 0.0, 7e-05, 5e-05, 0.00065, 0.0, 8e-05, 4e-05, 0.00078, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 8e-05, 6e-05, 0.00121, 0.0, 0.00012, 0.00012, 0.0015, 0.0, 0.00035, 0.00031, 0.00237, 0.0, 0.0009, 0.00079, 0.0059, 0.0, 0.00439, 0.00633, 0.0488, 0.00826]\n",
      "Epoch 72\n",
      "-------------------------------\n",
      "loss: 0.000865  [    0/  391] grads: [0.00016, 0.0, 1e-05, 1e-05, 0.00018, 0.0, 1e-05, 2e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00047, 0.0, 8e-05, 7e-05, 0.00072, 0.0, 0.00016, 7e-05, 0.00094, 0.0, 0.00125, 0.00226, 0.01617, 0.00315]\n",
      "loss: 0.001399  [   32/  391] grads: [0.00027, 0.0, 5e-05, 3e-05, 0.00035, 0.0, 3e-05, 3e-05, 0.00029, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 2e-05, 3e-05, 0.00041, 0.0, 6e-05, 4e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 4e-05, 0.00066, 0.0, 9e-05, 7e-05, 0.00085, 0.0, 0.00019, 0.00015, 0.00162, 0.0, 0.00056, 0.00027, 0.00282, 0.0, 0.00326, 0.00594, 0.04079, 0.00823]\n",
      "loss: 0.001883  [   64/  391] grads: [0.00038, 0.0, 4e-05, 3e-05, 0.00027, 0.0, 2e-05, 3e-05, 0.00024, 0.0, 2e-05, 3e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 3e-05, 3e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.00077, 0.0, 9e-05, 6e-05, 0.00083, 0.0, 0.00013, 6e-05, 0.00159, 0.0, 0.00064, 0.00042, 0.00458, 0.0, 0.00422, 0.00658, 0.04687, 0.0092]\n",
      "loss: 0.002464  [   96/  391] grads: [0.0021, 0.0, 0.00012, 0.00011, 0.00088, 0.0, 8e-05, 8e-05, 0.00097, 0.0, 0.00012, 8e-05, 0.00082, 0.0, 0.00015, 7e-05, 0.00088, 0.0, 0.00012, 6e-05, 0.00084, 0.0, 6e-05, 3e-05, 0.00084, 0.0, 8e-05, 6e-05, 0.00129, 0.0, 0.00012, 0.00013, 0.00163, 0.0, 0.00044, 0.0004, 0.00322, 0.0, 0.00184, 0.00152, 0.01089, 0.0, 0.00696, 0.00859, 0.07346, 0.00973]\n",
      "loss: 0.001015  [  128/  391] grads: [0.00011, 0.0, 1e-05, 3e-05, 0.00012, 0.0, 1e-05, 2e-05, 0.0001, 0.0, 1e-05, 1e-05, 9e-05, 0.0, 1e-05, 1e-05, 0.00012, 0.0, 1e-05, 1e-05, 0.00015, 0.0, 1e-05, 1e-05, 0.00019, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 0.0001, 7e-05, 0.00084, 0.0, 0.00029, 0.00015, 0.00229, 0.0, 0.00196, 0.00257, 0.0209, 0.00341]\n",
      "loss: 0.001174  [  160/  391] grads: [0.00056, 0.0, 1e-05, 3e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 3e-05, 3e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00078, 0.0, 8e-05, 6e-05, 0.00097, 0.0, 0.00029, 0.0002, 0.00195, 0.0, 0.00093, 0.00066, 0.00526, 0.0, 0.00341, 0.00519, 0.03496, 0.0065]\n",
      "loss: 0.001375  [  192/  391] grads: [0.00037, 0.0, 5e-05, 5e-05, 0.00038, 0.0, 3e-05, 4e-05, 0.00035, 0.0, 3e-05, 3e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 6e-05, 5e-05, 0.00072, 0.0, 0.00013, 8e-05, 0.00123, 0.0, 0.00081, 0.00071, 0.00492, 0.0, 0.00307, 0.0023, 0.03074, 0.00158]\n",
      "loss: 0.001553  [  224/  391] grads: [0.0012, 0.0, 5e-05, 0.00011, 0.00052, 0.0, 5e-05, 9e-05, 0.00057, 0.0, 5e-05, 8e-05, 0.00051, 0.0, 6e-05, 6e-05, 0.00052, 0.0, 6e-05, 3e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00059, 0.0, 6e-05, 4e-05, 0.00091, 0.0, 0.00011, 0.0001, 0.00125, 0.0, 0.00022, 0.00021, 0.00203, 0.0, 0.00111, 0.00094, 0.00681, 0.0, 0.00485, 0.00477, 0.04912, 0.00528]\n",
      "loss: 0.001294  [  256/  391] grads: [0.00023, 0.0, 2e-05, 1e-05, 0.00016, 0.0, 1e-05, 1e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 7e-05, 4e-05, 0.00062, 0.0, 0.00016, 0.00011, 0.00133, 0.0, 0.00076, 0.00046, 0.00436, 0.0, 0.00284, 0.00189, 0.02944, 0.00092]\n",
      "loss: 0.003770  [  288/  391] grads: [0.00079, 0.0, 9e-05, 0.00013, 0.00071, 0.0, 7e-05, 0.00011, 0.0006, 0.0, 6e-05, 8e-05, 0.00052, 0.0, 5e-05, 5e-05, 0.0006, 0.0, 8e-05, 4e-05, 0.00064, 0.0, 4e-05, 2e-05, 0.00076, 0.0, 9e-05, 6e-05, 0.00132, 0.0, 0.00019, 0.00015, 0.00186, 0.0, 0.00046, 0.00032, 0.00313, 0.0, 0.00173, 0.00137, 0.0115, 0.0, 0.0083, 0.0122, 0.08462, 0.01575]\n",
      "loss: 0.001346  [  320/  391] grads: [0.00044, 0.0, 5e-05, 1e-05, 0.0003, 0.0, 4e-05, 2e-05, 0.00021, 0.0, 4e-05, 2e-05, 0.00022, 0.0, 3e-05, 1e-05, 0.00025, 0.0, 3e-05, 2e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 4e-05, 3e-05, 0.00059, 0.0, 9e-05, 4e-05, 0.00078, 0.0, 0.00015, 9e-05, 0.00132, 0.0, 0.00066, 0.00024, 0.0034, 0.0, 0.00256, 0.0036, 0.03463, 0.00432]\n",
      "loss: 0.001390  [  352/  391] grads: [0.00026, 0.0, 5e-05, 9e-05, 0.00043, 0.0, 2e-05, 8e-05, 0.00042, 0.0, 2e-05, 7e-05, 0.00039, 0.0, 4e-05, 5e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 6e-05, 4e-05, 0.00083, 0.0, 0.00012, 0.0001, 0.00114, 0.0, 0.00034, 0.00024, 0.00216, 0.0, 0.00114, 0.00079, 0.00748, 0.0, 0.00456, 0.00565, 0.04747, 0.00757]\n",
      "loss: 0.001038  [  168/  391] grads: [0.00039, 0.0, 3e-05, 4e-05, 0.00029, 0.0, 2e-05, 4e-05, 0.00031, 0.0, 2e-05, 3e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00072, 0.0, 9e-05, 6e-05, 0.00087, 0.0, 0.00019, 0.00016, 0.00128, 0.0, 0.00037, 0.0002, 0.00322, 0.0, 0.00242, 0.00404, 0.02482, 0.00572]\n",
      "Epoch 73\n",
      "-------------------------------\n",
      "loss: 0.000967  [    0/  391] grads: [0.00028, 0.0, 4e-05, 1e-05, 0.00023, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 6e-05, 4e-05, 0.00072, 0.0, 0.00019, 0.0001, 0.00116, 0.0, 0.00044, 0.00022, 0.00291, 0.0, 0.00121, 0.00113, 0.0166, 0.00121]\n",
      "loss: 0.000963  [   32/  391] grads: [0.00058, 0.0, 6e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 3e-05, 1e-05, 0.0004, 0.0, 4e-05, 2e-05, 0.00064, 0.0, 7e-05, 5e-05, 0.00078, 0.0, 0.00016, 0.00011, 0.0012, 0.0, 0.00041, 0.00027, 0.00272, 0.0, 0.00241, 0.00413, 0.02728, 0.00554]\n",
      "loss: 0.002823  [   64/  391] grads: [0.00061, 0.0, 5e-05, 7e-05, 0.00037, 0.0, 3e-05, 5e-05, 0.00037, 0.0, 3e-05, 5e-05, 0.00037, 0.0, 2e-05, 3e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 0.00013, 6e-05, 0.00121, 0.0, 0.00024, 0.00012, 0.00231, 0.0, 0.00106, 0.00037, 0.00471, 0.0, 0.00588, 0.00993, 0.0765, 0.01345]\n",
      "loss: 0.001399  [   96/  391] grads: [0.00066, 0.0, 4e-05, 5e-05, 0.00039, 0.0, 3e-05, 4e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 6e-05, 3e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00088, 0.0, 9e-05, 8e-05, 0.00105, 0.0, 0.00021, 0.00019, 0.00162, 0.0, 0.00092, 0.00071, 0.00561, 0.0, 0.00389, 0.00348, 0.0399, 0.00341]\n",
      "loss: 0.001611  [  128/  391] grads: [0.00036, 0.0, 4e-05, 1e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 1e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.0004, 0.0, 3e-05, 3e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 6e-05, 4e-05, 0.00082, 0.0, 8e-05, 5e-05, 0.0009, 0.0, 0.00013, 6e-05, 0.00128, 0.0, 0.00047, 0.00024, 0.00338, 0.0, 0.00342, 0.00507, 0.03797, 0.00652]\n",
      "loss: 0.001056  [  160/  391] grads: [0.00117, 0.0, 7e-05, 7e-05, 0.00044, 0.0, 5e-05, 4e-05, 0.00036, 0.0, 5e-05, 2e-05, 0.00046, 0.0, 5e-05, 2e-05, 0.00056, 0.0, 6e-05, 3e-05, 0.00049, 0.0, 5e-05, 3e-05, 0.00055, 0.0, 5e-05, 3e-05, 0.00083, 0.0, 0.0001, 7e-05, 0.00105, 0.0, 0.00017, 0.00015, 0.00172, 0.0, 0.00057, 0.00028, 0.00312, 0.0, 0.00177, 0.00295, 0.02765, 0.00353]\n",
      "loss: 0.001145  [  192/  391] grads: [0.00047, 0.0, 7e-05, 0.00011, 0.00058, 0.0, 5e-05, 9e-05, 0.00048, 0.0, 5e-05, 7e-05, 0.00041, 0.0, 5e-05, 5e-05, 0.0004, 0.0, 5e-05, 3e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.0008, 0.0, 9e-05, 6e-05, 0.00104, 0.0, 0.00015, 7e-05, 0.00149, 0.0, 0.00068, 0.00068, 0.00453, 0.0, 0.003, 0.00202, 0.03066, 0.00118]\n",
      "loss: 0.001838  [  224/  391] grads: [0.00026, 0.0, 4e-05, 3e-05, 0.00031, 0.0, 3e-05, 3e-05, 0.00029, 0.0, 3e-05, 3e-05, 0.00027, 0.0, 3e-05, 3e-05, 0.00029, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 6e-05, 5e-05, 0.00078, 0.0, 0.00022, 0.00016, 0.00174, 0.0, 0.00136, 0.00103, 0.00737, 0.0, 0.00464, 0.00331, 0.04537, 0.00204]\n",
      "loss: 0.001381  [  256/  391] grads: [0.00021, 0.0, 3e-05, 2e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 6e-05, 3e-05, 0.0007, 0.0, 8e-05, 6e-05, 0.00108, 0.0, 0.00034, 0.00024, 0.00312, 0.0, 0.00215, 0.00258, 0.02035, 0.00332]\n",
      "loss: 0.004692  [  288/  391] grads: [0.00085, 0.0, 0.00017, 9e-05, 0.00107, 0.0, 0.00012, 7e-05, 0.00074, 0.0, 7e-05, 6e-05, 0.00071, 0.0, 7e-05, 7e-05, 0.00099, 0.0, 0.00011, 6e-05, 0.00096, 0.0, 9e-05, 6e-05, 0.0011, 0.0, 0.00013, 9e-05, 0.00178, 0.0, 0.0002, 0.00014, 0.00213, 0.0, 0.00047, 0.00033, 0.00365, 0.0, 0.00208, 0.0018, 0.01241, 0.0, 0.00862, 0.01473, 0.08744, 0.0182]\n",
      "loss: 0.001176  [  320/  391] grads: [0.00058, 0.0, 3e-05, 6e-05, 0.00032, 0.0, 2e-05, 4e-05, 0.00036, 0.0, 3e-05, 3e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 6e-05, 3e-05, 0.0009, 0.0, 8e-05, 4e-05, 0.00092, 0.0, 0.00015, 6e-05, 0.00126, 0.0, 0.00041, 0.00015, 0.00252, 0.0, 0.00219, 0.00329, 0.02521, 0.00414]\n",
      "loss: 0.001485  [  352/  391] grads: [0.00023, 0.0, 3e-05, 8e-05, 0.0003, 0.0, 1e-05, 7e-05, 0.00033, 0.0, 3e-05, 7e-05, 0.00035, 0.0, 3e-05, 4e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 6e-05, 3e-05, 0.00077, 0.0, 0.00011, 9e-05, 0.00108, 0.0, 0.00036, 0.00026, 0.00233, 0.0, 0.00144, 0.00105, 0.00807, 0.0, 0.00496, 0.00605, 0.05042, 0.0072]\n",
      "loss: 0.001197  [  168/  391] grads: [0.00046, 0.0, 1e-05, 4e-05, 0.00025, 0.0, 2e-05, 4e-05, 0.00033, 0.0, 1e-05, 3e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 4e-05, 4e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00065, 0.0, 6e-05, 4e-05, 0.00095, 0.0, 0.00013, 8e-05, 0.0012, 0.0, 0.00024, 0.00016, 0.0018, 0.0, 0.00067, 0.00044, 0.00559, 0.0, 0.0034, 0.00521, 0.0347, 0.00721]\n",
      "Epoch 74\n",
      "-------------------------------\n",
      "loss: 0.001024  [    0/  391] grads: [0.00068, 0.0, 2e-05, 6e-05, 0.00031, 0.0, 2e-05, 6e-05, 0.00032, 0.0, 2e-05, 5e-05, 0.00032, 0.0, 2e-05, 3e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 1e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00068, 0.0, 8e-05, 5e-05, 0.00077, 0.0, 0.00016, 0.00013, 0.00121, 0.0, 0.00067, 0.00052, 0.00407, 0.0, 0.00256, 0.00351, 0.02676, 0.00444]\n",
      "loss: 0.001082  [   32/  391] grads: [0.00039, 0.0, 3e-05, 4e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.00035, 0.0, 3e-05, 3e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00043, 0.0, 5e-05, 2e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 7e-05, 6e-05, 0.00075, 0.0, 0.00013, 0.00011, 0.00108, 0.0, 0.00055, 0.00046, 0.00337, 0.0, 0.00301, 0.00545, 0.03222, 0.00718]\n",
      "loss: 0.001834  [   64/  391] grads: [0.00136, 0.0, 0.00011, 4e-05, 0.00076, 0.0, 9e-05, 3e-05, 0.00064, 0.0, 9e-05, 2e-05, 0.00053, 0.0, 8e-05, 2e-05, 0.00052, 0.0, 9e-05, 4e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.00062, 0.0, 7e-05, 4e-05, 0.00099, 0.0, 0.00014, 0.0001, 0.00132, 0.0, 0.00023, 0.00018, 0.00191, 0.0, 0.00063, 0.00036, 0.00313, 0.0, 0.00407, 0.008, 0.04911, 0.01067]\n",
      "loss: 0.002220  [   96/  391] grads: [0.00154, 0.0, 6e-05, 0.0001, 0.00058, 0.0, 6e-05, 8e-05, 0.00065, 0.0, 8e-05, 9e-05, 0.00065, 0.0, 0.0001, 7e-05, 0.00084, 0.0, 0.00011, 6e-05, 0.0009, 0.0, 6e-05, 3e-05, 0.00084, 0.0, 8e-05, 5e-05, 0.00118, 0.0, 0.00015, 0.00013, 0.00151, 0.0, 0.00039, 0.00032, 0.00272, 0.0, 0.00174, 0.00136, 0.0102, 0.0, 0.00676, 0.00724, 0.06883, 0.00727]\n",
      "loss: 0.000980  [  128/  391] grads: [0.00012, 0.0, 2e-05, 2e-05, 0.00018, 0.0, 2e-05, 1e-05, 0.0002, 0.0, 2e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 7e-05, 3e-05, 0.00071, 0.0, 0.00011, 5e-05, 0.0011, 0.0, 0.00021, 0.00012, 0.00165, 0.0, 0.00032, 0.00044, 0.00663, 0.0004]\n",
      "loss: 0.000877  [  160/  391] grads: [0.00047, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 3e-05, 1e-05, 0.00033, 0.0, 4e-05, 2e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 4e-05, 0.00062, 0.0, 0.0001, 9e-05, 0.0009, 0.0, 0.00038, 0.00033, 0.00239, 0.0, 0.00189, 0.00309, 0.0207, 0.00379]\n",
      "loss: 0.001027  [  192/  391] grads: [0.00043, 0.0, 5e-05, 6e-05, 0.00037, 0.0, 3e-05, 5e-05, 0.00033, 0.0, 4e-05, 4e-05, 0.00031, 0.0, 3e-05, 3e-05, 0.00029, 0.0, 4e-05, 2e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 5e-05, 4e-05, 0.00062, 0.0, 9e-05, 7e-05, 0.00079, 0.0, 0.00047, 0.00041, 0.00294, 0.0, 0.00199, 0.00174, 0.02095, 0.00151]\n",
      "loss: 0.001309  [  224/  391] grads: [0.00082, 0.0, 5e-05, 0.0001, 0.00051, 0.0, 4e-05, 9e-05, 0.00054, 0.0, 5e-05, 8e-05, 0.00048, 0.0, 7e-05, 6e-05, 0.00057, 0.0, 7e-05, 4e-05, 0.00064, 0.0, 5e-05, 2e-05, 0.00064, 0.0, 6e-05, 3e-05, 0.00088, 0.0, 0.00011, 9e-05, 0.00107, 0.0, 0.00015, 0.00014, 0.00142, 0.0, 0.00082, 0.00073, 0.00519, 0.0, 0.00366, 0.00412, 0.03831, 0.00463]\n",
      "loss: 0.001318  [  256/  391] grads: [0.00072, 0.0, 5e-05, 3e-05, 0.00038, 0.0, 5e-05, 3e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00036, 0.0, 5e-05, 3e-05, 0.00048, 0.0, 6e-05, 3e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 7e-05, 7e-05, 0.00081, 0.0, 0.00017, 0.00015, 0.00146, 0.0, 0.00097, 0.00075, 0.00573, 0.0, 0.00363, 0.00344, 0.03632, 0.00337]\n",
      "loss: 0.004046  [  288/  391] grads: [0.00089, 0.0, 0.0001, 7e-05, 0.00069, 0.0, 9e-05, 7e-05, 0.00063, 0.0, 9e-05, 5e-05, 0.00061, 0.0, 7e-05, 4e-05, 0.00073, 0.0, 0.00011, 5e-05, 0.00072, 0.0, 6e-05, 3e-05, 0.00082, 0.0, 9e-05, 5e-05, 0.00127, 0.0, 0.00018, 0.00016, 0.00182, 0.0, 0.00048, 0.00033, 0.00334, 0.0, 0.00169, 0.00141, 0.01022, 0.0, 0.00757, 0.0133, 0.07912, 0.01674]\n",
      "loss: 0.001036  [  320/  391] grads: [0.00033, 0.0, 5e-05, 6e-05, 0.00036, 0.0, 4e-05, 4e-05, 0.00029, 0.0, 3e-05, 3e-05, 0.00026, 0.0, 3e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 5e-05, 2e-05, 0.0006, 0.0, 0.0001, 3e-05, 0.00085, 0.0, 0.00024, 0.0001, 0.00177, 0.0, 0.00058, 0.0002, 0.0035, 0.0, 0.00181, 0.00201, 0.02317, 0.00211]\n",
      "loss: 0.001899  [  352/  391] grads: [0.00088, 0.0, 4e-05, 9e-05, 0.00048, 0.0, 3e-05, 0.0001, 0.00052, 0.0, 8e-05, 0.00011, 0.00062, 0.0, 0.00013, 9e-05, 0.00077, 0.0, 9e-05, 4e-05, 0.00067, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 8e-05, 5e-05, 0.00108, 0.0, 0.00019, 0.00015, 0.00167, 0.0, 0.00043, 0.00033, 0.00286, 0.0, 0.00146, 0.00109, 0.00878, 0.0, 0.00594, 0.00819, 0.06204, 0.01036]\n",
      "loss: 0.000868  [  168/  391] grads: [0.00046, 0.0, 3e-05, 5e-05, 0.00034, 0.0, 2e-05, 5e-05, 0.00041, 0.0, 4e-05, 5e-05, 0.00041, 0.0, 5e-05, 4e-05, 0.00049, 0.0, 5e-05, 3e-05, 0.00058, 0.0, 3e-05, 3e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00077, 0.0, 7e-05, 6e-05, 0.00091, 0.0, 0.00016, 0.00015, 0.00122, 0.0, 0.00047, 0.00039, 0.00297, 0.0, 0.0025, 0.00369, 0.02679, 0.00503]\n",
      "Epoch 75\n",
      "-------------------------------\n",
      "loss: 0.001170  [    0/  391] grads: [0.00092, 0.0, 4e-05, 8e-05, 0.00039, 0.0, 4e-05, 7e-05, 0.00034, 0.0, 6e-05, 7e-05, 0.00041, 0.0, 7e-05, 5e-05, 0.00052, 0.0, 7e-05, 3e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 9e-05, 8e-05, 0.00094, 0.0, 0.00021, 0.00018, 0.00159, 0.0, 0.00091, 0.00076, 0.00552, 0.0, 0.00422, 0.00542, 0.04457, 0.00668]\n",
      "loss: 0.001226  [   32/  391] grads: [0.00069, 0.0, 6e-05, 2e-05, 0.00044, 0.0, 7e-05, 3e-05, 0.0005, 0.0, 8e-05, 4e-05, 0.00054, 0.0, 6e-05, 3e-05, 0.0006, 0.0, 6e-05, 3e-05, 0.00053, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 6e-05, 3e-05, 0.00095, 0.0, 0.0001, 8e-05, 0.00113, 0.0, 0.00026, 0.0002, 0.00187, 0.0, 0.00074, 0.00058, 0.00454, 0.0, 0.00364, 0.00541, 0.03828, 0.00674]\n",
      "loss: 0.001766  [   64/  391] grads: [0.00016, 0.0, 4e-05, 5e-05, 0.00026, 0.0, 2e-05, 4e-05, 0.0002, 0.0, 1e-05, 4e-05, 0.00019, 0.0, 2e-05, 3e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 6e-05, 4e-05, 0.00075, 0.0, 0.00016, 8e-05, 0.00163, 0.0, 0.00091, 0.0005, 0.00434, 0.0, 0.00393, 0.00551, 0.04641, 0.00716]\n",
      "loss: 0.001850  [   96/  391] grads: [0.00033, 0.0, 6e-05, 0.00014, 0.00055, 0.0, 3e-05, 0.00013, 0.00058, 0.0, 7e-05, 0.00013, 0.00063, 0.0, 9e-05, 0.0001, 0.00063, 0.0, 4e-05, 4e-05, 0.00054, 0.0, 3e-05, 2e-05, 0.0006, 0.0, 7e-05, 5e-05, 0.00102, 0.0, 0.00015, 0.00011, 0.00147, 0.0, 0.00032, 0.00026, 0.00253, 0.0, 0.00146, 0.00113, 0.00802, 0.0, 0.00561, 0.00378, 0.05852, 0.00032]\n",
      "loss: 0.001057  [  128/  391] grads: [0.00021, 0.0, 3e-05, 4e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 3e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00058, 0.0, 7e-05, 4e-05, 0.00081, 0.0, 0.00026, 0.00019, 0.00147, 0.0, 0.00189, 0.00326, 0.02125, 0.00434]\n",
      "loss: 0.001118  [  160/  391] grads: [0.00028, 0.0, 2e-05, 3e-05, 0.00026, 0.0, 2e-05, 3e-05, 0.0004, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 2e-05, 1e-05, 0.00044, 0.0, 5e-05, 3e-05, 0.00053, 0.0, 3e-05, 2e-05, 0.00064, 0.0, 6e-05, 3e-05, 0.00087, 0.0, 0.0001, 6e-05, 0.00101, 0.0, 0.00018, 0.00015, 0.00168, 0.0, 0.00077, 0.00057, 0.00439, 0.0, 0.00318, 0.00334, 0.03197, 0.00381]\n",
      "loss: 0.001220  [  192/  391] grads: [0.00039, 0.0, 6e-05, 9e-05, 0.00058, 0.0, 6e-05, 8e-05, 0.00048, 0.0, 8e-05, 8e-05, 0.00047, 0.0, 0.0001, 6e-05, 0.00051, 0.0, 5e-05, 3e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 6e-05, 3e-05, 0.00079, 0.0, 8e-05, 8e-05, 0.00094, 0.0, 0.00012, 0.00014, 0.00122, 0.0, 0.00073, 0.0007, 0.00437, 0.0, 0.00333, 0.00288, 0.03353, 0.0026]\n",
      "loss: 0.001323  [  224/  391] grads: [0.00083, 0.0, 4e-05, 8e-05, 0.00038, 0.0, 4e-05, 8e-05, 0.00037, 0.0, 6e-05, 7e-05, 0.00038, 0.0, 7e-05, 5e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00033, 0.0, 3e-05, 1e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 9e-05, 8e-05, 0.00086, 0.0, 0.00019, 0.00016, 0.00153, 0.0, 0.00085, 0.00069, 0.00494, 0.0, 0.00365, 0.00302, 0.03596, 0.0027]\n",
      "loss: 0.001708  [  256/  391] grads: [0.00081, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 6e-05, 2e-05, 0.00038, 0.0, 6e-05, 3e-05, 0.00039, 0.0, 5e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00058, 0.0, 7e-05, 4e-05, 0.00101, 0.0, 9e-05, 5e-05, 0.00123, 0.0, 0.00032, 0.00021, 0.00321, 0.0, 0.00097, 0.00076, 0.00557, 0.0, 0.00365, 0.00266, 0.03597, 0.0016]\n",
      "loss: 0.006728  [  288/  391] grads: [0.00038, 0.0, 3e-05, 7e-05, 0.00047, 0.0, 4e-05, 9e-05, 0.00063, 0.0, 7e-05, 9e-05, 0.00077, 0.0, 7e-05, 6e-05, 0.00125, 0.0, 0.00015, 9e-05, 0.00145, 0.0, 0.0001, 6e-05, 0.00151, 0.0, 0.00017, 0.0001, 0.00242, 0.0, 0.00035, 0.00026, 0.0029, 0.0, 0.00083, 0.0006, 0.0055, 0.0, 0.00304, 0.00227, 0.01803, 0.0, 0.01262, 0.01705, 0.12531, 0.02085]\n",
      "loss: 0.001209  [  320/  391] grads: [0.00036, 0.0, 7e-05, 2e-05, 0.00044, 0.0, 5e-05, 2e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 3e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 6e-05, 3e-05, 0.00077, 0.0, 0.0001, 4e-05, 0.00093, 0.0, 0.00026, 0.00012, 0.00189, 0.0, 0.00076, 0.00036, 0.0045, 0.0, 0.00221, 0.00199, 0.02772, 0.00165]\n",
      "loss: 0.002032  [  352/  391] grads: [0.00077, 0.0, 2e-05, 4e-05, 0.00027, 0.0, 2e-05, 3e-05, 0.0003, 0.0, 3e-05, 3e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00044, 0.0, 3e-05, 2e-05, 0.00069, 0.0, 8e-05, 5e-05, 0.00124, 0.0, 0.00017, 8e-05, 0.00228, 0.0, 0.00063, 0.00035, 0.0048, 0.0, 0.00191, 0.00127, 0.01119, 0.0, 0.00515, 0.00688, 0.05289, 0.00829]\n",
      "loss: 0.002555  [  168/  391] grads: [0.00136, 0.0, 0.00024, 0.00014, 0.00157, 0.0, 0.00016, 0.00012, 0.00132, 0.0, 0.00015, 0.00011, 0.00131, 0.0, 0.00013, 9e-05, 0.00153, 0.0, 0.00017, 0.00013, 0.00139, 0.0, 9e-05, 7e-05, 0.00142, 0.0, 0.00014, 0.00012, 0.00184, 0.0, 0.0003, 0.00025, 0.00246, 0.0, 0.00028, 0.00034, 0.00278, 0.0, 0.00054, 0.00048, 0.00347, 0.0, 0.00474, 0.0094, 0.06288, 0.01267]\n",
      "Epoch 76\n",
      "-------------------------------\n",
      "loss: 0.000829  [    0/  391] grads: [0.00025, 0.0, 3e-05, 1e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 1e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 7e-05, 5e-05, 0.00066, 0.0, 0.00017, 0.00011, 0.00106, 0.0, 0.00035, 0.0002, 0.00259, 0.0, 0.00136, 0.00256, 0.01386, 0.0037]\n",
      "loss: 0.001334  [   32/  391] grads: [0.00041, 0.0, 3e-05, 2e-05, 0.00022, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 1e-05, 2e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 9e-05, 7e-05, 0.00093, 0.0, 0.00025, 0.00015, 0.00176, 0.0, 0.00047, 0.00028, 0.00387, 0.0, 0.00278, 0.00535, 0.03065, 0.00754]\n",
      "loss: 0.001606  [   64/  391] grads: [0.00021, 0.0, 3e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 3e-05, 1e-05, 0.00031, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 4e-05, 3e-05, 0.00076, 0.0, 9e-05, 6e-05, 0.0009, 0.0, 0.00012, 6e-05, 0.00126, 0.0, 0.00065, 0.00042, 0.00414, 0.0, 0.00365, 0.00524, 0.04024, 0.00717]\n",
      "loss: 0.001453  [   96/  391] grads: [0.00023, 0.0, 1e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00034, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00074, 0.0, 7e-05, 4e-05, 0.00082, 0.0, 0.00023, 0.00015, 0.00183, 0.0, 0.00103, 0.00068, 0.00592, 0.0, 0.00321, 0.00228, 0.03462, 0.00064]\n",
      "loss: 0.001106  [  128/  391] grads: [0.00044, 0.0, 0.0001, 3e-05, 0.00058, 0.0, 6e-05, 3e-05, 0.00052, 0.0, 5e-05, 2e-05, 0.0005, 0.0, 5e-05, 1e-05, 0.0004, 0.0, 5e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 5e-05, 3e-05, 0.0007, 0.0, 8e-05, 5e-05, 0.00087, 0.0, 0.00013, 6e-05, 0.00123, 0.0, 0.00033, 0.0004, 0.00262, 0.0, 0.00212, 0.00313, 0.02596, 0.00399]\n",
      "loss: 0.000973  [  160/  391] grads: [0.00041, 0.0, 2e-05, 2e-05, 0.00022, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 4e-05, 3e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 3e-05, 3e-05, 0.00059, 0.0, 6e-05, 5e-05, 0.00065, 0.0, 0.0001, 8e-05, 0.00076, 0.0, 0.00025, 0.00014, 0.00145, 0.0, 0.00175, 0.00324, 0.01902, 0.0043]\n",
      "loss: 0.001031  [  192/  391] grads: [0.00033, 0.0, 8e-05, 5e-05, 0.00051, 0.0, 6e-05, 5e-05, 0.00034, 0.0, 5e-05, 4e-05, 0.00032, 0.0, 5e-05, 3e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 5e-05, 3e-05, 0.00068, 0.0, 7e-05, 4e-05, 0.00081, 0.0, 0.00014, 5e-05, 0.00117, 0.0, 0.00035, 0.00032, 0.00301, 0.0, 0.00136, 0.00101, 0.01495, 0.001]\n",
      "loss: 0.001520  [  224/  391] grads: [0.00032, 0.0, 3e-05, 3e-05, 0.0003, 0.0, 2e-05, 3e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 2e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 5e-05, 4e-05, 0.00066, 0.0, 0.00016, 0.00011, 0.00156, 0.0, 0.00095, 0.00072, 0.005, 0.0, 0.00345, 0.00223, 0.0355, 4e-05]\n",
      "loss: 0.000929  [  256/  391] grads: [0.00018, 0.0, 1e-05, 3e-05, 0.00014, 0.0, 1e-05, 3e-05, 0.00016, 0.0, 2e-05, 1e-05, 0.00018, 0.0, 2e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00048, 0.0, 5e-05, 4e-05, 0.00062, 0.0, 0.00013, 0.0001, 0.00104, 0.0, 0.00041, 0.00029, 0.00262, 0.0, 0.00166, 0.00174, 0.01615, 0.00212]\n",
      "loss: 0.005031  [  288/  391] grads: [0.00152, 0.0, 0.00015, 0.00016, 0.0011, 0.0, 0.00012, 0.00015, 0.00104, 0.0, 0.00014, 0.00014, 0.00101, 0.0, 0.00017, 0.00011, 0.00116, 0.0, 0.00013, 6e-05, 0.001, 0.0, 8e-05, 4e-05, 0.00096, 0.0, 0.0001, 6e-05, 0.00149, 0.0, 0.0002, 0.00016, 0.00215, 0.0, 0.00051, 0.00041, 0.00374, 0.0, 0.00215, 0.00175, 0.01321, 0.0, 0.01065, 0.01554, 0.10599, 0.01943]\n",
      "loss: 0.001317  [  320/  391] grads: [0.00031, 0.0, 4e-05, 4e-05, 0.00043, 0.0, 3e-05, 4e-05, 0.00041, 0.0, 3e-05, 4e-05, 0.0005, 0.0, 3e-05, 4e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 5e-05, 4e-05, 0.00099, 0.0, 7e-05, 5e-05, 0.00097, 0.0, 8e-05, 7e-05, 0.00105, 0.0, 0.00065, 0.00048, 0.0033, 0.0, 0.00261, 0.0024, 0.02694, 0.00233]\n",
      "loss: 0.001875  [  352/  391] grads: [0.00042, 0.0, 6e-05, 0.00012, 0.00067, 0.0, 5e-05, 0.00013, 0.00075, 0.0, 8e-05, 0.00012, 0.00077, 0.0, 0.00011, 0.0001, 0.00089, 0.0, 9e-05, 5e-05, 0.00084, 0.0, 6e-05, 4e-05, 0.00079, 0.0, 8e-05, 5e-05, 0.00103, 0.0, 0.00013, 0.00012, 0.00134, 0.0, 0.00029, 0.00028, 0.00241, 0.0, 0.0013, 0.00108, 0.00813, 0.0, 0.00651, 0.00771, 0.06771, 0.00975]\n",
      "loss: 0.001148  [  168/  391] grads: [0.0004, 0.0, 4e-05, 5e-05, 0.00036, 0.0, 3e-05, 5e-05, 0.00055, 0.0, 6e-05, 4e-05, 0.00058, 0.0, 5e-05, 2e-05, 0.00059, 0.0, 6e-05, 3e-05, 0.0007, 0.0, 4e-05, 3e-05, 0.00064, 0.0, 5e-05, 4e-05, 0.00092, 0.0, 7e-05, 6e-05, 0.0009, 0.0, 0.00015, 0.00012, 0.00128, 0.0, 0.0007, 0.00052, 0.00438, 0.0, 0.00318, 0.0028, 0.03261, 0.00291]\n",
      "Epoch 77\n",
      "-------------------------------\n",
      "loss: 0.001272  [    0/  391] grads: [0.00048, 0.0, 7e-05, 3e-05, 0.00044, 0.0, 4e-05, 4e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00048, 0.0, 7e-05, 4e-05, 0.00048, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 4e-05, 3e-05, 0.00064, 0.0, 7e-05, 7e-05, 0.00086, 0.0, 0.00021, 0.00017, 0.00163, 0.0, 0.00098, 0.00078, 0.00601, 0.0, 0.00443, 0.00562, 0.04639, 0.00692]\n",
      "loss: 0.001222  [   32/  391] grads: [0.00031, 0.0, 1e-05, 2e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 5e-05, 4e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00036, 0.0, 4e-05, 3e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 5e-05, 4e-05, 0.00079, 0.0, 0.0001, 8e-05, 0.00092, 0.0, 0.00027, 0.00019, 0.00163, 0.0, 0.00055, 0.00029, 0.00374, 0.0, 0.00286, 0.00545, 0.03016, 0.00754]\n",
      "loss: 0.001866  [   64/  391] grads: [0.00084, 0.0, 5e-05, 4e-05, 0.00033, 0.0, 5e-05, 3e-05, 0.00038, 0.0, 7e-05, 4e-05, 0.00039, 0.0, 5e-05, 3e-05, 0.00039, 0.0, 5e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.0008, 0.0, 0.00011, 8e-05, 0.00101, 0.0, 0.00025, 0.00017, 0.00185, 0.0, 0.00064, 0.00035, 0.00401, 0.0, 0.00409, 0.00782, 0.04499, 0.01094]\n",
      "loss: 0.002803  [   96/  391] grads: [0.00049, 0.0, 6e-05, 0.00017, 0.00071, 0.0, 6e-05, 0.00015, 0.00061, 0.0, 8e-05, 0.00014, 0.00061, 0.0, 7e-05, 8e-05, 0.0006, 0.0, 7e-05, 5e-05, 0.00062, 0.0, 4e-05, 3e-05, 0.00071, 0.0, 7e-05, 5e-05, 0.0012, 0.0, 0.00016, 0.00013, 0.00182, 0.0, 0.00029, 0.00023, 0.00317, 0.0, 0.00184, 0.00135, 0.00978, 0.0, 0.00763, 0.00634, 0.08657, 0.00541]\n",
      "loss: 0.001672  [  128/  391] grads: [0.00039, 0.0, 4e-05, 7e-05, 0.00034, 0.0, 3e-05, 7e-05, 0.00032, 0.0, 4e-05, 7e-05, 0.00035, 0.0, 4e-05, 5e-05, 0.00036, 0.0, 4e-05, 3e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00037, 0.0, 4e-05, 3e-05, 0.00069, 0.0, 0.00011, 8e-05, 0.00124, 0.0, 0.0002, 0.00013, 0.00213, 0.0, 0.001, 0.00064, 0.00532, 0.0, 0.00467, 0.00512, 0.0539, 0.0058]\n",
      "loss: 0.001029  [  160/  391] grads: [0.0007, 0.0, 3e-05, 7e-05, 0.00035, 0.0, 3e-05, 5e-05, 0.00027, 0.0, 4e-05, 3e-05, 0.00027, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 6e-05, 3e-05, 0.00064, 0.0, 7e-05, 5e-05, 0.00079, 0.0, 0.00017, 0.00013, 0.00139, 0.0, 0.00052, 0.00033, 0.00315, 0.0, 0.0018, 0.00132, 0.01821, 0.00092]\n",
      "loss: 0.001667  [  192/  391] grads: [0.00034, 0.0, 0.00011, 7e-05, 0.00076, 0.0, 7e-05, 6e-05, 0.00043, 0.0, 5e-05, 5e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.00042, 0.0, 5e-05, 2e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.00105, 0.0, 0.00011, 7e-05, 0.0013, 0.0, 0.00021, 0.00015, 0.00173, 0.0, 0.00119, 0.00102, 0.00691, 0.0, 0.00465, 0.00367, 0.04673, 0.00285]\n",
      "loss: 0.001212  [  224/  391] grads: [0.00038, 0.0, 5e-05, 0.00012, 0.00056, 0.0, 3e-05, 9e-05, 0.00046, 0.0, 5e-05, 8e-05, 0.00042, 0.0, 6e-05, 5e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.0007, 0.0, 0.0001, 8e-05, 0.00112, 0.0, 0.00019, 0.00016, 0.00176, 0.0, 0.00092, 0.00075, 0.00521, 0.0, 0.00392, 0.0032, 0.03798, 0.00302]\n",
      "loss: 0.001777  [  256/  391] grads: [0.00031, 0.0, 3e-05, 6e-05, 0.00029, 0.0, 2e-05, 5e-05, 0.00031, 0.0, 2e-05, 3e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00065, 0.0, 6e-05, 4e-05, 0.0006, 0.0, 7e-05, 5e-05, 0.00095, 0.0, 0.00067, 0.00049, 0.00371, 0.0, 0.00313, 0.0029, 0.03163, 0.00315]\n",
      "loss: 0.004978  [  288/  391] grads: [0.00139, 0.0, 0.00013, 4e-05, 0.00079, 0.0, 7e-05, 2e-05, 0.00053, 0.0, 7e-05, 2e-05, 0.00058, 0.0, 5e-05, 4e-05, 0.0007, 0.0, 0.0001, 5e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 7e-05, 6e-05, 0.00127, 0.0, 0.00014, 0.00011, 0.00175, 0.0, 0.0006, 0.00037, 0.00443, 0.0, 0.00237, 0.00183, 0.01381, 0.0, 0.00921, 0.01612, 0.09105, 0.0199]\n",
      "loss: 0.001503  [  320/  391] grads: [0.00036, 0.0, 6e-05, 1e-05, 0.00041, 0.0, 3e-05, 3e-05, 0.00041, 0.0, 4e-05, 1e-05, 0.00041, 0.0, 3e-05, 1e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00037, 0.0, 4e-05, 3e-05, 0.0006, 0.0, 9e-05, 4e-05, 0.00084, 0.0, 0.00024, 0.00012, 0.00182, 0.0, 0.00072, 0.00029, 0.00404, 0.0, 0.00246, 0.00206, 0.02667, 0.00196]\n",
      "loss: 0.001712  [  352/  391] grads: [0.00022, 0.0, 3e-05, 2e-05, 0.00026, 0.0, 3e-05, 3e-05, 0.00033, 0.0, 4e-05, 3e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00063, 0.0, 8e-05, 6e-05, 0.00063, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 9e-05, 6e-05, 0.00107, 0.0, 0.00018, 0.00014, 0.00155, 0.0, 0.00048, 0.00035, 0.00294, 0.0, 0.00125, 0.00084, 0.00772, 0.0, 0.00528, 0.00696, 0.05194, 0.0088]\n",
      "loss: 0.001592  [  168/  391] grads: [0.00018, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 5e-05, 3e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.0005, 0.0, 3e-05, 3e-05, 0.00053, 0.0, 4e-05, 3e-05, 0.0006, 0.0, 7e-05, 5e-05, 0.00082, 0.0, 0.00026, 0.00015, 0.00218, 0.0, 0.00109, 0.00068, 0.00649, 0.0, 0.0032, 0.00324, 0.03322, 0.0033]\n",
      "Epoch 78\n",
      "-------------------------------\n",
      "loss: 0.000766  [    0/  391] grads: [0.00024, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.00046, 0.0, 3e-05, 1e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00039, 0.0, 2e-05, 2e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00065, 0.0, 6e-05, 4e-05, 0.00067, 0.0, 0.0001, 8e-05, 0.00085, 0.0, 0.00027, 0.00018, 0.00182, 0.0, 0.00142, 0.00189, 0.0143, 0.00245]\n",
      "loss: 0.000861  [   32/  391] grads: [0.00028, 0.0, 3e-05, 1e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00026, 0.0, 3e-05, 1e-05, 0.00028, 0.0, 4e-05, 2e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00054, 0.0, 6e-05, 5e-05, 0.00067, 0.0, 0.00013, 0.0001, 0.00103, 0.0, 0.00035, 0.00021, 0.00226, 0.0, 0.00194, 0.00325, 0.02056, 0.00409]\n",
      "loss: 0.001469  [   64/  391] grads: [0.00065, 0.0, 7e-05, 2e-05, 0.00047, 0.0, 6e-05, 3e-05, 0.00044, 0.0, 9e-05, 5e-05, 0.00041, 0.0, 7e-05, 3e-05, 0.00035, 0.0, 6e-05, 3e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 0.0001, 6e-05, 0.00099, 0.0, 0.00017, 0.00014, 0.00161, 0.0, 0.00054, 0.0003, 0.00276, 0.0, 0.00314, 0.00578, 0.03603, 0.00761]\n",
      "loss: 0.001618  [   96/  391] grads: [0.00047, 0.0, 4e-05, 8e-05, 0.0005, 0.0, 3e-05, 8e-05, 0.00064, 0.0, 7e-05, 9e-05, 0.00059, 0.0, 8e-05, 7e-05, 0.00054, 0.0, 6e-05, 3e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00054, 0.0, 6e-05, 4e-05, 0.00091, 0.0, 0.00011, 9e-05, 0.00115, 0.0, 0.00027, 0.00023, 0.00193, 0.0, 0.0012, 0.00094, 0.00691, 0.0, 0.00501, 0.00463, 0.0499, 0.0042]\n",
      "loss: 0.001401  [  128/  391] grads: [0.00036, 0.0, 7e-05, 2e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 4e-05, 3e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00081, 0.0, 0.0001, 4e-05, 0.00096, 0.0, 0.00031, 0.00014, 0.00179, 0.0, 0.0006, 0.00021, 0.00397, 0.0, 0.00284, 0.00351, 0.03589, 0.00414]\n",
      "loss: 0.000867  [  160/  391] grads: [0.00036, 0.0, 2e-05, 4e-05, 0.00022, 0.0, 2e-05, 2e-05, 0.00022, 0.0, 2e-05, 2e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 4e-05, 4e-05, 0.00044, 0.0, 6e-05, 5e-05, 0.00067, 0.0, 0.00032, 0.00025, 0.00172, 0.0, 0.00151, 0.00181, 0.01718, 0.00217]\n",
      "loss: 0.001918  [  192/  391] grads: [0.00074, 0.0, 0.00016, 4e-05, 0.00099, 0.0, 0.0001, 3e-05, 0.0007, 0.0, 9e-05, 3e-05, 0.00062, 0.0, 7e-05, 3e-05, 0.00074, 0.0, 8e-05, 6e-05, 0.0008, 0.0, 7e-05, 4e-05, 0.00093, 0.0, 0.0001, 6e-05, 0.00129, 0.0, 0.00018, 0.00012, 0.00155, 0.0, 0.00024, 9e-05, 0.00172, 0.0, 0.00035, 0.00062, 0.00335, 0.0, 0.0032, 0.0056, 0.04512, 0.00708]\n",
      "loss: 0.001235  [  224/  391] grads: [0.00035, 0.0, 4e-05, 0.00011, 0.00041, 0.0, 3e-05, 8e-05, 0.00035, 0.0, 5e-05, 8e-05, 0.00038, 0.0, 5e-05, 4e-05, 0.00038, 0.0, 4e-05, 2e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00071, 0.0, 0.00011, 8e-05, 0.00091, 0.0, 0.00018, 0.00016, 0.0015, 0.0, 0.00091, 0.00072, 0.00509, 0.0, 0.00348, 0.00296, 0.03409, 0.00283]\n",
      "loss: 0.001367  [  256/  391] grads: [0.00038, 0.0, 6e-05, 2e-05, 0.00041, 0.0, 4e-05, 1e-05, 0.00039, 0.0, 4e-05, 4e-05, 0.00043, 0.0, 3e-05, 3e-05, 0.00036, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00076, 0.0, 8e-05, 4e-05, 0.00083, 0.0, 0.00025, 0.00015, 0.0018, 0.0, 0.00072, 0.00047, 0.00392, 0.0, 0.00247, 0.0021, 0.02771, 0.00171]\n",
      "loss: 0.004086  [  288/  391] grads: [0.00061, 0.0, 9e-05, 0.00023, 0.0009, 0.0, 7e-05, 0.00018, 0.00083, 0.0, 9e-05, 0.00016, 0.00076, 0.0, 8e-05, 8e-05, 0.00088, 0.0, 0.00011, 6e-05, 0.00098, 0.0, 8e-05, 5e-05, 0.00103, 0.0, 9e-05, 7e-05, 0.00158, 0.0, 0.00022, 0.00016, 0.00196, 0.0, 0.0004, 0.00033, 0.0032, 0.0, 0.00192, 0.00161, 0.01149, 0.0, 0.00866, 0.01313, 0.08621, 0.0163]\n",
      "loss: 0.001019  [  320/  391] grads: [0.00021, 0.0, 2e-05, 6e-05, 0.00027, 0.0, 2e-05, 4e-05, 0.00031, 0.0, 3e-05, 3e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00059, 0.0, 7e-05, 4e-05, 0.0007, 0.0, 0.00015, 9e-05, 0.00133, 0.0, 0.00063, 0.00035, 0.00298, 0.0, 0.00171, 0.00116, 0.01761, 8e-05]\n",
      "loss: 0.001591  [  352/  391] grads: [0.00052, 0.0, 5e-05, 0.0002, 0.00061, 0.0, 4e-05, 0.00017, 0.00056, 0.0, 6e-05, 0.00015, 0.00054, 0.0, 7e-05, 9e-05, 0.0006, 0.0, 5e-05, 4e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.00069, 0.0, 7e-05, 5e-05, 0.00102, 0.0, 0.00014, 0.00011, 0.00121, 0.0, 0.0003, 0.00025, 0.00199, 0.0, 0.00116, 0.0009, 0.00681, 0.0, 0.0051, 0.00661, 0.05149, 0.00842]\n",
      "loss: 0.001137  [  168/  391] grads: [0.00075, 0.0, 7e-05, 5e-05, 0.00049, 0.0, 5e-05, 6e-05, 0.00036, 0.0, 5e-05, 5e-05, 0.00043, 0.0, 4e-05, 4e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00055, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 6e-05, 4e-05, 0.00102, 0.0, 9e-05, 6e-05, 0.00103, 0.0, 0.00015, 0.00012, 0.00127, 0.0, 0.00061, 0.0005, 0.00375, 0.0, 0.0028, 0.00293, 0.02924, 0.00329]\n",
      "Epoch 79\n",
      "-------------------------------\n",
      "loss: 0.001042  [    0/  391] grads: [0.00021, 0.0, 2e-05, 5e-05, 0.00029, 0.0, 2e-05, 5e-05, 0.00028, 0.0, 3e-05, 6e-05, 0.00029, 0.0, 3e-05, 3e-05, 0.0003, 0.0, 4e-05, 2e-05, 0.00033, 0.0, 2e-05, 1e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 6e-05, 6e-05, 0.00071, 0.0, 0.00018, 0.00015, 0.00128, 0.0, 0.00069, 0.00054, 0.00424, 0.0, 0.00326, 0.00454, 0.03312, 0.006]\n",
      "loss: 0.000986  [   32/  391] grads: [0.00027, 0.0, 3e-05, 6e-05, 0.00027, 0.0, 3e-05, 4e-05, 0.00028, 0.0, 3e-05, 3e-05, 0.00038, 0.0, 3e-05, 3e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00039, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 7e-05, 4e-05, 0.00078, 0.0, 0.00017, 7e-05, 0.00131, 0.0, 0.00034, 0.0003, 0.003, 0.0, 0.00145, 0.00241, 0.01534, 0.00341]\n",
      "loss: 0.001806  [   64/  391] grads: [0.00139, 0.0, 6e-05, 4e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00049, 0.0, 6e-05, 3e-05, 0.00047, 0.0, 7e-05, 4e-05, 0.00051, 0.0, 8e-05, 5e-05, 0.0005, 0.0, 4e-05, 2e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.0009, 0.0, 0.00011, 8e-05, 0.00119, 0.0, 0.00026, 0.00018, 0.00202, 0.0, 0.00076, 0.00035, 0.00397, 0.0, 0.00437, 0.0083, 0.04833, 0.01118]\n",
      "loss: 0.001895  [   96/  391] grads: [0.00056, 0.0, 7e-05, 0.00014, 0.00063, 0.0, 5e-05, 0.0001, 0.00068, 0.0, 7e-05, 9e-05, 0.00061, 0.0, 8e-05, 6e-05, 0.00056, 0.0, 9e-05, 4e-05, 0.00065, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 6e-05, 4e-05, 0.00105, 0.0, 0.00011, 0.00011, 0.00136, 0.0, 0.00027, 0.00025, 0.0023, 0.0, 0.00157, 0.00126, 0.00853, 0.0, 0.006, 0.00517, 0.05997, 0.00447]\n",
      "loss: 0.000954  [  128/  391] grads: [7e-05, 0.0, 1e-05, 1e-05, 0.0001, 0.0, 1e-05, 1e-05, 0.00013, 0.0, 2e-05, 1e-05, 0.00017, 0.0, 1e-05, 1e-05, 0.00016, 0.0, 1e-05, 1e-05, 0.00019, 0.0, 1e-05, 1e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 7e-05, 4e-05, 0.00084, 0.0, 0.00029, 0.00011, 0.00171, 0.0, 0.00166, 0.00241, 0.01746, 0.00315]\n",
      "loss: 0.001181  [  160/  391] grads: [0.00029, 0.0, 1e-05, 3e-05, 0.00021, 0.0, 2e-05, 3e-05, 0.00029, 0.0, 3e-05, 4e-05, 0.0003, 0.0, 3e-05, 3e-05, 0.00032, 0.0, 4e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00043, 0.0, 6e-05, 3e-05, 0.00067, 0.0, 8e-05, 6e-05, 0.00085, 0.0, 0.00025, 0.00017, 0.00161, 0.0, 0.0008, 0.00058, 0.00434, 0.0, 0.00332, 0.00553, 0.03273, 0.00687]\n",
      "loss: 0.001439  [  192/  391] grads: [0.00054, 0.0, 0.0001, 5e-05, 0.00061, 0.0, 6e-05, 4e-05, 0.00052, 0.0, 7e-05, 3e-05, 0.00047, 0.0, 5e-05, 2e-05, 0.00041, 0.0, 6e-05, 2e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 6e-05, 3e-05, 0.0009, 0.0, 0.0001, 5e-05, 0.00106, 0.0, 0.00021, 8e-05, 0.00158, 0.0, 0.0005, 0.00052, 0.00423, 0.0, 0.00246, 0.0015, 0.02509, 0.00111]\n",
      "loss: 0.001721  [  224/  391] grads: [0.00092, 0.0, 7e-05, 0.00016, 0.00067, 0.0, 6e-05, 0.00013, 0.00063, 0.0, 0.0001, 0.00013, 0.00061, 0.0, 0.00012, 9e-05, 0.00063, 0.0, 8e-05, 5e-05, 0.0006, 0.0, 5e-05, 3e-05, 0.00066, 0.0, 7e-05, 5e-05, 0.00099, 0.0, 0.00012, 0.00012, 0.00136, 0.0, 0.00022, 0.00021, 0.00195, 0.0, 0.00119, 0.00108, 0.00694, 0.0, 0.00542, 0.00547, 0.05319, 0.00583]\n",
      "loss: 0.001297  [  256/  391] grads: [0.00028, 0.0, 2e-05, 4e-05, 0.00019, 0.0, 1e-05, 3e-05, 0.00017, 0.0, 3e-05, 3e-05, 0.00021, 0.0, 3e-05, 2e-05, 0.00024, 0.0, 3e-05, 2e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00053, 0.0, 6e-05, 5e-05, 0.0006, 0.0, 0.00012, 0.0001, 0.001, 0.0, 0.00069, 0.00051, 0.00378, 0.0, 0.00279, 0.00171, 0.02674, 0.00018]\n",
      "loss: 0.003632  [  288/  391] grads: [0.00032, 0.0, 4e-05, 0.00019, 0.00063, 0.0, 4e-05, 0.00016, 0.00069, 0.0, 6e-05, 0.00014, 0.00063, 0.0, 0.0001, 0.0001, 0.00073, 0.0, 8e-05, 4e-05, 0.00072, 0.0, 5e-05, 3e-05, 0.00072, 0.0, 7e-05, 4e-05, 0.00107, 0.0, 0.00017, 0.00013, 0.00159, 0.0, 0.00044, 0.00031, 0.00301, 0.0, 0.00181, 0.00143, 0.01095, 0.0, 0.00794, 0.01147, 0.07896, 0.0143]\n",
      "loss: 0.002254  [  320/  391] grads: [0.00099, 0.0, 0.00017, 7e-05, 0.00088, 0.0, 0.0001, 7e-05, 0.00059, 0.0, 0.0001, 2e-05, 0.00056, 0.0, 7e-05, 3e-05, 0.00065, 0.0, 0.0001, 6e-05, 0.00062, 0.0, 6e-05, 4e-05, 0.00072, 0.0, 7e-05, 6e-05, 0.00101, 0.0, 0.00014, 0.00011, 0.00134, 0.0, 0.00022, 0.00018, 0.00229, 0.0, 0.0012, 0.00059, 0.00592, 0.0, 0.00384, 0.00525, 0.053, 0.00598]\n",
      "loss: 0.001535  [  352/  391] grads: [0.0003, 0.0, 2e-05, 4e-05, 0.00023, 0.0, 1e-05, 4e-05, 0.00029, 0.0, 3e-05, 5e-05, 0.00029, 0.0, 3e-05, 3e-05, 0.00034, 0.0, 5e-05, 3e-05, 0.00038, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00067, 0.0, 0.0001, 9e-05, 0.00096, 0.0, 0.00039, 0.00027, 0.00242, 0.0, 0.00129, 0.00088, 0.00751, 0.0, 0.00457, 0.0062, 0.04633, 0.00775]\n",
      "loss: 0.001224  [  168/  391] grads: [0.00014, 0.0, 2e-05, 1e-05, 0.00018, 0.0, 2e-05, 1e-05, 0.00021, 0.0, 1e-05, 2e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 4e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00058, 0.0, 8e-05, 6e-05, 0.00077, 0.0, 0.00022, 0.00015, 0.00157, 0.0, 0.00052, 0.00018, 0.00277, 0.0, 0.00305, 0.0056, 0.03476, 0.00787]\n",
      "Epoch 80\n",
      "-------------------------------\n",
      "loss: 0.001022  [    0/  391] grads: [0.00085, 0.0, 7e-05, 3e-05, 0.00046, 0.0, 5e-05, 4e-05, 0.00043, 0.0, 8e-05, 4e-05, 0.00046, 0.0, 6e-05, 3e-05, 0.0005, 0.0, 7e-05, 4e-05, 0.00049, 0.0, 5e-05, 3e-05, 0.00058, 0.0, 6e-05, 4e-05, 0.00085, 0.0, 9e-05, 9e-05, 0.00098, 0.0, 0.00017, 0.00018, 0.00136, 0.0, 0.0004, 0.00032, 0.00289, 0.0, 0.0029, 0.00496, 0.03542, 0.00651]\n",
      "loss: 0.001014  [   32/  391] grads: [0.00063, 0.0, 5e-05, 4e-05, 0.00029, 0.0, 4e-05, 3e-05, 0.00026, 0.0, 4e-05, 1e-05, 0.00026, 0.0, 3e-05, 1e-05, 0.00031, 0.0, 5e-05, 3e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 7e-05, 6e-05, 0.00067, 0.0, 0.00015, 0.00012, 0.00119, 0.0, 0.00037, 0.00016, 0.00201, 0.0, 0.0025, 0.00487, 0.02968, 0.00663]\n",
      "loss: 0.001788  [   64/  391] grads: [0.00023, 0.0, 4e-05, 3e-05, 0.00025, 0.0, 3e-05, 2e-05, 0.00018, 0.0, 2e-05, 1e-05, 0.00019, 0.0, 2e-05, 1e-05, 0.00024, 0.0, 4e-05, 2e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 0.0001, 6e-05, 0.00081, 0.0, 0.00017, 0.0001, 0.00142, 0.0, 0.00057, 0.00029, 0.00378, 0.0, 0.00432, 0.00747, 0.04657, 0.01044]\n",
      "loss: 0.001804  [   96/  391] grads: [0.00112, 0.0, 0.00016, 3e-05, 0.0009, 0.0, 0.0001, 3e-05, 0.00069, 0.0, 9e-05, 3e-05, 0.00056, 0.0, 6e-05, 3e-05, 0.00066, 0.0, 0.0001, 5e-05, 0.00063, 0.0, 5e-05, 3e-05, 0.00068, 0.0, 8e-05, 5e-05, 0.00108, 0.0, 0.00011, 0.00011, 0.00128, 0.0, 0.00026, 0.00025, 0.00215, 0.0, 0.00134, 0.00118, 0.0075, 0.0, 0.00504, 0.00596, 0.05145, 0.00641]\n",
      "loss: 0.000994  [  128/  391] grads: [0.00047, 0.0, 3e-05, 3e-05, 0.00025, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 3e-05, 1e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 5e-05, 3e-05, 0.0003, 0.0, 3e-05, 2e-05, 0.00038, 0.0, 5e-05, 3e-05, 0.00056, 0.0, 6e-05, 6e-05, 0.00069, 0.0, 0.00024, 0.00018, 0.00147, 0.0, 0.00062, 0.0004, 0.00372, 0.0, 0.00236, 0.00266, 0.02348, 0.00289]\n",
      "loss: 0.000924  [  160/  391] grads: [0.00032, 0.0, 1e-05, 1e-05, 0.00011, 0.0, 1e-05, 1e-05, 0.0002, 0.0, 1e-05, 2e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 1e-05, 1e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 4e-05, 4e-05, 0.00052, 0.0, 0.0002, 0.00013, 0.00133, 0.0, 0.00059, 0.00036, 0.00324, 0.0, 0.00236, 0.00305, 0.02301, 0.00371]\n",
      "loss: 0.001350  [  192/  391] grads: [0.00027, 0.0, 3e-05, 7e-05, 0.00028, 0.0, 3e-05, 5e-05, 0.00027, 0.0, 2e-05, 3e-05, 0.00019, 0.0, 2e-05, 2e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 3e-05, 3e-05, 0.00043, 0.0, 5e-05, 5e-05, 0.00054, 0.0, 0.00011, 8e-05, 0.00089, 0.0, 0.00068, 0.00059, 0.00345, 0.0, 0.00254, 0.00168, 0.02454, 0.00094]\n",
      "loss: 0.001204  [  224/  391] grads: [0.00019, 0.0, 2e-05, 8e-05, 0.00029, 0.0, 2e-05, 7e-05, 0.00026, 0.0, 2e-05, 5e-05, 0.00022, 0.0, 2e-05, 3e-05, 0.00024, 0.0, 3e-05, 2e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00048, 0.0, 8e-05, 6e-05, 0.0007, 0.0, 0.00017, 0.00013, 0.00139, 0.0, 0.00096, 0.00071, 0.00502, 0.0, 0.00347, 0.00244, 0.03367, 0.00155]\n",
      "loss: 0.001260  [  256/  391] grads: [8e-05, 0.0, 2e-05, 1e-05, 0.00018, 0.0, 2e-05, 1e-05, 0.00016, 0.0, 1e-05, 1e-05, 0.00019, 0.0, 1e-05, 1e-05, 0.0002, 0.0, 1e-05, 1e-05, 0.00024, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 5e-05, 3e-05, 0.00047, 0.0, 6e-05, 4e-05, 0.00059, 0.0, 0.00018, 0.00011, 0.00133, 0.0, 0.00075, 0.00046, 0.0039, 0.0, 0.0026, 0.00167, 0.02558, 0.00063]\n",
      "loss: 0.003692  [  288/  391] grads: [0.00118, 0.0, 0.00018, 5e-05, 0.001, 0.0, 0.00012, 4e-05, 0.00066, 0.0, 9e-05, 4e-05, 0.0006, 0.0, 5e-05, 5e-05, 0.00068, 0.0, 0.00011, 5e-05, 0.00061, 0.0, 5e-05, 3e-05, 0.00067, 0.0, 7e-05, 6e-05, 0.00115, 0.0, 0.00016, 0.00012, 0.00152, 0.0, 0.00046, 0.0003, 0.00313, 0.0, 0.00169, 0.00142, 0.00966, 0.0, 0.00725, 0.01305, 0.07241, 0.01649]\n",
      "loss: 0.001270  [  320/  391] grads: [0.00031, 0.0, 1e-05, 2e-05, 0.00016, 0.0, 1e-05, 2e-05, 0.00017, 0.0, 1e-05, 3e-05, 0.00021, 0.0, 1e-05, 1e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 3e-05, 1e-05, 0.00037, 0.0, 4e-05, 3e-05, 0.00049, 0.0, 7e-05, 5e-05, 0.00059, 0.0, 9e-05, 7e-05, 0.00085, 0.0, 0.00043, 0.00018, 0.00231, 0.0, 0.0025, 0.00459, 0.02619, 0.00613]\n",
      "loss: 0.002048  [  352/  391] grads: [0.00045, 0.0, 0.0001, 4e-05, 0.00069, 0.0, 6e-05, 5e-05, 0.0006, 0.0, 5e-05, 4e-05, 0.00077, 0.0, 6e-05, 5e-05, 0.00119, 0.0, 0.00016, 0.00011, 0.0014, 0.0, 0.00011, 6e-05, 0.0013, 0.0, 0.00012, 8e-05, 0.00155, 0.0, 0.00022, 0.00019, 0.00193, 0.0, 0.00037, 0.00037, 0.00276, 0.0, 0.00116, 0.00093, 0.00706, 0.0, 0.00638, 0.00933, 0.0658, 0.01235]\n",
      "loss: 0.001143  [  168/  391] grads: [0.00037, 0.0, 2e-05, 5e-05, 0.00023, 0.0, 2e-05, 5e-05, 0.00031, 0.0, 3e-05, 4e-05, 0.00033, 0.0, 4e-05, 3e-05, 0.00044, 0.0, 3e-05, 3e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.00077, 0.0, 0.00012, 7e-05, 0.001, 0.0, 0.00025, 0.00016, 0.00165, 0.0, 0.00079, 0.00052, 0.00506, 0.0, 0.0032, 0.00447, 0.03287, 0.00594]\n",
      "Epoch 81\n",
      "-------------------------------\n",
      "loss: 0.000850  [    0/  391] grads: [0.00033, 0.0, 3e-05, 2e-05, 0.00024, 0.0, 3e-05, 2e-05, 0.00022, 0.0, 3e-05, 1e-05, 0.00022, 0.0, 3e-05, 1e-05, 0.00022, 0.0, 2e-05, 1e-05, 0.00024, 0.0, 3e-05, 1e-05, 0.00032, 0.0, 4e-05, 2e-05, 0.00048, 0.0, 8e-05, 4e-05, 0.00068, 0.0, 0.00018, 0.0001, 0.00137, 0.0, 0.00062, 0.00037, 0.00369, 0.0, 0.00162, 0.00153, 0.02094, 0.00161]\n",
      "loss: 0.001084  [   32/  391] grads: [0.00022, 0.0, 2e-05, 1e-05, 0.00018, 0.0, 2e-05, 1e-05, 0.00021, 0.0, 1e-05, 2e-05, 0.0002, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 6e-05, 5e-05, 0.00064, 0.0, 0.00015, 0.0001, 0.00119, 0.0, 0.0005, 0.00021, 0.00286, 0.0, 0.00292, 0.00529, 0.03135, 0.00739]\n",
      "loss: 0.001991  [   64/  391] grads: [0.00021, 0.0, 2e-05, 9e-05, 0.00027, 0.0, 2e-05, 8e-05, 0.00023, 0.0, 2e-05, 5e-05, 0.0002, 0.0, 2e-05, 4e-05, 0.00021, 0.0, 2e-05, 3e-05, 0.00022, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 3e-05, 3e-05, 0.00052, 0.0, 8e-05, 6e-05, 0.00089, 0.0, 0.00023, 0.00014, 0.00219, 0.0, 0.00112, 0.00061, 0.00508, 0.0, 0.00487, 0.00702, 0.05892, 0.00927]\n",
      "loss: 0.001342  [   96/  391] grads: [0.0003, 0.0, 2e-05, 4e-05, 0.00024, 0.0, 1e-05, 4e-05, 0.00022, 0.0, 3e-05, 4e-05, 0.00026, 0.0, 3e-05, 3e-05, 0.0003, 0.0, 3e-05, 2e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00051, 0.0, 5e-05, 4e-05, 0.00079, 0.0, 0.00012, 8e-05, 0.00109, 0.0, 0.00025, 0.00017, 0.00171, 0.0, 0.00086, 0.00053, 0.00478, 0.0, 0.0034, 0.00226, 0.03568, 0.00088]\n",
      "loss: 0.000963  [  128/  391] grads: [0.00043, 0.0, 9e-05, 5e-05, 0.00054, 0.0, 6e-05, 5e-05, 0.00049, 0.0, 6e-05, 4e-05, 0.00044, 0.0, 5e-05, 3e-05, 0.00036, 0.0, 5e-05, 2e-05, 0.00042, 0.0, 4e-05, 1e-05, 0.00045, 0.0, 6e-05, 2e-05, 0.00073, 0.0, 9e-05, 4e-05, 0.00084, 0.0, 0.00019, 8e-05, 0.00137, 0.0, 0.00026, 0.0003, 0.00245, 0.0, 0.00152, 0.0024, 0.01881, 0.00301]\n",
      "loss: 0.000768  [  160/  391] grads: [0.00024, 0.0, 1e-05, 3e-05, 0.00017, 0.0, 2e-05, 3e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00024, 0.0, 3e-05, 2e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00037, 0.0, 4e-05, 3e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.00067, 0.0, 0.00011, 9e-05, 0.00095, 0.0, 0.00028, 0.00013, 0.00128, 0.0, 0.00114, 0.00239, 0.01437, 0.00303]\n",
      "loss: 0.001123  [  192/  391] grads: [0.00027, 0.0, 6e-05, 7e-05, 0.00047, 0.0, 5e-05, 6e-05, 0.00035, 0.0, 4e-05, 3e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.0003, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 3e-05, 1e-05, 0.00045, 0.0, 5e-05, 2e-05, 0.00061, 0.0, 6e-05, 4e-05, 0.00064, 0.0, 0.00014, 6e-05, 0.00096, 0.0, 0.00026, 0.00018, 0.00186, 0.0, 0.00119, 0.00211, 0.01204, 0.00281]\n",
      "loss: 0.001521  [  224/  391] grads: [0.00037, 0.0, 7e-05, 6e-05, 0.00055, 0.0, 5e-05, 6e-05, 0.00046, 0.0, 5e-05, 5e-05, 0.00047, 0.0, 4e-05, 3e-05, 0.00053, 0.0, 6e-05, 4e-05, 0.00056, 0.0, 5e-05, 3e-05, 0.00078, 0.0, 0.00011, 5e-05, 0.00125, 0.0, 0.00015, 0.00012, 0.00149, 0.0, 0.00034, 0.00023, 0.00232, 0.0, 0.00098, 0.00075, 0.00567, 0.0, 0.00416, 0.00465, 0.04021, 0.00564]\n",
      "loss: 0.001327  [  256/  391] grads: [0.00068, 0.0, 2e-05, 3e-05, 0.00019, 0.0, 2e-05, 2e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 9e-05, 5e-05, 0.00095, 0.0, 0.00045, 0.0002, 0.0021, 0.0, 0.00199, 0.00255, 0.02042, 0.00318]\n",
      "loss: 0.003135  [  288/  391] grads: [0.00047, 0.0, 3e-05, 0.00014, 0.00045, 0.0, 3e-05, 0.00013, 0.00045, 0.0, 3e-05, 0.0001, 0.00047, 0.0, 4e-05, 6e-05, 0.00059, 0.0, 6e-05, 4e-05, 0.00066, 0.0, 6e-05, 3e-05, 0.00073, 0.0, 7e-05, 4e-05, 0.00103, 0.0, 0.00017, 0.00012, 0.00144, 0.0, 0.00047, 0.00031, 0.00267, 0.0, 0.00156, 0.00112, 0.00935, 0.0, 0.007, 0.0106, 0.06811, 0.01339]\n",
      "loss: 0.001578  [  320/  391] grads: [0.00035, 0.0, 7e-05, 1e-05, 0.0004, 0.0, 4e-05, 1e-05, 0.00028, 0.0, 3e-05, 1e-05, 0.00031, 0.0, 3e-05, 1e-05, 0.00028, 0.0, 4e-05, 2e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00038, 0.0, 4e-05, 3e-05, 0.00059, 0.0, 7e-05, 4e-05, 0.00073, 0.0, 0.00015, 6e-05, 0.0013, 0.0, 0.00073, 0.00036, 0.00338, 0.0, 0.00299, 0.00406, 0.03618, 0.00507]\n",
      "loss: 0.001413  [  352/  391] grads: [0.00063, 0.0, 7e-05, 0.00013, 0.0005, 0.0, 4e-05, 0.00012, 0.00048, 0.0, 4e-05, 0.00012, 0.00046, 0.0, 7e-05, 8e-05, 0.00052, 0.0, 4e-05, 3e-05, 0.00049, 0.0, 4e-05, 2e-05, 0.00055, 0.0, 6e-05, 4e-05, 0.00078, 0.0, 0.00013, 0.0001, 0.00107, 0.0, 0.00036, 0.00025, 0.00208, 0.0, 0.00107, 0.00074, 0.00617, 0.0, 0.00426, 0.00604, 0.04244, 0.00768]\n",
      "loss: 0.000919  [  168/  391] grads: [0.00016, 0.0, 1e-05, 1e-05, 0.0002, 0.0, 1e-05, 1e-05, 0.00022, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00046, 0.0, 5e-05, 3e-05, 0.00064, 0.0, 7e-05, 3e-05, 0.00072, 0.0, 0.00016, 0.0001, 0.00104, 0.0, 0.00035, 0.00017, 0.00227, 0.0, 0.00114, 0.00114, 0.01288, 0.00116]\n",
      "Epoch 82\n",
      "-------------------------------\n",
      "loss: 0.001154  [    0/  391] grads: [0.00036, 0.0, 4e-05, 2e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 3e-05, 1e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00043, 0.0, 3e-05, 2e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00086, 0.0, 0.0001, 7e-05, 0.00111, 0.0, 0.00031, 0.0002, 0.00203, 0.0, 0.00088, 0.00065, 0.00481, 0.0, 0.00302, 0.00449, 0.03062, 0.00537]\n",
      "loss: 0.000997  [   32/  391] grads: [0.00037, 0.0, 1e-05, 3e-05, 0.00019, 0.0, 2e-05, 2e-05, 0.00022, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 4e-05, 2e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00049, 0.0, 6e-05, 4e-05, 0.0006, 0.0, 0.00017, 0.00011, 0.00106, 0.0, 0.00036, 0.00017, 0.00203, 0.0, 0.00214, 0.00426, 0.02412, 0.00589]\n",
      "loss: 0.002543  [   64/  391] grads: [0.00061, 0.0, 3e-05, 0.00011, 0.00035, 0.0, 2e-05, 9e-05, 0.0003, 0.0, 1e-05, 6e-05, 0.00028, 0.0, 2e-05, 4e-05, 0.0003, 0.0, 3e-05, 3e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 4e-05, 3e-05, 0.00056, 0.0, 0.0001, 7e-05, 0.00094, 0.0, 0.00023, 0.00012, 0.00242, 0.0, 0.00133, 0.0008, 0.0061, 0.0, 0.00597, 0.00846, 0.07154, 0.01151]\n",
      "loss: 0.001622  [   96/  391] grads: [0.001, 0.0, 6e-05, 6e-05, 0.00044, 0.0, 5e-05, 5e-05, 0.00041, 0.0, 9e-05, 8e-05, 0.00048, 0.0, 0.00011, 7e-05, 0.00054, 0.0, 8e-05, 3e-05, 0.00046, 0.0, 4e-05, 2e-05, 0.00059, 0.0, 8e-05, 5e-05, 0.00107, 0.0, 0.00011, 0.0001, 0.00142, 0.0, 0.00035, 0.00027, 0.00236, 0.0, 0.00147, 0.00112, 0.00785, 0.0, 0.00562, 0.0046, 0.0579, 0.00346]\n",
      "loss: 0.001004  [  128/  391] grads: [0.00041, 0.0, 1e-05, 2e-05, 0.00014, 0.0, 1e-05, 1e-05, 0.00015, 0.0, 2e-05, 1e-05, 0.00018, 0.0, 1e-05, 1e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00046, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 0.00018, 0.00012, 0.00104, 0.0, 0.00043, 0.00023, 0.00251, 0.0, 0.00184, 0.00123, 0.01919, 0.00086]\n",
      "loss: 0.000895  [  160/  391] grads: [0.00055, 0.0, 5e-05, 5e-05, 0.00031, 0.0, 5e-05, 3e-05, 0.00027, 0.0, 4e-05, 1e-05, 0.00027, 0.0, 3e-05, 1e-05, 0.0003, 0.0, 3e-05, 1e-05, 0.00026, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00067, 0.0, 9e-05, 5e-05, 0.00088, 0.0, 0.00013, 8e-05, 0.0012, 0.0, 0.00022, 0.00014, 0.00138, 0.0, 0.00086, 0.00163, 0.01222, 0.00202]\n",
      "loss: 0.001305  [  192/  391] grads: [0.00054, 0.0, 4e-05, 0.00014, 0.00046, 0.0, 4e-05, 0.0001, 0.00048, 0.0, 4e-05, 8e-05, 0.00044, 0.0, 5e-05, 5e-05, 0.00044, 0.0, 4e-05, 3e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00089, 0.0, 0.00012, 8e-05, 0.00131, 0.0, 0.00014, 6e-05, 0.00162, 0.0, 0.00056, 0.0006, 0.00349, 0.0, 0.00238, 0.00192, 0.02598, 0.00159]\n",
      "loss: 0.001469  [  224/  391] grads: [0.0006, 0.0, 6e-05, 8e-05, 0.00047, 0.0, 5e-05, 7e-05, 0.0004, 0.0, 7e-05, 7e-05, 0.00041, 0.0, 6e-05, 4e-05, 0.00041, 0.0, 5e-05, 3e-05, 0.0004, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 5e-05, 3e-05, 0.0007, 0.0, 9e-05, 8e-05, 0.00099, 0.0, 0.00015, 0.00013, 0.0014, 0.0, 0.00098, 0.00086, 0.00537, 0.0, 0.00403, 0.00286, 0.03815, 0.00183]\n",
      "loss: 0.001484  [  256/  391] grads: [0.00095, 0.0, 2e-05, 2e-05, 0.00018, 0.0, 1e-05, 2e-05, 0.00023, 0.0, 3e-05, 1e-05, 0.00024, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 4e-05, 2e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 6e-05, 5e-05, 0.00057, 0.0, 8e-05, 7e-05, 0.00099, 0.0, 0.0005, 0.00027, 0.00239, 0.0, 0.00254, 0.00331, 0.02536, 0.00404]\n",
      "loss: 0.003570  [  288/  391] grads: [0.00047, 0.0, 5e-05, 0.00015, 0.00056, 0.0, 5e-05, 0.00012, 0.00068, 0.0, 5e-05, 0.00011, 0.00054, 0.0, 5e-05, 6e-05, 0.00055, 0.0, 7e-05, 4e-05, 0.00058, 0.0, 5e-05, 2e-05, 0.00065, 0.0, 6e-05, 4e-05, 0.0011, 0.0, 0.00016, 0.00013, 0.00151, 0.0, 0.00044, 0.00029, 0.00285, 0.0, 0.00181, 0.00139, 0.0106, 0.0, 0.00773, 0.01189, 0.07341, 0.01477]\n",
      "loss: 0.001285  [  320/  391] grads: [0.00024, 0.0, 1e-05, 3e-05, 0.00018, 0.0, 1e-05, 2e-05, 0.00021, 0.0, 3e-05, 3e-05, 0.00024, 0.0, 2e-05, 2e-05, 0.00029, 0.0, 2e-05, 2e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 5e-05, 3e-05, 0.00061, 0.0, 7e-05, 4e-05, 0.00064, 0.0, 0.00013, 8e-05, 0.00122, 0.0, 0.00055, 0.00026, 0.00254, 0.0, 0.00241, 0.00316, 0.02593, 0.00376]\n",
      "loss: 0.001650  [  352/  391] grads: [0.0006, 0.0, 2e-05, 0.00011, 0.00032, 0.0, 3e-05, 9e-05, 0.00045, 0.0, 4e-05, 8e-05, 0.00047, 0.0, 5e-05, 5e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00049, 0.0, 3e-05, 2e-05, 0.00053, 0.0, 5e-05, 3e-05, 0.00079, 0.0, 0.0001, 9e-05, 0.00105, 0.0, 0.00035, 0.00023, 0.00224, 0.0, 0.00166, 0.00123, 0.00844, 0.0, 0.00539, 0.00631, 0.05429, 0.00732]\n",
      "loss: 0.001275  [  168/  391] grads: [0.00067, 0.0, 5e-05, 4e-05, 0.00039, 0.0, 3e-05, 3e-05, 0.00048, 0.0, 3e-05, 4e-05, 0.00048, 0.0, 3e-05, 3e-05, 0.00058, 0.0, 4e-05, 2e-05, 0.00059, 0.0, 4e-05, 3e-05, 0.00072, 0.0, 5e-05, 4e-05, 0.00103, 0.0, 0.0001, 7e-05, 0.00109, 0.0, 0.00025, 0.00016, 0.00181, 0.0, 0.00098, 0.00064, 0.00493, 0.0, 0.00261, 0.00284, 0.0266, 0.00301]\n",
      "Epoch 83\n",
      "-------------------------------\n",
      "loss: 0.001254  [    0/  391] grads: [0.00044, 0.0, 2e-05, 6e-05, 0.00024, 0.0, 1e-05, 5e-05, 0.00041, 0.0, 4e-05, 5e-05, 0.00043, 0.0, 4e-05, 4e-05, 0.00048, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 5e-05, 4e-05, 0.00104, 0.0, 0.0001, 8e-05, 0.00122, 0.0, 0.00028, 0.00019, 0.00207, 0.0, 0.00123, 0.00095, 0.00624, 0.0, 0.00363, 0.00497, 0.03657, 0.00591]\n",
      "loss: 0.001249  [   32/  391] grads: [0.00043, 0.0, 5e-05, 5e-05, 0.0003, 0.0, 3e-05, 3e-05, 0.00025, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 3e-05, 3e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00047, 0.0, 6e-05, 3e-05, 0.00071, 0.0, 0.00011, 8e-05, 0.00098, 0.0, 0.00029, 0.00017, 0.00187, 0.0, 0.00063, 0.00031, 0.00385, 0.0, 0.00282, 0.00539, 0.02877, 0.00755]\n",
      "loss: 0.002161  [   64/  391] grads: [0.00109, 0.0, 5e-05, 3e-05, 0.00036, 0.0, 4e-05, 2e-05, 0.00037, 0.0, 5e-05, 2e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 7e-05, 4e-05, 0.00046, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 6e-05, 4e-05, 0.00082, 0.0, 0.00013, 0.0001, 0.00115, 0.0, 0.0003, 0.0002, 0.00219, 0.0, 0.00083, 0.0003, 0.00378, 0.0, 0.00475, 0.00889, 0.05348, 0.01211]\n",
      "loss: 0.001224  [   96/  391] grads: [0.00066, 0.0, 6e-05, 4e-05, 0.00038, 0.0, 4e-05, 3e-05, 0.00031, 0.0, 4e-05, 2e-05, 0.00031, 0.0, 3e-05, 2e-05, 0.0003, 0.0, 5e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00042, 0.0, 3e-05, 3e-05, 0.00067, 0.0, 7e-05, 7e-05, 0.00085, 0.0, 0.00014, 0.00012, 0.00127, 0.0, 0.00105, 0.00083, 0.00529, 0.0, 0.00347, 0.00275, 0.0343, 0.0019]\n",
      "loss: 0.000997  [  128/  391] grads: [0.00027, 0.0, 2e-05, 2e-05, 0.00017, 0.0, 1e-05, 1e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.00024, 0.0, 2e-05, 1e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 6e-05, 4e-05, 0.00063, 0.0, 0.00016, 0.0001, 0.00116, 0.0, 0.00047, 0.00024, 0.00266, 0.0, 0.00174, 0.00109, 0.01726, 0.00034]\n",
      "loss: 0.000778  [  160/  391] grads: [0.00043, 0.0, 1e-05, 3e-05, 0.00019, 0.0, 1e-05, 2e-05, 0.00022, 0.0, 1e-05, 2e-05, 0.00021, 0.0, 2e-05, 2e-05, 0.00025, 0.0, 3e-05, 2e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 4e-05, 2e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00059, 0.0, 0.00014, 0.00011, 0.00099, 0.0, 0.00037, 0.00026, 0.00196, 0.0, 0.00145, 0.00226, 0.01537, 0.00272]\n",
      "loss: 0.001329  [  192/  391] grads: [0.0004, 0.0, 5e-05, 9e-05, 0.00036, 0.0, 3e-05, 6e-05, 0.00035, 0.0, 3e-05, 4e-05, 0.00032, 0.0, 4e-05, 3e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00028, 0.0, 2e-05, 2e-05, 0.00035, 0.0, 4e-05, 3e-05, 0.00061, 0.0, 6e-05, 5e-05, 0.00068, 0.0, 0.00016, 9e-05, 0.00113, 0.0, 0.00057, 0.00054, 0.00333, 0.0, 0.00252, 0.002, 0.02446, 0.0019]\n",
      "loss: 0.001514  [  224/  391] grads: [0.00065, 0.0, 8e-05, 0.00012, 0.00058, 0.0, 5e-05, 9e-05, 0.00042, 0.0, 6e-05, 8e-05, 0.00035, 0.0, 6e-05, 5e-05, 0.00036, 0.0, 5e-05, 3e-05, 0.00041, 0.0, 4e-05, 2e-05, 0.00049, 0.0, 5e-05, 3e-05, 0.00076, 0.0, 9e-05, 7e-05, 0.00094, 0.0, 0.00015, 0.00014, 0.00145, 0.0, 0.00113, 0.00101, 0.00612, 0.0, 0.00473, 0.00387, 0.0453, 0.00335]\n",
      "loss: 0.001268  [  256/  391] grads: [0.00035, 0.0, 2e-05, 2e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.0003, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 4e-05, 2e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 2e-05, 2e-05, 0.00043, 0.0, 4e-05, 2e-05, 0.00066, 0.0, 7e-05, 4e-05, 0.0007, 0.0, 5e-05, 4e-05, 0.00095, 0.0, 0.00037, 0.00026, 0.00283, 0.0, 0.00189, 0.00209, 0.0188, 0.00267]\n",
      "loss: 0.006397  [  288/  391] grads: [0.00222, 0.0, 0.00027, 6e-05, 0.00151, 0.0, 0.00015, 9e-05, 0.00099, 0.0, 0.00013, 7e-05, 0.00089, 0.0, 8e-05, 7e-05, 0.00104, 0.0, 0.00017, 8e-05, 0.00095, 0.0, 8e-05, 4e-05, 0.00101, 0.0, 0.0001, 0.0001, 0.00165, 0.0, 0.00024, 0.0002, 0.00212, 0.0, 0.00071, 0.00051, 0.00443, 0.0, 0.00264, 0.00216, 0.01491, 0.0, 0.01116, 0.019, 0.10807, 0.02353]\n",
      "loss: 0.001375  [  320/  391] grads: [0.00028, 0.0, 6e-05, 2e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00024, 0.0, 5e-05, 2e-05, 0.00028, 0.0, 3e-05, 1e-05, 0.00027, 0.0, 3e-05, 1e-05, 0.00029, 0.0, 3e-05, 1e-05, 0.00039, 0.0, 5e-05, 2e-05, 0.00068, 0.0, 0.00011, 5e-05, 0.00083, 0.0, 0.00024, 0.00012, 0.00171, 0.0, 0.00084, 0.00037, 0.00424, 0.0, 0.00285, 0.00295, 0.03496, 0.00296]\n",
      "loss: 0.001938  [  352/  391] grads: [0.00025, 0.0, 9e-05, 0.0001, 0.0006, 0.0, 5e-05, 9e-05, 0.00046, 0.0, 2e-05, 8e-05, 0.00045, 0.0, 3e-05, 6e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.00042, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 8e-05, 4e-05, 0.00097, 0.0, 0.00018, 0.00012, 0.00157, 0.0, 0.00057, 0.00038, 0.00318, 0.0, 0.00138, 0.00085, 0.00877, 0.0, 0.00614, 0.00821, 0.06052, 0.01091]\n",
      "loss: 0.000911  [  168/  391] grads: [0.00053, 0.0, 6e-05, 2e-05, 0.00044, 0.0, 4e-05, 4e-05, 0.00041, 0.0, 4e-05, 3e-05, 0.00043, 0.0, 3e-05, 3e-05, 0.00047, 0.0, 5e-05, 3e-05, 0.00054, 0.0, 3e-05, 3e-05, 0.00058, 0.0, 4e-05, 3e-05, 0.00075, 0.0, 7e-05, 5e-05, 0.0008, 0.0, 0.0001, 0.0001, 0.00089, 0.0, 0.00018, 0.0001, 0.00164, 0.0, 0.00176, 0.00293, 0.01832, 0.00391]\n",
      "Epoch 84\n",
      "-------------------------------\n",
      "loss: 0.000877  [    0/  391] grads: [0.00023, 0.0, 2e-05, 7e-05, 0.0003, 0.0, 3e-05, 6e-05, 0.00037, 0.0, 4e-05, 6e-05, 0.00036, 0.0, 5e-05, 4e-05, 0.00035, 0.0, 4e-05, 2e-05, 0.00034, 0.0, 2e-05, 2e-05, 0.00039, 0.0, 4e-05, 3e-05, 0.00067, 0.0, 6e-05, 5e-05, 0.00073, 0.0, 0.00013, 0.00011, 0.00096, 0.0, 0.00047, 0.00038, 0.00289, 0.0, 0.00252, 0.0036, 0.02522, 0.00468]\n",
      "loss: 0.000966  [   32/  391] grads: [0.00024, 0.0, 1e-05, 2e-05, 0.00023, 0.0, 1e-05, 2e-05, 0.00024, 0.0, 1e-05, 1e-05, 0.00026, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.00064, 0.0, 0.00011, 8e-05, 0.00095, 0.0, 0.00046, 0.00025, 0.00216, 0.0, 0.00214, 0.00346, 0.02578, 0.00459]\n",
      "loss: 0.001389  [   64/  391] grads: [0.00084, 0.0, 5e-05, 3e-05, 0.0004, 0.0, 4e-05, 3e-05, 0.00034, 0.0, 5e-05, 3e-05, 0.00035, 0.0, 7e-05, 4e-05, 0.00039, 0.0, 6e-05, 3e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00042, 0.0, 5e-05, 3e-05, 0.00066, 0.0, 0.0001, 7e-05, 0.00083, 0.0, 0.00017, 0.00012, 0.0013, 0.0, 0.00052, 0.0003, 0.00283, 0.0, 0.00324, 0.00609, 0.03422, 0.00806]\n",
      "loss: 0.001550  [   96/  391] grads: [0.00046, 0.0, 4e-05, 0.00016, 0.00052, 0.0, 4e-05, 0.00012, 0.00069, 0.0, 7e-05, 0.00013, 0.00058, 0.0, 0.0001, 9e-05, 0.00056, 0.0, 6e-05, 4e-05, 0.00052, 0.0, 4e-05, 2e-05, 0.00058, 0.0, 6e-05, 4e-05, 0.00097, 0.0, 0.00011, 9e-05, 0.00124, 0.0, 0.00027, 0.00024, 0.00189, 0.0, 0.00108, 0.00088, 0.00612, 0.0, 0.00494, 0.00423, 0.04856, 0.00373]\n",
      "loss: 0.000888  [  128/  391] grads: [0.00014, 0.0, 3e-05, 4e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00041, 0.0, 3e-05, 2e-05, 0.00035, 0.0, 2e-05, 1e-05, 0.00031, 0.0, 2e-05, 1e-05, 0.00032, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.00064, 0.0, 6e-05, 3e-05, 0.00064, 0.0, 0.0001, 4e-05, 0.00072, 0.0, 0.00018, 0.00014, 0.00156, 0.0, 0.00128, 0.0018, 0.01291, 0.00242]\n",
      "loss: 0.000744  [  160/  391] grads: [0.00027, 0.0, 2e-05, 1e-05, 0.00022, 0.0, 1e-05, 1e-05, 0.00024, 0.0, 2e-05, 1e-05, 0.00027, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00036, 0.0, 3e-05, 2e-05, 0.00054, 0.0, 5e-05, 3e-05, 0.00054, 0.0, 7e-05, 4e-05, 0.00058, 0.0, 0.00022, 0.00012, 0.00129, 0.0, 0.00094, 0.00122, 0.00997, 0.00144]\n",
      "loss: 0.001070  [  192/  391] grads: [0.00028, 0.0, 6e-05, 0.00011, 0.00042, 0.0, 5e-05, 9e-05, 0.00034, 0.0, 5e-05, 7e-05, 0.00033, 0.0, 6e-05, 5e-05, 0.00034, 0.0, 3e-05, 3e-05, 0.00037, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.00063, 0.0, 7e-05, 5e-05, 0.00067, 0.0, 8e-05, 8e-05, 0.00092, 0.0, 0.00052, 0.00048, 0.00292, 0.0, 0.00219, 0.00158, 0.02117, 0.00103]\n",
      "loss: 0.002346  [  224/  391] grads: [0.00093, 0.0, 8e-05, 0.00021, 0.00073, 0.0, 5e-05, 0.00014, 0.00074, 0.0, 9e-05, 0.00014, 0.00071, 0.0, 0.00016, 0.00013, 0.00085, 0.0, 8e-05, 4e-05, 0.00073, 0.0, 5e-05, 3e-05, 0.00087, 0.0, 9e-05, 6e-05, 0.00127, 0.0, 0.00019, 0.00014, 0.00165, 0.0, 0.00045, 0.00035, 0.00293, 0.0, 0.00178, 0.00136, 0.01, 0.0, 0.00754, 0.00795, 0.07277, 0.00882]\n",
      "loss: 0.001594  [  256/  391] grads: [0.00026, 0.0, 1e-05, 2e-05, 0.00021, 0.0, 1e-05, 1e-05, 0.00021, 0.0, 1e-05, 1e-05, 0.00027, 0.0, 2e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00045, 0.0, 4e-05, 3e-05, 0.00057, 0.0, 6e-05, 4e-05, 0.00068, 0.0, 0.00014, 9e-05, 0.00129, 0.0, 0.0007, 0.00042, 0.00356, 0.0, 0.00283, 0.00185, 0.0283, 0.0012]\n",
      "loss: 0.004772  [  288/  391] grads: [0.00044, 0.0, 0.00016, 0.00024, 0.00103, 0.0, 9e-05, 0.00018, 0.00094, 0.0, 5e-05, 0.00018, 0.001, 0.0, 0.00013, 0.00016, 0.00109, 0.0, 7e-05, 5e-05, 0.001, 0.0, 8e-05, 5e-05, 0.00109, 0.0, 0.00011, 6e-05, 0.00156, 0.0, 0.00026, 0.00017, 0.00211, 0.0, 0.00061, 0.00043, 0.00379, 0.0, 0.00236, 0.00171, 0.01401, 0.0, 0.0106, 0.01371, 0.10247, 0.0165]\n",
      "loss: 0.001048  [  320/  391] grads: [0.00043, 0.0, 4e-05, 1e-05, 0.00027, 0.0, 3e-05, 1e-05, 0.00025, 0.0, 3e-05, 1e-05, 0.00024, 0.0, 3e-05, 1e-05, 0.00025, 0.0, 3e-05, 2e-05, 0.00028, 0.0, 2e-05, 1e-05, 0.00034, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 5e-05, 3e-05, 0.00059, 0.0, 0.00011, 5e-05, 0.00101, 0.0, 0.00051, 0.00019, 0.00216, 0.0, 0.00203, 0.00305, 0.02509, 0.00382]\n",
      "loss: 0.001737  [  352/  391] grads: [0.00031, 0.0, 3e-05, 6e-05, 0.0003, 0.0, 2e-05, 6e-05, 0.00039, 0.0, 3e-05, 6e-05, 0.00044, 0.0, 4e-05, 4e-05, 0.0005, 0.0, 6e-05, 3e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00069, 0.0, 7e-05, 5e-05, 0.00107, 0.0, 0.00012, 0.0001, 0.00128, 0.0, 0.00041, 0.00028, 0.00251, 0.0, 0.00138, 0.00105, 0.0075, 0.0, 0.00491, 0.00744, 0.04889, 0.00889]\n",
      "loss: 0.000851  [  168/  391] grads: [0.00058, 0.0, 4e-05, 6e-05, 0.00029, 0.0, 3e-05, 4e-05, 0.00028, 0.0, 1e-05, 4e-05, 0.00029, 0.0, 2e-05, 3e-05, 0.00029, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 2e-05, 1e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.00054, 0.0, 7e-05, 4e-05, 0.00061, 0.0, 0.00015, 9e-05, 0.00092, 0.0, 0.00042, 0.00027, 0.00247, 0.0, 0.0016, 0.00268, 0.01582, 0.00355]\n",
      "Epoch 85\n",
      "-------------------------------\n",
      "loss: 0.000985  [    0/  391] grads: [0.00107, 0.0, 2e-05, 8e-05, 0.00024, 0.0, 2e-05, 7e-05, 0.00026, 0.0, 2e-05, 6e-05, 0.00028, 0.0, 4e-05, 4e-05, 0.00033, 0.0, 3e-05, 2e-05, 0.00033, 0.0, 3e-05, 1e-05, 0.00039, 0.0, 4e-05, 2e-05, 0.0005, 0.0, 7e-05, 6e-05, 0.00057, 0.0, 0.00016, 0.00013, 0.00097, 0.0, 0.00048, 0.00038, 0.0028, 0.0, 0.00253, 0.00426, 0.02578, 0.0055]\n",
      "loss: 0.001176  [   32/  391] grads: [0.00033, 0.0, 7e-05, 7e-05, 0.00044, 0.0, 6e-05, 7e-05, 0.00044, 0.0, 6e-05, 6e-05, 0.00045, 0.0, 6e-05, 4e-05, 0.00053, 0.0, 7e-05, 4e-05, 0.00057, 0.0, 4e-05, 2e-05, 0.00062, 0.0, 5e-05, 3e-05, 0.00082, 0.0, 0.0001, 8e-05, 0.00092, 0.0, 0.00016, 0.00015, 0.00136, 0.0, 0.00048, 0.00033, 0.00291, 0.0, 0.00362, 0.00651, 0.03886, 0.00866]\n",
      "loss: 0.001448  [   64/  391] grads: [0.00053, 0.0, 6e-05, 3e-05, 0.00034, 0.0, 5e-05, 2e-05, 0.00024, 0.0, 3e-05, 2e-05, 0.00023, 0.0, 3e-05, 1e-05, 0.00027, 0.0, 4e-05, 2e-05, 0.00032, 0.0, 3e-05, 1e-05, 0.00037, 0.0, 4e-05, 2e-05, 0.00054, 0.0, 8e-05, 5e-05, 0.0007, 0.0, 0.00011, 6e-05, 0.00121, 0.0, 0.00053, 0.0002, 0.0026, 0.0, 0.00314, 0.00539, 0.0356, 0.00724]\n",
      "loss: 0.002554  [   96/  391] grads: [0.00171, 0.0, 0.0001, 0.00013, 0.00074, 0.0, 8e-05, 0.00011, 0.00076, 0.0, 8e-05, 0.0001, 0.00072, 0.0, 8e-05, 7e-05, 0.00091, 0.0, 0.00014, 8e-05, 0.00102, 0.0, 7e-05, 5e-05, 0.00106, 0.0, 0.0001, 6e-05, 0.00149, 0.0, 0.00021, 0.00017, 0.00205, 0.0, 0.00043, 0.0004, 0.00331, 0.0, 0.00207, 0.00154, 0.01096, 0.0, 0.00851, 0.00569, 0.08577, 0.00157]\n",
      "loss: 0.001076  [  128/  391] grads: [0.00124, 0.0, 6e-05, 6e-05, 0.00045, 0.0, 5e-05, 4e-05, 0.0004, 0.0, 6e-05, 5e-05, 0.0004, 0.0, 6e-05, 4e-05, 0.00045, 0.0, 5e-05, 2e-05, 0.00045, 0.0, 3e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00078, 0.0, 8e-05, 7e-05, 0.00087, 0.0, 0.00019, 0.00017, 0.00131, 0.0, 0.00057, 0.00046, 0.00335, 0.0, 0.00242, 0.00205, 0.02545, 0.00165]\n",
      "loss: 0.000856  [  160/  391] grads: [0.00049, 0.0, 4e-05, 3e-05, 0.00025, 0.0, 3e-05, 1e-05, 0.00019, 0.0, 4e-05, 1e-05, 0.0002, 0.0, 4e-05, 1e-05, 0.00023, 0.0, 3e-05, 2e-05, 0.00025, 0.0, 2e-05, 1e-05, 0.0003, 0.0, 3e-05, 2e-05, 0.0004, 0.0, 5e-05, 4e-05, 0.00046, 0.0, 0.00011, 9e-05, 0.00067, 0.0, 0.00022, 0.00014, 0.00116, 0.0, 0.00171, 0.00333, 0.01976, 0.00417]\n",
      "loss: 0.001291  [  192/  391] grads: [0.00031, 0.0, 7e-05, 6e-05, 0.00047, 0.0, 6e-05, 6e-05, 0.00039, 0.0, 6e-05, 5e-05, 0.0004, 0.0, 5e-05, 4e-05, 0.00042, 0.0, 5e-05, 2e-05, 0.00045, 0.0, 4e-05, 2e-05, 0.00052, 0.0, 5e-05, 3e-05, 0.00073, 0.0, 8e-05, 6e-05, 0.0008, 0.0, 0.00014, 0.00011, 0.00117, 0.0, 0.00062, 0.00059, 0.00362, 0.0, 0.0025, 0.00184, 0.02461, 0.00107]\n",
      "loss: 0.001447  [  224/  391] grads: [0.00078, 0.0, 9e-05, 9e-05, 0.0006, 0.0, 8e-05, 9e-05, 0.00057, 0.0, 8e-05, 8e-05, 0.0005, 0.0, 8e-05, 6e-05, 0.00048, 0.0, 7e-05, 3e-05, 0.0005, 0.0, 3e-05, 2e-05, 0.00057, 0.0, 6e-05, 4e-05, 0.00085, 0.0, 0.00011, 0.0001, 0.00113, 0.0, 0.00022, 0.00019, 0.00169, 0.0, 0.00108, 0.00093, 0.00596, 0.0, 0.00483, 0.00451, 0.04638, 0.00449]\n",
      "loss: 0.001603  [  256/  391] grads: [0.00025, 0.0, 1e-05, 1e-05, 0.00012, 0.0, 1e-05, 1e-05, 0.00019, 0.0, 2e-05, 1e-05, 0.00023, 0.0, 2e-05, 1e-05, 0.00028, 0.0, 3e-05, 2e-05, 0.00032, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 5e-05, 3e-05, 0.00069, 0.0, 0.0001, 7e-05, 0.00091, 0.0, 0.00028, 0.00018, 0.00209, 0.0, 0.00126, 0.00089, 0.00671, 0.0, 0.00375, 0.00322, 0.03658, 0.00246]\n",
      "loss: 0.004251  [  288/  391] grads: [0.0005, 0.0, 4e-05, 0.00022, 0.00064, 0.0, 6e-05, 0.00019, 0.0007, 0.0, 6e-05, 0.00015, 0.00075, 0.0, 7e-05, 8e-05, 0.00086, 0.0, 0.00011, 5e-05, 0.00082, 0.0, 6e-05, 3e-05, 0.00092, 0.0, 9e-05, 7e-05, 0.00138, 0.0, 0.00019, 0.00014, 0.00176, 0.0, 0.00055, 0.00037, 0.0034, 0.0, 0.00218, 0.00177, 0.01173, 0.0, 0.00877, 0.014, 0.08595, 0.01705]\n",
      "loss: 0.001327  [  320/  391] grads: [0.00053, 0.0, 8e-05, 3e-05, 0.00049, 0.0, 6e-05, 3e-05, 0.00045, 0.0, 5e-05, 2e-05, 0.00041, 0.0, 5e-05, 2e-05, 0.00038, 0.0, 5e-05, 3e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 5e-05, 2e-05, 0.00063, 0.0, 0.0001, 5e-05, 0.00088, 0.0, 0.00021, 9e-05, 0.00184, 0.0, 0.00076, 0.00029, 0.00366, 0.0, 0.00264, 0.00366, 0.03447, 0.00438]\n",
      "loss: 0.001987  [  352/  391] grads: [0.00032, 0.0, 4e-05, 5e-05, 0.00028, 0.0, 3e-05, 4e-05, 0.00033, 0.0, 3e-05, 4e-05, 0.00034, 0.0, 3e-05, 2e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00044, 0.0, 4e-05, 2e-05, 0.00057, 0.0, 7e-05, 4e-05, 0.00091, 0.0, 0.00014, 9e-05, 0.00126, 0.0, 0.00046, 0.00029, 0.00294, 0.0, 0.00198, 0.0014, 0.0101, 0.0, 0.00559, 0.00747, 0.05679, 0.0088]\n",
      "loss: 0.001192  [  168/  391] grads: [0.00027, 0.0, 2e-05, 8e-05, 0.00032, 0.0, 2e-05, 7e-05, 0.00036, 0.0, 2e-05, 6e-05, 0.00055, 0.0, 5e-05, 4e-05, 0.00075, 0.0, 8e-05, 5e-05, 0.00071, 0.0, 6e-05, 3e-05, 0.00069, 0.0, 7e-05, 4e-05, 0.00085, 0.0, 0.00011, 8e-05, 0.00098, 0.0, 0.00018, 0.00013, 0.00133, 0.0, 0.00071, 0.00054, 0.00426, 0.0, 0.00353, 0.00558, 0.03532, 0.00747]\n",
      "Epoch 86\n",
      "-------------------------------\n",
      "loss: 0.000920  [    0/  391] grads: [0.00022, 0.0, 2e-05, 4e-05, 0.00022, 0.0, 2e-05, 4e-05, 0.00024, 0.0, 2e-05, 3e-05, 0.00023, 0.0, 2e-05, 2e-05, 0.00028, 0.0, 5e-05, 3e-05, 0.00033, 0.0, 2e-05, 2e-05, 0.00037, 0.0, 3e-05, 3e-05, 0.0005, 0.0, 7e-05, 5e-05, 0.00063, 0.0, 0.00012, 0.00011, 0.00091, 0.0, 0.00035, 0.00024, 0.00184, 0.0, 0.00223, 0.00407, 0.02433, 0.00553]\n",
      "loss: 0.001088  [   32/  391] grads: [0.00044, 0.0, 4e-05, 5e-05, 0.00028, 0.0, 4e-05, 5e-05, 0.00039, 0.0, 4e-05, 4e-05, 0.00034, 0.0, 5e-05, 2e-05, 0.00035, 0.0, 5e-05, 3e-05, 0.00035, 0.0, 3e-05, 2e-05, 0.00043, 0.0, 4e-05, 3e-05, 0.00065, 0.0, 8e-05, 6e-05, 0.00083, 0.0, 0.00013, 0.00013, 0.00122, 0.0, 0.0004, 0.00021, 0.00215, 0.0, 0.00286, 0.00545, 0.03328, 0.00724]\n",
      "loss: 0.003621  [   64/  391] grads: [0.00251, 0.0, 0.0004, 0.00046, 0.00232, 0.0, 0.00023, 0.00034, 0.00176, 0.0, 0.00019, 0.000