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exotikh3/train-tts.ipynb

Created July 1, 2021 20:42
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Train TTS
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train-tts.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"accelerator": "GPU",
"colab": {
"name": "Train TTS",
"provenance": [],
"mount_file_id": "17-ztS0mcQ_yvf32NQwhEzRalP_OXSFx6",
"authorship_tag": "ABX9TyOh4zSS3nu7VXX+2sIXXOdF",
"include_colab_link": true
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/exotikh3/740324a9b36f41f1f816260d252d6b58/train-tts.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "eapgrMzGb6se",
"outputId": "9713acc1-6a7d-48ef-a941-f0106d8a9929"
},
"source": [
"!git clone https://github.com/coqui-ai/TTS"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
"Cloning into 'TTS'...\n",
"remote: Enumerating objects: 18264, done.\u001b[K\n",
"remote: Counting objects: 100% (83/83), done.\u001b[K\n",
"remote: Compressing objects: 100% (65/65), done.\u001b[K\n",
"remote: Total 18264 (delta 23), reused 45 (delta 15), pack-reused 18181\u001b[K\n",
"Receiving objects: 100% (18264/18264), 126.51 MiB | 32.85 MiB/s, done.\n",
"Resolving deltas: 100% (13088/13088), done.\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "LWQOzxozyPJG",
"outputId": "395a1f0d-5ceb-43c1-d77f-aae76815a36f"
},
"source": [
"%cd ./TTS"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"/content/TTS\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "2CxPHkOhdxbI",
"outputId": "f0d222b3-7961-43ba-83cc-d4bdc3e68edb"
},
"source": [
"!pip install -e .[all,dev,notebooks,tf]"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"Obtaining file:///content/TTS\n",
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
"Collecting numpy==1.18.5\n",
" Using cached https://files.pythonhosted.org/packages/d6/c6/58e517e8b1fb192725cfa23c01c2e60e4e6699314ee9684a1c5f5c9b27e1/numpy-1.18.5-cp37-cp37m-manylinux1_x86_64.whl\n",
"Requirement already satisfied: jieba in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (0.42.1)\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (1.1.5)\n",
"Requirement already satisfied: soundfile in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (0.10.3.post1)\n",
"Collecting anyascii\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/a3/14/666cd44bf53f36a961544af592cb5c5c800013f9c51a4745af8d7c17362a/anyascii-0.2.0-py3-none-any.whl (283kB)\n",
"\u001b[K |████████████████████████████████| 286kB 26.3MB/s \n",
"\u001b[?25hRequirement already satisfied: gdown in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (3.6.4)\n",
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"Requirement already satisfied: flask in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (1.1.4)\n",
"Requirement already satisfied: inflect in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (2.1.0)\n",
"Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (3.2.2)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (4.41.1)\n",
"Collecting mecab-python3==1.0.3\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/c1/72/20f8f60b858556fdff6c0376b480c230e594621fff8be780603ac9c47f6a/mecab_python3-1.0.3-cp37-cp37m-manylinux1_x86_64.whl (487kB)\n",
"\u001b[K |████████████████████████████████| 491kB 39.2MB/s \n",
"\u001b[?25hCollecting tensorboardX\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/99/0b/a26bbe92667c549d39c40b80c5ddec638fbae9521f04aeef26560e07e504/tensorboardX-2.4-py2.py3-none-any.whl (124kB)\n",
"\u001b[K |████████████████████████████████| 133kB 54.9MB/s \n",
"\u001b[?25hRequirement already satisfied: torch>=1.7 in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (1.9.0+cu102)\n",
"Requirement already satisfied: scipy>=0.19.0 in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (1.4.1)\n",
"Collecting numba==0.52\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/7c/ae/207305b9f2e7468fc9d46d5277d84b758bdee70debdbed9f3ac9c978ca9f/numba-0.52.0-cp37-cp37m-manylinux2014_x86_64.whl (3.2MB)\n",
"\u001b[K |████████████████████████████████| 3.2MB 45.8MB/s \n",
"\u001b[?25hCollecting librosa==0.8.0\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/26/4d/c22d8ca74ca2c13cd4ac430fa353954886104321877b65fa871939e78591/librosa-0.8.0.tar.gz (183kB)\n",
"\u001b[K |████████████████████████████████| 184kB 53.8MB/s \n",
"\u001b[?25hCollecting coqpit\n",
" Downloading https://files.pythonhosted.org/packages/73/b1/13b6c6a7b0f006f75c99af204ca26949a3c8f9494aea1358bbd262b19fdd/coqpit-0.0.10.tar.gz\n",
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
"Collecting pysbd\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/48/0a/c99fb7d7e176f8b176ef19704a32e6a9c6aafdf19ef75a187f701fc15801/pysbd-0.3.4-py3-none-any.whl (71kB)\n",
"\u001b[K |████████████████████████████████| 71kB 10.2MB/s \n",
"\u001b[?25hRequirement already satisfied: pyyaml in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (3.13)\n",
"Collecting unidic-lite==1.0.8\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/55/2b/8cf7514cb57d028abcef625afa847d60ff1ffbf0049c36b78faa7c35046f/unidic-lite-1.0.8.tar.gz (47.4MB)\n",
"\u001b[K |████████████████████████████████| 47.4MB 64kB/s \n",
"\u001b[?25hCollecting umap-learn==0.4.6\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/ac/21/e1eb2eb1c624a84f4a23237adb974e94ff7371ee8c178d246194af83fb80/umap-learn-0.4.6.tar.gz (69kB)\n",
"\u001b[K |████████████████████████████████| 71kB 9.4MB/s \n",
"\u001b[?25hCollecting pypinyin\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/86/9c/77913020ee8cf263a519d9ac5da344af6a338bc49ed3fd1e302d592cc457/pypinyin-0.42.0-py2.py3-none-any.whl (1.3MB)\n",
"\u001b[K |████████████████████████████████| 1.3MB 48.3MB/s \n",
"\u001b[?25hCollecting isort; extra == \"all\"\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/b3/3f/4e39910865572d2ff209e601d9c1d15180ef1b735538a0c7bc2d15b63ac6/isort-5.9.1-py3-none-any.whl (105kB)\n",
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"\u001b[?25hCollecting black; extra == \"all\"\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/91/d0/154973fbb48aeda17cd117507872079de82408bb16f6f2ead3d05be68bd6/black-21.6b0-py3-none-any.whl (140kB)\n",
"\u001b[K |████████████████████████████████| 143kB 57.4MB/s \n",
"\u001b[?25hCollecting tensorflow==2.3.1; extra == \"all\"\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/eb/18/374af421dfbe74379a458e58ab40cf46b35c3206ce8e183e28c1c627494d/tensorflow-2.3.1-cp37-cp37m-manylinux2010_x86_64.whl (320.4MB)\n",
"\u001b[K |████████████████████████████████| 320.4MB 53kB/s \n",
"\u001b[?25hCollecting bokeh==1.4.0; extra == \"all\"\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/de/70/fdd4b186d8570a737372487cc5547aac885a1270626e3ebf03db1808e4ed/bokeh-1.4.0.tar.gz (32.4MB)\n",
"\u001b[K |████████████████████████████████| 32.4MB 103kB/s \n",
"\u001b[?25hCollecting nose; extra == \"all\"\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/15/d8/dd071918c040f50fa1cf80da16423af51ff8ce4a0f2399b7bf8de45ac3d9/nose-1.3.7-py3-none-any.whl (154kB)\n",
"\u001b[K |████████████████████████████████| 163kB 52.0MB/s \n",
"\u001b[?25hRequirement already satisfied: coverage; extra == \"all\" in /usr/local/lib/python3.7/dist-packages (from TTS==0.0.15.1) (3.7.1)\n",
"Collecting pylint==2.8.3; extra == \"all\"\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/b2/97/a584ca733493cba7baca670800e615ced77c7b22e663e2eed6f68c931b87/pylint-2.8.3-py3-none-any.whl (357kB)\n",
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"\u001b[?25hRequirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas->TTS==0.0.15.1) (2018.9)\n",
"Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas->TTS==0.0.15.1) (2.8.1)\n",
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"Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from gdown->TTS==0.0.15.1) (1.15.0)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from gdown->TTS==0.0.15.1) (2.23.0)\n",
"Requirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from flask->TTS==0.0.15.1) (1.1.0)\n",
"Requirement already satisfied: click<8.0,>=5.1 in /usr/local/lib/python3.7/dist-packages (from flask->TTS==0.0.15.1) (7.1.2)\n",
"Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from flask->TTS==0.0.15.1) (2.11.3)\n",
"Requirement already satisfied: Werkzeug<2.0,>=0.15 in /usr/local/lib/python3.7/dist-packages (from flask->TTS==0.0.15.1) (1.0.1)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->TTS==0.0.15.1) (1.3.1)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->TTS==0.0.15.1) (0.10.0)\n",
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"Requirement already satisfied: protobuf>=3.8.0 in /usr/local/lib/python3.7/dist-packages (from tensorboardX->TTS==0.0.15.1) (3.12.4)\n",
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"Collecting llvmlite<0.36,>=0.35.0\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/d0/9e/3b6283c1c074bedc96df7741b04d3c2def90dc7f4e99442e127676c953ec/llvmlite-0.35.0-cp37-cp37m-manylinux2010_x86_64.whl (25.3MB)\n",
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" Downloading https://files.pythonhosted.org/packages/29/29/a465741a3d97ea3c17d21eaad4c64205428bde56742360876c4391f930d4/pathspec-0.8.1-py2.py3-none-any.whl\n",
"Collecting typed-ast>=1.4.2; python_version < \"3.8\"\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/65/b3/573d2f1fecbbe8f82a8d08172e938c247f99abe1be3bef3da2efaa3810bf/typed_ast-1.4.3-cp37-cp37m-manylinux1_x86_64.whl (743kB)\n",
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/c4/28/5f08d8841013ccf72cd95dfff2500fe7fb39467af12c5e7b802d8381d811/regex-2021.4.4-cp37-cp37m-manylinux2014_x86_64.whl (720kB)\n",
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/e9/ed/5853ec0ae380cba4588eab1524e18ece1583b65f7ae0e97321f5ff9dfd60/tensorflow_estimator-2.3.0-py2.py3-none-any.whl (459kB)\n",
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" Downloading https://files.pythonhosted.org/packages/d6/84/759f5dd23fec8ba71952d97bcc7e2c9d7d63bdc582421f3cd4be845f0c98/gast-0.3.3-py2.py3-none-any.whl\n",
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" Downloading https://files.pythonhosted.org/packages/87/89/479dc97e18549e21354893e4ee4ef36db1d237534982482c3681ee6e7b57/mccabe-0.6.1-py2.py3-none-any.whl\n",
"Collecting astroid==2.5.6\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/f8/82/a61df6c2d68f3ae3ad1afa0d2e5ba5cfb7386eb80cffb453def7c5757271/astroid-2.5.6-py3-none-any.whl (219kB)\n",
"\u001b[K |████████████████████████████████| 225kB 52.3MB/s \n",
"\u001b[?25hRequirement already satisfied: pycparser in /usr/local/lib/python3.7/dist-packages (from cffi>=1.0->soundfile->TTS==0.0.15.1) (2.20)\n",
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"Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2<3.0,>=2.10.1->flask->TTS==0.0.15.1) (2.0.1)\n",
"Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (0.6.1)\n",
"Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (1.31.0)\n",
"Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (3.3.4)\n",
"Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (1.8.0)\n",
"Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (0.4.4)\n",
"Collecting lazy-object-proxy>=1.4.0\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/6e/b0/f055db25fd68ab4859832a887c8b304274fc12dd5a3f8e83e61250733aeb/lazy_object_proxy-1.6.0-cp37-cp37m-manylinux1_x86_64.whl (55kB)\n",
"\u001b[K |████████████████████████████████| 61kB 7.6MB/s \n",
"\u001b[?25hRequirement already satisfied: rsa<5,>=3.1.4; python_version >= \"3.6\" in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (4.7.2)\n",
"Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (0.2.8)\n",
"Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (4.2.2)\n",
"Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (4.5.0)\n",
"Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (1.3.0)\n",
"Requirement already satisfied: pyasn1>=0.1.3 in /usr/local/lib/python3.7/dist-packages (from rsa<5,>=3.1.4; python_version >= \"3.6\"->google-auth<2,>=1.6.3->tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (0.4.8)\n",
"Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata; python_version < \"3.8\"->markdown>=2.6.8->tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (3.4.1)\n",
"Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<3,>=2.3.0->tensorflow==2.3.1; extra == \"all\"->TTS==0.0.15.1) (3.1.1)\n",
"Building wheels for collected packages: coqpit\n",
" Building wheel for coqpit (PEP 517) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for coqpit: filename=coqpit-0.0.10-cp37-none-any.whl size=12892 sha256=6e028e48c5a84d3c4c84cdf9d1da147fb04492bc76969e05d8a4ac72a797f245\n",
" Stored in directory: /root/.cache/pip/wheels/27/bb/df/a29597112e8c4bed905ad12392d9236ea0d0836d51a5959c28\n",
"Successfully built coqpit\n",
"Building wheels for collected packages: librosa, unidic-lite, umap-learn, bokeh\n",
" Building wheel for librosa (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for librosa: filename=librosa-0.8.0-cp37-none-any.whl size=201397 sha256=0c33b79e828e4c89667e6de0d465cd0dc040435c5c79f0c972abf04ea4557639\n",
" Stored in directory: /root/.cache/pip/wheels/ee/10/1e/382bb4369e189938d5c02e06d10c651817da8d485bfd1647c9\n",
" Building wheel for unidic-lite (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for unidic-lite: filename=unidic_lite-1.0.8-cp37-none-any.whl size=47658838 sha256=c1d0b9c83957f9956049a5679ca6111af14f9fae92b063810c9b9749ad71c3a7\n",
" Stored in directory: /root/.cache/pip/wheels/20/48/8d/b66d8361a27f58f41ec86640e4fd2640de0403a6367511eab7\n",
" Building wheel for umap-learn (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for umap-learn: filename=umap_learn-0.4.6-cp37-none-any.whl size=67950 sha256=a5f3c80ffeda14b5e23d1ef6169ac0134e322a2dacf61637c1c99c124dd821e2\n",
" Stored in directory: /root/.cache/pip/wheels/7d/1d/03/34aade9a9b97acddb8e93654eb856dadbf0964406eef8b96e2\n",
" Building wheel for bokeh (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for bokeh: filename=bokeh-1.4.0-cp37-none-any.whl size=23689207 sha256=b31d112dc4ff9c8f4344eb7e9bd33b4d7047099f18d6c3386dec2913562cb7b8\n",
" Stored in directory: /root/.cache/pip/wheels/fb/f8/47/09700d9a19cbcbf0b7a3130690b75c0d6ff80fbda0b1774c7c\n",
"Successfully built librosa unidic-lite umap-learn bokeh\n",
"\u001b[31mERROR: panel 0.11.3 has requirement bokeh<2.4.0,>=2.3.0, but you'll have bokeh 1.4.0 which is incompatible.\u001b[0m\n",
"\u001b[31mERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.\u001b[0m\n",
"\u001b[31mERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
"Installing collected packages: numpy, anyascii, mecab-python3, tensorboardX, llvmlite, numba, librosa, coqpit, pysbd, unidic-lite, umap-learn, pypinyin, isort, pathspec, typed-ast, mypy-extensions, regex, black, tensorflow-estimator, gast, h5py, tensorflow, bokeh, nose, mccabe, lazy-object-proxy, astroid, pylint, TTS\n",
" Found existing installation: numpy 1.19.5\n",
" Uninstalling numpy-1.19.5:\n",
" Successfully uninstalled numpy-1.19.5\n",
" Found existing installation: llvmlite 0.34.0\n",
" Uninstalling llvmlite-0.34.0:\n",
" Successfully uninstalled llvmlite-0.34.0\n",
" Found existing installation: numba 0.51.2\n",
" Uninstalling numba-0.51.2:\n",
" Successfully uninstalled numba-0.51.2\n",
" Found existing installation: librosa 0.8.1\n",
" Uninstalling librosa-0.8.1:\n",
" Successfully uninstalled librosa-0.8.1\n",
" Found existing installation: regex 2019.12.20\n",
" Uninstalling regex-2019.12.20:\n",
" Successfully uninstalled regex-2019.12.20\n",
" Found existing installation: tensorflow-estimator 2.5.0\n",
" Uninstalling tensorflow-estimator-2.5.0:\n",
" Successfully uninstalled tensorflow-estimator-2.5.0\n",
" Found existing installation: gast 0.4.0\n",
" Uninstalling gast-0.4.0:\n",
" Successfully uninstalled gast-0.4.0\n",
" Found existing installation: h5py 3.1.0\n",
" Uninstalling h5py-3.1.0:\n",
" Successfully uninstalled h5py-3.1.0\n",
" Found existing installation: tensorflow 2.5.0\n",
" Uninstalling tensorflow-2.5.0:\n",
" Successfully uninstalled tensorflow-2.5.0\n",
" Found existing installation: bokeh 2.3.2\n",
" Uninstalling bokeh-2.3.2:\n",
" Successfully uninstalled bokeh-2.3.2\n",
" Running setup.py develop for TTS\n",
"Successfully installed TTS anyascii-0.2.0 astroid-2.5.6 black-21.6b0 bokeh-1.4.0 coqpit-0.0.10 gast-0.3.3 h5py-2.10.0 isort-5.9.1 lazy-object-proxy-1.6.0 librosa-0.8.0 llvmlite-0.35.0 mccabe-0.6.1 mecab-python3-1.0.3 mypy-extensions-0.4.3 nose-1.3.7 numba-0.52.0 numpy-1.18.5 pathspec-0.8.1 pylint-2.8.3 pypinyin-0.42.0 pysbd-0.3.4 regex-2021.4.4 tensorboardX-2.4 tensorflow-2.3.1 tensorflow-estimator-2.3.0 typed-ast-1.4.3 umap-learn-0.4.6 unidic-lite-1.0.8\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"application/vnd.colab-display-data+json": {
"pip_warning": {
"packages": [
"numpy"
]
}
}
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "DPcybYjUd1iN",
"outputId": "735fe394-3abd-41f1-a025-fd7f72f28aba"
},
"source": [
"!sudo apt-get install espeak-ng"
],
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"text": [
"Reading package lists... Done\n",
"Building dependency tree \n",
"Reading state information... Done\n",
"The following additional packages will be installed:\n",
" espeak-ng-data libespeak-ng1 libpcaudio0 libsonic0\n",
"The following NEW packages will be installed:\n",
" espeak-ng espeak-ng-data libespeak-ng1 libpcaudio0 libsonic0\n",
"0 upgraded, 5 newly installed, 0 to remove and 39 not upgraded.\n",
"Need to get 3,957 kB of archives.\n",
"After this operation, 10.9 MB of additional disk space will be used.\n",
"Get:1 http://archive.ubuntu.com/ubuntu bionic/main amd64 libpcaudio0 amd64 1.0-1 [6,536 B]\n",
"Get:2 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsonic0 amd64 0.2.0-6 [13.4 kB]\n",
"Get:3 http://archive.ubuntu.com/ubuntu bionic/main amd64 espeak-ng-data amd64 1.49.2+dfsg-1 [3,469 kB]\n",
"Get:4 http://archive.ubuntu.com/ubuntu bionic/main amd64 libespeak-ng1 amd64 1.49.2+dfsg-1 [187 kB]\n",
"Get:5 http://archive.ubuntu.com/ubuntu bionic/universe amd64 espeak-ng amd64 1.49.2+dfsg-1 [282 kB]\n",
"Fetched 3,957 kB in 1s (4,785 kB/s)\n",
"debconf: unable to initialize frontend: Dialog\n",
"debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 5.)\n",
"debconf: falling back to frontend: Readline\n",
"debconf: unable to initialize frontend: Readline\n",
"debconf: (This frontend requires a controlling tty.)\n",
"debconf: falling back to frontend: Teletype\n",
"dpkg-preconfigure: unable to re-open stdin: \n",
"Selecting previously unselected package libpcaudio0.\n",
"(Reading database ... 160772 files and directories currently installed.)\n",
"Preparing to unpack .../libpcaudio0_1.0-1_amd64.deb ...\n",
"Unpacking libpcaudio0 (1.0-1) ...\n",
"Selecting previously unselected package libsonic0:amd64.\n",
"Preparing to unpack .../libsonic0_0.2.0-6_amd64.deb ...\n",
"Unpacking libsonic0:amd64 (0.2.0-6) ...\n",
"Selecting previously unselected package espeak-ng-data:amd64.\n",
"Preparing to unpack .../espeak-ng-data_1.49.2+dfsg-1_amd64.deb ...\n",
"Unpacking espeak-ng-data:amd64 (1.49.2+dfsg-1) ...\n",
"Selecting previously unselected package libespeak-ng1:amd64.\n",
"Preparing to unpack .../libespeak-ng1_1.49.2+dfsg-1_amd64.deb ...\n",
"Unpacking libespeak-ng1:amd64 (1.49.2+dfsg-1) ...\n",
"Selecting previously unselected package espeak-ng.\n",
"Preparing to unpack .../espeak-ng_1.49.2+dfsg-1_amd64.deb ...\n",
"Unpacking espeak-ng (1.49.2+dfsg-1) ...\n",
"Setting up libsonic0:amd64 (0.2.0-6) ...\n",
"Setting up libpcaudio0 (1.0-1) ...\n",
"Setting up espeak-ng-data:amd64 (1.49.2+dfsg-1) ...\n",
"Setting up libespeak-ng1:amd64 (1.49.2+dfsg-1) ...\n",
"Setting up espeak-ng (1.49.2+dfsg-1) ...\n",
"Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
"Processing triggers for libc-bin (2.27-3ubuntu1.2) ...\n",
"/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
"\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "bG_igk_vhuyQ"
},
"source": [
"!mkdir /dataset"
],
"execution_count": 5,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "voV2QMh_fVxL",
"outputId": "1ec4a05c-5f3d-4df8-94fb-3ec9fd1d7c3b"
},
"source": [
"!tar -zxvf '/content/drive/MyDrive/Ukrainian TTS/uk_UK.tgz' -C /dataset/"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001511.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s002030.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001539.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000627.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000141.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000155.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000633.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s002024.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001908.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000380.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001920.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001934.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000394.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001061.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000419.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001707.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001713.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001075.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000343.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000425.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s002232.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s002226.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000431.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001049.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000357.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001071.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001717.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000409.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001703.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001065.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000353.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000435.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s002222.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s002236.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000421.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000347.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001059.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001918.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000390.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001930.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001924.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000384.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001515.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001273.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001267.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000179.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s002008.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001501.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s002020.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000637.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s001529.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000151.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000145.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s000623.wav\n",
"uk_UK/by_book/female/sumska/kaydasheva/wavs/kaydasheva_s002034.wav\n",
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"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s002174.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s004505.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s002160.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s004511.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s000777.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s007018.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s006306.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s001469.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s006460.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s000011.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s003518.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_7_s005107.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s004277.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s005169.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s002606.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s005182.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s002835.wav\n",
"uk_UK/by_book/male/shepel/zvirobij/wavs/zvirobij_s007795.wav\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "3NJh2YLyfWFC"
},
"source": [
"!pwd"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "X3qgpF99fI8I"
},
"source": [
"# create train-val splits\n",
"!shuf /dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata.csv > /dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata_shuf.csv\n",
"!head -n 2100 /dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata_shuf.csv > /dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata_train.csv\n",
"!tail -n 235 /dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata_shuf.csv > /dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata_val.csv"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "qzcC33a3lu0T",
"outputId": "030528f8-fca3-4f8f-ac98-ab64cd8175dd"
},
"source": [
"\n",
"import pkgutil\n",
"import TTS\n",
"for l in pkgutil.iter_modules(TTS.__path__):\n",
" print(l)"
],
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"text": [
"ModuleInfo(module_finder=FileFinder('/content/TTS/TTS'), name='bin', ispkg=True)\n",
"ModuleInfo(module_finder=FileFinder('/content/TTS/TTS'), name='config', ispkg=True)\n",
"ModuleInfo(module_finder=FileFinder('/content/TTS/TTS'), name='server', ispkg=True)\n",
"ModuleInfo(module_finder=FileFinder('/content/TTS/TTS'), name='speaker_encoder', ispkg=True)\n",
"ModuleInfo(module_finder=FileFinder('/content/TTS/TTS'), name='tts', ispkg=True)\n",
"ModuleInfo(module_finder=FileFinder('/content/TTS/TTS'), name='utils', ispkg=True)\n",
"ModuleInfo(module_finder=FileFinder('/content/TTS/TTS'), name='vocoder', ispkg=True)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "M8x4VgJjmTGC",
"outputId": "78454605-a830-41fc-f570-952c9c82253f"
},
"source": [
"%cd /content/TTS/TTS"
],
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"text": [
"/content/TTS/TTS\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "GK1s9QqhfJA2",
"outputId": "5964749d-faa8-4ea4-f222-e31e0123faea"
},
"source": [
"# load the default config file and update with the local paths and settings.\n",
"import json\n",
"from TTS.config import load_config\n",
"CONFIG = load_config('/content/TTS/recipes/ljspeech/tacotron2-DDC/tacotron2-DDC.json')\n",
"CONFIG['datasets'][0]['path'] = '/dataset/uk_UK/by_book/female/sumska/kaydasheva' # set the target dataset to the LJSpeech\n",
"CONFIG['datasets'][0]['meta_file_train'] = '/dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata_train.csv' # set the target dataset to the LJSpeech\n",
"CONFIG['datasets'][0]['meta_file_val'] = '/dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata_val.csv' # set the target dataset to the LJSpeech\n",
"CONFIG['audio']['sample_rate'] = 16000\n",
"CONFIG['audio']['stats_path'] = None # do not use mean and variance stats to normalizat spectrograms. Mean and variance stats need to be computed separately. \n",
"CONFIG['output_path'] = '../'\n",
"print(CONFIG.to_json())\n",
"CONFIG.save_json(\"config.json\")"
],
"execution_count": 12,
"outputs": [
{
"output_type": "stream",
"text": [
"{\n",
" \"model\": \"Tacotron2\",\n",
" \"run_name\": \"ljspeech-ddc\",\n",
" \"run_description\": \"tacotron2 with double decoder consistency.\",\n",
" \"epochs\": 1000,\n",
" \"batch_size\": 64,\n",
" \"eval_batch_size\": 16,\n",
" \"mixed_precision\": true,\n",
" \"run_eval\": true,\n",
" \"test_delay_epochs\": 10,\n",
" \"print_eval\": false,\n",
" \"print_step\": 25,\n",
" \"tb_plot_step\": 100,\n",
" \"tb_model_param_stats\": false,\n",
" \"save_step\": 10000,\n",
" \"checkpoint\": true,\n",
" \"keep_all_best\": false,\n",
" \"keep_after\": 10000,\n",
" \"num_loader_workers\": 4,\n",
" \"num_val_loader_workers\": 4,\n",
" \"use_noise_augment\": false,\n",
" \"output_path\": \"../\",\n",
" \"distributed_backend\": \"nccl\",\n",
" \"distributed_url\": \"tcp://localhost:54321\",\n",
" \"audio\": {\n",
" \"fft_size\": 1024,\n",
" \"win_length\": 1024,\n",
" \"hop_length\": 256,\n",
" \"frame_shift_ms\": null,\n",
" \"frame_length_ms\": null,\n",
" \"stft_pad_mode\": \"reflect\",\n",
" \"sample_rate\": 16000,\n",
" \"resample\": false,\n",
" \"preemphasis\": 0.0,\n",
" \"ref_level_db\": 20,\n",
" \"do_sound_norm\": false,\n",
" \"do_trim_silence\": true,\n",
" \"trim_db\": 60,\n",
" \"power\": 1.5,\n",
" \"griffin_lim_iters\": 60,\n",
" \"num_mels\": 80,\n",
" \"mel_fmin\": 50.0,\n",
" \"mel_fmax\": 7600.0,\n",
" \"spec_gain\": 1,\n",
" \"signal_norm\": true,\n",
" \"min_level_db\": -100,\n",
" \"symmetric_norm\": true,\n",
" \"max_norm\": 4.0,\n",
" \"clip_norm\": true,\n",
" \"stats_path\": null\n",
" },\n",
" \"use_phonemes\": false,\n",
" \"phoneme_language\": \"en-us\",\n",
" \"compute_input_seq_cache\": true,\n",
" \"text_cleaner\": \"phoneme_cleaners\",\n",
" \"enable_eos_bos_chars\": false,\n",
" \"test_sentences_file\": null,\n",
" \"phoneme_cache_path\": \"DEFINE THIS\",\n",
" \"characters\": null,\n",
" \"batch_group_size\": 4,\n",
" \"loss_masking\": true,\n",
" \"min_seq_len\": 6,\n",
" \"max_seq_len\": 180,\n",
" \"compute_f0\": false,\n",
" \"add_blank\": false,\n",
" \"datasets\": [\n",
" {\n",
" \"name\": \"ljspeech\",\n",
" \"path\": \"/dataset/uk_UK/by_book/female/sumska/kaydasheva\",\n",
" \"meta_file_train\": \"/dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata_train.csv\",\n",
" \"ununsed_speakers\": null,\n",
" \"meta_file_val\": \"/dataset/uk_UK/by_book/female/sumska/kaydasheva/metadata_val.csv\",\n",
" \"meta_file_attn_mask\": \"\"\n",
" }\n",
" ],\n",
" \"use_gst\": false,\n",
" \"gst\": {\n",
" \"gst_style_input_wav\": null,\n",
" \"gst_style_input_weights\": null,\n",
" \"gst_embedding_dim\": 256,\n",
" \"gst_use_speaker_embedding\": false,\n",
" \"gst_num_heads\": 4,\n",
" \"gst_num_style_tokens\": 10\n",
" },\n",
" \"gst_style_input\": null,\n",
" \"r\": 6,\n",
" \"gradual_training\": [\n",
" [\n",
" 0,\n",
" 6,\n",
" 64\n",
" ],\n",
" [\n",
" 10000,\n",
" 4,\n",
" 32\n",
" ],\n",
" [\n",
" 50000,\n",
" 3,\n",
" 32\n",
" ],\n",
" [\n",
" 100000,\n",
" 2,\n",
" 32\n",
" ]\n",
" ],\n",
" \"memory_size\": -1,\n",
" \"prenet_type\": \"original\",\n",
" \"prenet_dropout\": true,\n",
" \"prenet_dropout_at_inference\": false,\n",
" \"stopnet\": true,\n",
" \"separate_stopnet\": true,\n",
" \"stopnet_pos_weight\": 15.0,\n",
" \"attention_type\": \"original\",\n",
" \"attention_heads\": null,\n",
" \"attention_norm\": \"sigmoid\",\n",
" \"windowing\": false,\n",
" \"use_forward_attn\": false,\n",
" \"forward_attn_mask\": false,\n",
" \"transition_agent\": false,\n",
" \"location_attn\": true,\n",
" \"bidirectional_decoder\": false,\n",
" \"double_decoder_consistency\": true,\n",
" \"ddc_r\": 6,\n",
" \"use_speaker_embedding\": false,\n",
" \"use_external_speaker_embedding_file\": false,\n",
" \"external_speaker_embedding_file\": false,\n",
" \"noam_schedule\": true,\n",
" \"warmup_steps\": 4000,\n",
" \"lr\": 0.001,\n",
" \"wd\": 1e-06,\n",
" \"grad_clip\": 0.05,\n",
" \"seq_len_norm\": false,\n",
" \"decoder_loss_alpha\": 0.25,\n",
" \"postnet_loss_alpha\": 0.25,\n",
" \"postnet_diff_spec_alpha\": 0.25,\n",
" \"decoder_diff_spec_alpha\": 0.25,\n",
" \"decoder_ssim_alpha\": 0.25,\n",
" \"postnet_ssim_alpha\": 0.25,\n",
" \"ga_alpha\": 5.0\n",
"}\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "GSgg7lYSfq0t",
"outputId": "43a70871-db1b-4574-cb93-d49d4b86aed6"
},
"source": [
"# pull the trigger\n",
"!CUDA_VISIBLE_DEVICES=\"0\" python /content/TTS/TTS/bin/train_tacotron.py --config_path /content/TTS/TTS/config.json | tee training.log"
],
"execution_count": 13,
"outputs": [
{
"output_type": "stream",
"text": [
"\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
" | > loader_time: 0.04\n",
" | > current_lr: 0.0003375\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.03 sec -- GLOBAL_STEP: 1364\u001b[0m\n",
" | > avg_decoder_loss: 4.95080\n",
" | > avg_postnet_loss: 5.43905\n",
" | > avg_stopnet_loss: 0.93591\n",
" | > avg_decoder_coarse_loss: 4.64893\n",
" | > avg_decoder_ddc_loss: 0.01229\n",
" | > avg_ga_loss: 0.00334\n",
" | > avg_decoder_diff_spec_loss: 0.00107\n",
" | > avg_postnet_diff_spec_loss: 3.54557\n",
" | > avg_decoder_ssim_loss: 0.56458\n",
" | > avg_postnet_ssim_loss: 0.56058\n",
" | > avg_loss: 4.94741\n",
" | > avg_align_error: 0.98775\n",
" | > avg_loader_time: 0.01974\n",
" | > avg_step_time: 1.71916\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 4.96736 \u001b[0m(-0.00187)\n",
" | > avg_postnet_loss:\u001b[92m 2.36109 \u001b[0m(-0.62884)\n",
" | > avg_stopnet_loss:\u001b[91m 0.95775 \u001b[0m(+0.01906)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.64758 \u001b[0m(-0.00159)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01346 \u001b[0m(+0.00092)\n",
" | > avg_ga_loss:\u001b[91m 0.00311 \u001b[0m(+0.00001)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 0.00121 \u001b[0m(+0.00020)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 0.36993 \u001b[0m(-0.01071)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81914 \u001b[0m(-0.00004)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.78973 \u001b[0m(-0.00989)\n",
" | > avg_loss:\u001b[92m 3.50792 \u001b[0m(-0.16291)\n",
" | > avg_align_error:\u001b[92m 0.98769 \u001b[0m(-0.00088)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 44/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:26:46) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 10/30 -- GLOBAL_STEP: 1375\u001b[0m\n",
" | > decoder_loss: 4.96243 (4.96477)\n",
" | > postnet_loss: 5.69509 (5.24323)\n",
" | > stopnet_loss: 0.95695 (0.97379)\n",
" | > decoder_coarse_loss: 4.65854 (4.67197)\n",
" | > decoder_ddc_loss: 0.01346 (0.01638)\n",
" | > ga_loss: 0.00339 (0.00477)\n",
" | > decoder_diff_spec_loss: 0.00098 (0.00114)\n",
" | > postnet_diff_spec_loss: 3.35397 (3.48671)\n",
" | > decoder_ssim_loss: 0.71009 (0.52644)\n",
" | > postnet_ssim_loss: 0.70679 (0.52200)\n",
" | > loss: 5.04227 (4.88198)\n",
" | > align_error: 0.98705 (0.98246)\n",
" | > max_spec_length: 484.0\n",
" | > max_text_length: 101.0\n",
" | > step_time: 1.3950\n",
" | > loader_time: 0.04\n",
" | > current_lr: 0.00034375000000000003\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.74 sec -- GLOBAL_STEP: 1395\u001b[0m\n",
" | > avg_decoder_loss: 4.95138\n",
" | > avg_postnet_loss: 5.30334\n",
" | > avg_stopnet_loss: 0.94344\n",
" | > avg_decoder_coarse_loss: 4.64849\n",
" | > avg_decoder_ddc_loss: 0.01235\n",
" | > avg_ga_loss: 0.00335\n",
" | > avg_decoder_diff_spec_loss: 0.00102\n",
" | > avg_postnet_diff_spec_loss: 3.46574\n",
" | > avg_decoder_ssim_loss: 0.56420\n",
" | > avg_postnet_ssim_loss: 0.56044\n",
" | > avg_loss: 4.89351\n",
" | > avg_align_error: 0.98748\n",
" | > avg_loader_time: 0.01900\n",
" | > avg_step_time: 1.71571\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
"warning: audio amplitude out of range, auto clipped.\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 4.96985 \u001b[0m(+0.00249)\n",
" | > avg_postnet_loss:\u001b[91m 2.42945 \u001b[0m(+0.06836)\n",
" | > avg_stopnet_loss:\u001b[92m 0.94740 \u001b[0m(-0.01035)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.64737 \u001b[0m(-0.00020)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01320 \u001b[0m(-0.00026)\n",
" | > avg_ga_loss:\u001b[92m 0.00310 \u001b[0m(-0.00001)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 0.00094 \u001b[0m(-0.00027)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 0.35788 \u001b[0m(-0.01205)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81930 \u001b[0m(+0.00016)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79182 \u001b[0m(+0.00208)\n",
" | > avg_loss:\u001b[91m 3.52294 \u001b[0m(+0.01501)\n",
" | > avg_align_error:\u001b[91m 0.98792 \u001b[0m(+0.00022)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 45/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:27:56) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 4/30 -- GLOBAL_STEP: 1400\u001b[0m\n",
" | > decoder_loss: 4.96791 (4.96085)\n",
" | > postnet_loss: 5.24511 (5.05965)\n",
" | > stopnet_loss: 0.96820 (0.99597)\n",
" | > decoder_coarse_loss: 4.66815 (4.67620)\n",
" | > decoder_ddc_loss: 0.01635 (0.01950)\n",
" | > ga_loss: 0.00445 (0.00598)\n",
" | > decoder_diff_spec_loss: 0.00106 (0.00115)\n",
" | > postnet_diff_spec_loss: 3.41854 (3.54104)\n",
" | > decoder_ssim_loss: 0.54480 (0.46699)\n",
" | > postnet_ssim_loss: 0.54081 (0.46213)\n",
" | > loss: 4.87292 (4.82677)\n",
" | > align_error: 0.98345 (0.97863)\n",
" | > max_spec_length: 451.0\n",
" | > max_text_length: 81.0\n",
" | > step_time: 1.5167\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00035\n",
"\n",
"\u001b[1m --> STEP: 29/30 -- GLOBAL_STEP: 1425\u001b[0m\n",
" | > decoder_loss: 4.86869 (4.95557)\n",
" | > postnet_loss: 5.25910 (5.38698)\n",
" | > stopnet_loss: 0.92319 (0.94137)\n",
" | > decoder_coarse_loss: 4.60002 (4.65077)\n",
" | > decoder_ddc_loss: 0.00354 (0.01168)\n",
" | > ga_loss: 0.00510 (0.00324)\n",
" | > decoder_diff_spec_loss: 0.00102 (0.00100)\n",
" | > postnet_diff_spec_loss: 5.02209 (3.54472)\n",
" | > decoder_ssim_loss: 0.04679 (0.54909)\n",
" | > postnet_ssim_loss: 0.04391 (0.54557)\n",
" | > loss: 4.98678 (4.92754)\n",
" | > align_error: 0.99140 (0.98802)\n",
" | > max_spec_length: 798.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.3996\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00035624999999999996\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.94 sec -- GLOBAL_STEP: 1426\u001b[0m\n",
" | > avg_decoder_loss: 4.95218\n",
" | > avg_postnet_loss: 5.43593\n",
" | > avg_stopnet_loss: 0.94612\n",
" | > avg_decoder_coarse_loss: 4.64805\n",
" | > avg_decoder_ddc_loss: 0.01241\n",
" | > avg_ga_loss: 0.00334\n",
" | > avg_decoder_diff_spec_loss: 0.00100\n",
" | > avg_postnet_diff_spec_loss: 3.55813\n",
" | > avg_decoder_ssim_loss: 0.56414\n",
" | > avg_postnet_ssim_loss: 0.56060\n",
" | > avg_loss: 4.94981\n",
" | > avg_align_error: 0.98753\n",
" | > avg_loader_time: 0.01793\n",
" | > avg_step_time: 1.71311\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 4.97021 \u001b[0m(+0.00036)\n",
" | > avg_postnet_loss:\u001b[91m 3.43984 \u001b[0m(+1.01039)\n",
" | > avg_stopnet_loss:\u001b[91m 0.95329 \u001b[0m(+0.00589)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.64887 \u001b[0m(+0.00150)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01274 \u001b[0m(-0.00046)\n",
" | > avg_ga_loss:\u001b[91m 0.00312 \u001b[0m(+0.00002)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 0.00092 \u001b[0m(-0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 0.37938 \u001b[0m(+0.02149)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81930 \u001b[0m(+0.00001)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80775 \u001b[0m(+0.01593)\n",
" | > avg_loss:\u001b[91m 3.78533 \u001b[0m(+0.26239)\n",
" | > avg_align_error:\u001b[91m 0.98799 \u001b[0m(+0.00008)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 46/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:29:07) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 23/30 -- GLOBAL_STEP: 1450\u001b[0m\n",
" | > decoder_loss: 4.96295 (4.96351)\n",
" | > postnet_loss: 6.93311 (6.23425)\n",
" | > stopnet_loss: 0.91559 (0.94787)\n",
" | > decoder_coarse_loss: 4.64750 (4.65916)\n",
" | > decoder_ddc_loss: 0.00901 (0.01333)\n",
" | > ga_loss: 0.00205 (0.00346)\n",
" | > decoder_diff_spec_loss: 0.00129 (0.00106)\n",
" | > postnet_diff_spec_loss: 4.17961 (3.91275)\n",
" | > decoder_ssim_loss: 0.54058 (0.57807)\n",
" | > postnet_ssim_loss: 0.53842 (0.57545)\n",
" | > loss: 5.46335 (5.25169)\n",
" | > align_error: 0.99151 (0.98688)\n",
" | > max_spec_length: 1043.0\n",
" | > max_text_length: 164.0\n",
" | > step_time: 1.8267\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0003625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.93 sec -- GLOBAL_STEP: 1457\u001b[0m\n",
" | > avg_decoder_loss: 4.95378\n",
" | > avg_postnet_loss: 6.60300\n",
" | > avg_stopnet_loss: 0.94765\n",
" | > avg_decoder_coarse_loss: 4.64997\n",
" | > avg_decoder_ddc_loss: 0.01279\n",
" | > avg_ga_loss: 0.00335\n",
" | > avg_decoder_diff_spec_loss: 0.00113\n",
" | > avg_postnet_diff_spec_loss: 3.99271\n",
" | > avg_decoder_ssim_loss: -inf\n",
" | > avg_postnet_ssim_loss: 0.56123\n",
" | > avg_loss: -inf\n",
" | > avg_align_error: 0.98745\n",
" | > avg_loader_time: 0.01670\n",
" | > avg_step_time: 1.71090\n",
"\n",
"WARNING:root:NaN or Inf found in input tensor.\n",
"WARNING:root:NaN or Inf found in input tensor.\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 4.97021 \u001b[0m(+0.00000)\n",
" | > avg_postnet_loss:\u001b[91m 12.03299 \u001b[0m(+8.59315)\n",
" | > avg_stopnet_loss:\u001b[91m 0.97091 \u001b[0m(+0.01762)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65033 \u001b[0m(+0.00146)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01262 \u001b[0m(-0.00013)\n",
" | > avg_ga_loss:\u001b[91m 0.00314 \u001b[0m(+0.00003)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 0.00140 \u001b[0m(+0.00049)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 0.46090 \u001b[0m(+0.08153)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81924 \u001b[0m(-0.00007)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.77737 \u001b[0m(-0.03038)\n",
" | > avg_loss:\u001b[91m 5.94699 \u001b[0m(+2.16166)\n",
" | > avg_align_error:\u001b[92m 0.98778 \u001b[0m(-0.00021)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 47/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:30:18) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 17/30 -- GLOBAL_STEP: 1475\u001b[0m\n",
" | > decoder_loss: 4.96288 (4.96451)\n",
" | > postnet_loss: 8.31335 (7.55458)\n",
" | > stopnet_loss: 0.95671 (0.97813)\n",
" | > decoder_coarse_loss: 4.65215 (4.66320)\n",
" | > decoder_ddc_loss: 0.01019 (0.01509)\n",
" | > ga_loss: 0.00236 (0.00394)\n",
" | > decoder_diff_spec_loss: 0.00128 (0.00122)\n",
" | > postnet_diff_spec_loss: 3.88313 (4.04095)\n",
" | > decoder_ssim_loss: 0.46905 (0.55991)\n",
" | > postnet_ssim_loss: 0.46604 (0.55680)\n",
" | > loss: 5.70134 (5.60879)\n",
" | > align_error: 0.99010 (0.98536)\n",
" | > max_spec_length: 946.0\n",
" | > max_text_length: 144.0\n",
" | > step_time: 2.2394\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00036875\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.78 sec -- GLOBAL_STEP: 1488\u001b[0m\n",
" | > avg_decoder_loss: 4.95278\n",
" | > avg_postnet_loss: 7.53938\n",
" | > avg_stopnet_loss: 0.96419\n",
" | > avg_decoder_coarse_loss: 4.64855\n",
" | > avg_decoder_ddc_loss: 0.01303\n",
" | > avg_ga_loss: 0.00336\n",
" | > avg_decoder_diff_spec_loss: 0.00116\n",
" | > avg_postnet_diff_spec_loss: 4.02725\n",
" | > avg_decoder_ssim_loss: 0.56435\n",
" | > avg_postnet_ssim_loss: 0.56134\n",
" | > avg_loss: 5.59377\n",
" | > avg_align_error: 0.98736\n",
" | > avg_loader_time: 0.01830\n",
" | > avg_step_time: 1.70863\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 4.96978 \u001b[0m(-0.00044)\n",
" | > avg_postnet_loss:\u001b[92m 2.17937 \u001b[0m(-9.85361)\n",
" | > avg_stopnet_loss:\u001b[92m 0.95474 \u001b[0m(-0.01617)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65089 \u001b[0m(+0.00056)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01256 \u001b[0m(-0.00005)\n",
" | > avg_ga_loss:\u001b[91m 0.00317 \u001b[0m(+0.00003)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 0.00106 \u001b[0m(-0.00034)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 0.40551 \u001b[0m(-0.05540)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81931 \u001b[0m(+0.00008)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.78256 \u001b[0m(+0.00519)\n",
" | > avg_loss:\u001b[92m 3.47112 \u001b[0m(-2.47586)\n",
" | > avg_align_error:\u001b[92m 0.98703 \u001b[0m(-0.00075)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 48/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:31:29) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 11/30 -- GLOBAL_STEP: 1500\u001b[0m\n",
" | > decoder_loss: 4.96715 (4.96644)\n",
" | > postnet_loss: 7.74010 (7.45701)\n",
" | > stopnet_loss: 0.98544 (0.99332)\n",
" | > decoder_coarse_loss: 4.66117 (4.66966)\n",
" | > decoder_ddc_loss: 0.01427 (0.01753)\n",
" | > ga_loss: 0.00341 (0.00468)\n",
" | > decoder_diff_spec_loss: 0.00138 (0.00129)\n",
" | > postnet_diff_spec_loss: 3.74456 (4.04497)\n",
" | > decoder_ssim_loss: 0.66088 (0.53871)\n",
" | > postnet_ssim_loss: 0.65786 (0.53536)\n",
" | > loss: 5.62890 (5.58113)\n",
" | > align_error: 0.98587 (0.98184)\n",
" | > max_spec_length: 514.0\n",
" | > max_text_length: 102.0\n",
" | > step_time: 1.7163\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.000375\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 55.84 sec -- GLOBAL_STEP: 1519\u001b[0m\n",
" | > avg_decoder_loss: 5.02175\n",
" | > avg_postnet_loss: 7.66090\n",
" | > avg_stopnet_loss: 1.56906\n",
" | > avg_decoder_coarse_loss: 4.64749\n",
" | > avg_decoder_ddc_loss: 0.01237\n",
" | > avg_ga_loss: 0.00343\n",
" | > avg_decoder_diff_spec_loss: 0.19085\n",
" | > avg_postnet_diff_spec_loss: 4.22307\n",
" | > avg_decoder_ssim_loss: inf\n",
" | > avg_postnet_ssim_loss: 0.56141\n",
" | > avg_loss: inf\n",
" | > avg_align_error: 0.98611\n",
" | > avg_loader_time: 0.01914\n",
" | > avg_step_time: 1.77478\n",
"\n",
"WARNING:root:NaN or Inf found in input tensor.\n",
"WARNING:root:NaN or Inf found in input tensor.\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 5.97041 \u001b[0m(+1.00064)\n",
" | > avg_postnet_loss:\u001b[91m 8.39487 \u001b[0m(+6.21550)\n",
" | > avg_stopnet_loss:\u001b[91m 6.06021 \u001b[0m(+5.10547)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.63578 \u001b[0m(-0.01511)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.00559 \u001b[0m(-0.00697)\n",
" | > avg_ga_loss:\u001b[91m 0.00338 \u001b[0m(+0.00020)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 2.59381 \u001b[0m(+2.59275)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 3.39735 \u001b[0m(+2.99184)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81764 \u001b[0m(-0.00168)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.81505 \u001b[0m(+0.03249)\n",
" | > avg_loss:\u001b[91m 6.67451 \u001b[0m(+3.20338)\n",
" | > avg_align_error:\u001b[92m 0.97899 \u001b[0m(-0.00805)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 49/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:32:42) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 5/30 -- GLOBAL_STEP: 1525\u001b[0m\n",
" | > decoder_loss: 6.37538 (6.17501)\n",
" | > postnet_loss: 8.83841 (8.84705)\n",
" | > stopnet_loss: 4.47668 (5.07608)\n",
" | > decoder_coarse_loss: 4.68056 (4.67625)\n",
" | > decoder_ddc_loss: 0.00920 (0.00706)\n",
" | > ga_loss: 0.00465 (0.00625)\n",
" | > decoder_diff_spec_loss: 3.51428 (3.09333)\n",
" | > postnet_diff_spec_loss: 7.72814 (7.39534)\n",
" | > decoder_ssim_loss: 0.57860 (0.48769)\n",
" | > postnet_ssim_loss: 0.57770 (0.48675)\n",
" | > loss: 8.09880 (7.82340)\n",
" | > align_error: 0.98100 (0.97385)\n",
" | > max_spec_length: 435.0\n",
" | > max_text_length: 85.0\n",
" | > step_time: 1.6653\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00038125\n",
"\n",
"\u001b[1m --> STEP: 30/30 -- GLOBAL_STEP: 1550\u001b[0m\n",
" | > decoder_loss: 6.77391 (6.84835)\n",
" | > postnet_loss: 8.80052 (9.34339)\n",
" | > stopnet_loss: 2.80745 (3.99556)\n",
" | > decoder_coarse_loss: 4.57581 (4.65224)\n",
" | > decoder_ddc_loss: 0.03190 (0.00930)\n",
" | > ga_loss: 0.00633 (0.00347)\n",
" | > decoder_diff_spec_loss: 4.72084 (4.65114)\n",
" | > postnet_diff_spec_loss: 8.70828 (8.89866)\n",
" | > decoder_ssim_loss: 0.99803 (0.56255)\n",
" | > postnet_ssim_loss: 0.99624 (0.56166)\n",
" | > loss: 8.93304 (8.89919)\n",
" | > align_error: 0.97191 (0.98589)\n",
" | > max_spec_length: 202.0\n",
" | > max_text_length: 43.0\n",
" | > step_time: 0.3302\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00038750000000000004\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 58.57 sec -- GLOBAL_STEP: 1550\u001b[0m\n",
" | > avg_decoder_loss: 6.84835\n",
" | > avg_postnet_loss: 9.34339\n",
" | > avg_stopnet_loss: 3.99556\n",
" | > avg_decoder_coarse_loss: 4.65224\n",
" | > avg_decoder_ddc_loss: 0.00930\n",
" | > avg_ga_loss: 0.00347\n",
" | > avg_decoder_diff_spec_loss: 4.65114\n",
" | > avg_postnet_diff_spec_loss: 8.89866\n",
" | > avg_decoder_ssim_loss: 0.56255\n",
" | > avg_postnet_ssim_loss: 0.56166\n",
" | > avg_loss: 8.89919\n",
" | > avg_align_error: 0.98589\n",
" | > avg_loader_time: 0.02163\n",
" | > avg_step_time: 1.86995\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.14832 \u001b[0m(+1.17791)\n",
" | > avg_postnet_loss:\u001b[92m 7.58392 \u001b[0m(-0.81096)\n",
" | > avg_stopnet_loss:\u001b[92m 3.91662 \u001b[0m(-2.14359)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65342 \u001b[0m(+0.01764)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01167 \u001b[0m(+0.00608)\n",
" | > avg_ga_loss:\u001b[92m 0.00313 \u001b[0m(-0.00025)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.35304 \u001b[0m(+2.75923)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.93174 \u001b[0m(+2.53439)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81803 \u001b[0m(+0.00039)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.81780 \u001b[0m(+0.00275)\n",
" | > avg_loss:\u001b[91m 8.09512 \u001b[0m(+1.42061)\n",
" | > avg_align_error:\u001b[91m 0.98846 \u001b[0m(+0.00948)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 50/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:33:57) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 24/30 -- GLOBAL_STEP: 1575\u001b[0m\n",
" | > decoder_loss: 7.39248 (7.23699)\n",
" | > postnet_loss: 7.75945 (7.91596)\n",
" | > stopnet_loss: 13.39782 (8.60522)\n",
" | > decoder_coarse_loss: 4.64002 (4.66481)\n",
" | > decoder_ddc_loss: 0.00734 (0.01229)\n",
" | > ga_loss: 0.00191 (0.00348)\n",
" | > decoder_diff_spec_loss: 5.03919 (4.73037)\n",
" | > postnet_diff_spec_loss: 8.45319 (8.24847)\n",
" | > decoder_ssim_loss: 0.54960 (0.57628)\n",
" | > postnet_ssim_loss: 0.54760 (0.57389)\n",
" | > loss: 8.60675 (8.50715)\n",
" | > align_error: 0.98966 (0.98418)\n",
" | > max_spec_length: 1125.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 2.0314\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00039374999999999995\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.24 sec -- GLOBAL_STEP: 1581\u001b[0m\n",
" | > avg_decoder_loss: 7.24232\n",
" | > avg_postnet_loss: 7.90824\n",
" | > avg_stopnet_loss: 9.51785\n",
" | > avg_decoder_coarse_loss: 4.65669\n",
" | > avg_decoder_ddc_loss: 0.01195\n",
" | > avg_ga_loss: 0.00343\n",
" | > avg_decoder_diff_spec_loss: 4.75164\n",
" | > avg_postnet_diff_spec_loss: 8.32833\n",
" | > avg_decoder_ssim_loss: 0.56314\n",
" | > avg_postnet_ssim_loss: 0.56073\n",
" | > avg_loss: 8.52292\n",
" | > avg_align_error: 0.98456\n",
" | > avg_loader_time: 0.01993\n",
" | > avg_step_time: 1.71963\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.33993 \u001b[0m(+0.19160)\n",
" | > avg_postnet_loss:\u001b[92m 5.06654 \u001b[0m(-2.51737)\n",
" | > avg_stopnet_loss:\u001b[91m 13.24246 \u001b[0m(+9.32584)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65853 \u001b[0m(+0.00511)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01192 \u001b[0m(+0.00025)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00008)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 4.88676 \u001b[0m(-0.46628)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.12204 \u001b[0m(-0.80970)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81882 \u001b[0m(+0.00079)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80001 \u001b[0m(-0.01780)\n",
" | > avg_loss:\u001b[92m 7.19219 \u001b[0m(-0.90293)\n",
" | > avg_align_error:\u001b[92m 0.98613 \u001b[0m(-0.00233)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 51/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:35:08) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 18/30 -- GLOBAL_STEP: 1600\u001b[0m\n",
" | > decoder_loss: 7.26477 (7.26624)\n",
" | > postnet_loss: 7.67440 (7.77821)\n",
" | > stopnet_loss: 13.35687 (13.14441)\n",
" | > decoder_coarse_loss: 4.65578 (4.67061)\n",
" | > decoder_ddc_loss: 0.00892 (0.01330)\n",
" | > ga_loss: 0.00241 (0.00399)\n",
" | > decoder_diff_spec_loss: 4.79993 (4.74874)\n",
" | > postnet_diff_spec_loss: 8.23282 (8.24969)\n",
" | > decoder_ssim_loss: 0.54218 (0.55775)\n",
" | > postnet_ssim_loss: 0.53998 (0.55503)\n",
" | > loss: 8.44176 (8.47986)\n",
" | > align_error: 0.98726 (0.98166)\n",
" | > max_spec_length: 882.0\n",
" | > max_text_length: 144.0\n",
" | > step_time: 2.1735\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00039999999999999996\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.63 sec -- GLOBAL_STEP: 1612\u001b[0m\n",
" | > avg_decoder_loss: 7.23594\n",
" | > avg_postnet_loss: 7.80827\n",
" | > avg_stopnet_loss: 13.12799\n",
" | > avg_decoder_coarse_loss: 4.65712\n",
" | > avg_decoder_ddc_loss: 0.01168\n",
" | > avg_ga_loss: 0.00347\n",
" | > avg_decoder_diff_spec_loss: 4.73628\n",
" | > avg_postnet_diff_spec_loss: 8.28017\n",
" | > avg_decoder_ssim_loss: 0.56317\n",
" | > avg_postnet_ssim_loss: 0.56067\n",
" | > avg_loss: 8.48067\n",
" | > avg_align_error: 0.98400\n",
" | > avg_loader_time: 0.01744\n",
" | > avg_step_time: 1.73928\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.19635 \u001b[0m(-0.14358)\n",
" | > avg_postnet_loss:\u001b[91m 5.09431 \u001b[0m(+0.02777)\n",
" | > avg_stopnet_loss:\u001b[92m 12.90247 \u001b[0m(-0.33999)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65858 \u001b[0m(+0.00005)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01195 \u001b[0m(+0.00003)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 4.66957 \u001b[0m(-0.21719)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 4.86257 \u001b[0m(-0.25947)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81876 \u001b[0m(-0.00006)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80123 \u001b[0m(+0.00123)\n",
" | > avg_loss:\u001b[92m 7.04438 \u001b[0m(-0.14781)\n",
" | > avg_align_error:\u001b[92m 0.98611 \u001b[0m(-0.00002)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 52/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:36:20) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 12/30 -- GLOBAL_STEP: 1625\u001b[0m\n",
" | > decoder_loss: 7.51356 (7.27908)\n",
" | > postnet_loss: 8.21945 (7.88543)\n",
" | > stopnet_loss: 12.18394 (12.29128)\n",
" | > decoder_coarse_loss: 4.66341 (4.67677)\n",
" | > decoder_ddc_loss: 0.01036 (0.01476)\n",
" | > ga_loss: 0.00291 (0.00466)\n",
" | > decoder_diff_spec_loss: 5.59996 (4.98546)\n",
" | > postnet_diff_spec_loss: 9.09745 (8.58420)\n",
" | > decoder_ssim_loss: 0.61704 (0.54397)\n",
" | > postnet_ssim_loss: 0.61491 (0.54113)\n",
" | > loss: 9.09858 (8.65102)\n",
" | > align_error: 0.98529 (0.97911)\n",
" | > max_spec_length: 690.0\n",
" | > max_text_length: 122.0\n",
" | > step_time: 1.8298\n",
" | > loader_time: 0.05\n",
" | > current_lr: 0.00040625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.51 sec -- GLOBAL_STEP: 1643\u001b[0m\n",
" | > avg_decoder_loss: 7.43497\n",
" | > avg_postnet_loss: 8.11099\n",
" | > avg_stopnet_loss: 12.18212\n",
" | > avg_decoder_coarse_loss: 4.65635\n",
" | > avg_decoder_ddc_loss: 0.01153\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.43471\n",
" | > avg_postnet_diff_spec_loss: 9.07100\n",
" | > avg_decoder_ssim_loss: 0.56312\n",
" | > avg_postnet_ssim_loss: 0.56078\n",
" | > avg_loss: 8.97819\n",
" | > avg_align_error: 0.98379\n",
" | > avg_loader_time: 0.02004\n",
" | > avg_step_time: 1.72899\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54471 \u001b[0m(+0.34836)\n",
" | > avg_postnet_loss:\u001b[91m 5.57098 \u001b[0m(+0.47667)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91985 \u001b[0m(-0.98261)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00097)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00006)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70320 \u001b[0m(+1.03363)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98039 \u001b[0m(+1.11782)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00004)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80508 \u001b[0m(+0.00385)\n",
" | > avg_loss:\u001b[91m 7.78917 \u001b[0m(+0.74480)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00030)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 53/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:37:31) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 6/30 -- GLOBAL_STEP: 1650\u001b[0m\n",
" | > decoder_loss: 7.47113 (7.39438)\n",
" | > postnet_loss: 8.22648 (8.02454)\n",
" | > stopnet_loss: 11.69710 (11.57092)\n",
" | > decoder_coarse_loss: 4.67473 (4.68300)\n",
" | > decoder_ddc_loss: 0.01516 (0.01718)\n",
" | > ga_loss: 0.00463 (0.00570)\n",
" | > decoder_diff_spec_loss: 5.54534 (5.37754)\n",
" | > postnet_diff_spec_loss: 9.12834 (9.09075)\n",
" | > decoder_ssim_loss: 0.60198 (0.50746)\n",
" | > postnet_ssim_loss: 0.59931 (0.50432)\n",
" | > loss: 9.08877 (8.92828)\n",
" | > align_error: 0.97934 (0.97576)\n",
" | > max_spec_length: 423.0\n",
" | > max_text_length: 80.0\n",
" | > step_time: 1.1784\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0004125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.96 sec -- GLOBAL_STEP: 1674\u001b[0m\n",
" | > avg_decoder_loss: 7.51523\n",
" | > avg_postnet_loss: 8.22271\n",
" | > avg_stopnet_loss: 11.94646\n",
" | > avg_decoder_coarse_loss: 4.65643\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67062\n",
" | > avg_postnet_diff_spec_loss: 9.33506\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56081\n",
" | > avg_loss: 9.15118\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01970\n",
" | > avg_step_time: 1.74541\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54567 \u001b[0m(+0.00096)\n",
" | > avg_postnet_loss:\u001b[92m 5.53758 \u001b[0m(-0.03340)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91740 \u001b[0m(-0.00245)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65759 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70602 \u001b[0m(+0.00281)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98244 \u001b[0m(+0.00205)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80480 \u001b[0m(-0.00028)\n",
" | > avg_loss:\u001b[92m 7.78221 \u001b[0m(-0.00696)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 54/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:38:44) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 0/30 -- GLOBAL_STEP: 1675\u001b[0m\n",
" | > decoder_loss: 7.33921 (7.33921)\n",
" | > postnet_loss: 7.89960 (7.89960)\n",
" | > stopnet_loss: 11.44743 (11.44743)\n",
" | > decoder_coarse_loss: 4.70254 (4.70254)\n",
" | > decoder_ddc_loss: 0.02041 (0.02041)\n",
" | > ga_loss: 0.00662 (0.00662)\n",
" | > decoder_diff_spec_loss: 5.22673 (5.22673)\n",
" | > postnet_diff_spec_loss: 9.02309 (9.02309)\n",
" | > decoder_ssim_loss: 0.45308 (0.45308)\n",
" | > postnet_ssim_loss: 0.44955 (0.44955)\n",
" | > loss: 8.81166 (8.81166)\n",
" | > align_error: 0.97079 (0.97079)\n",
" | > max_spec_length: 322.0\n",
" | > max_text_length: 57.0\n",
" | > step_time: 2.6503\n",
" | > loader_time: 2.24\n",
" | > current_lr: 0.00041875\n",
"\n",
"\u001b[1m --> STEP: 25/30 -- GLOBAL_STEP: 1700\u001b[0m\n",
" | > decoder_loss: 7.58906 (7.52642)\n",
" | > postnet_loss: 8.11258 (8.21187)\n",
" | > stopnet_loss: 12.21152 (11.95376)\n",
" | > decoder_coarse_loss: 4.64353 (4.66352)\n",
" | > decoder_ddc_loss: 0.00706 (0.01164)\n",
" | > ga_loss: 0.00195 (0.00345)\n",
" | > decoder_diff_spec_loss: 5.84241 (5.67539)\n",
" | > postnet_diff_spec_loss: 9.43311 (9.27727)\n",
" | > decoder_ssim_loss: 0.52752 (0.57430)\n",
" | > postnet_ssim_loss: 0.52568 (0.57201)\n",
" | > loss: 9.17998 (9.14534)\n",
" | > align_error: 0.98962 (0.98353)\n",
" | > max_spec_length: 1027.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.8048\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00042500000000000003\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.93 sec -- GLOBAL_STEP: 1705\u001b[0m\n",
" | > avg_decoder_loss: 7.51496\n",
" | > avg_postnet_loss: 8.22157\n",
" | > avg_stopnet_loss: 11.94516\n",
" | > avg_decoder_coarse_loss: 4.65625\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.66994\n",
" | > avg_postnet_diff_spec_loss: 9.33396\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56082\n",
" | > avg_loss: 9.15030\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.01802\n",
" | > avg_step_time: 1.70942\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54569 \u001b[0m(+0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 5.52837 \u001b[0m(-0.00921)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91743 \u001b[0m(+0.00003)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70608 \u001b[0m(+0.00006)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98282 \u001b[0m(+0.00037)\n",
" | > avg_decoder_ssim_loss: 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80472 \u001b[0m(-0.00008)\n",
" | > avg_loss:\u001b[92m 7.78000 \u001b[0m(-0.00221)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 55/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:39:55) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 19/30 -- GLOBAL_STEP: 1725\u001b[0m\n",
" | > decoder_loss: 7.57891 (7.50357)\n",
" | > postnet_loss: 8.30637 (8.17810)\n",
" | > stopnet_loss: 12.10805 (11.87780)\n",
" | > decoder_coarse_loss: 4.64668 (4.66795)\n",
" | > decoder_ddc_loss: 0.00905 (0.01295)\n",
" | > ga_loss: 0.00243 (0.00390)\n",
" | > decoder_diff_spec_loss: 5.81519 (5.62093)\n",
" | > postnet_diff_spec_loss: 9.31904 (9.24227)\n",
" | > decoder_ssim_loss: 0.62642 (0.56129)\n",
" | > postnet_ssim_loss: 0.62461 (0.55888)\n",
" | > loss: 9.24373 (9.10597)\n",
" | > align_error: 0.98712 (0.98172)\n",
" | > max_spec_length: 806.0\n",
" | > max_text_length: 142.0\n",
" | > step_time: 1.9068\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00043125000000000005\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.37 sec -- GLOBAL_STEP: 1736\u001b[0m\n",
" | > avg_decoder_loss: 7.51607\n",
" | > avg_postnet_loss: 8.22414\n",
" | > avg_stopnet_loss: 11.94661\n",
" | > avg_decoder_coarse_loss: 4.65605\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.67232\n",
" | > avg_postnet_diff_spec_loss: 9.33488\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.15202\n",
" | > avg_align_error: 0.98379\n",
" | > avg_loader_time: 0.01951\n",
" | > avg_step_time: 1.72739\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54566 \u001b[0m(-0.00003)\n",
" | > avg_postnet_loss:\u001b[91m 5.52974 \u001b[0m(+0.00137)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91739 \u001b[0m(-0.00004)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.70599 \u001b[0m(-0.00009)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98257 \u001b[0m(-0.00025)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80478 \u001b[0m(+0.00006)\n",
" | > avg_loss:\u001b[91m 7.78027 \u001b[0m(+0.00027)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 56/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:41:06) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 13/30 -- GLOBAL_STEP: 1750\u001b[0m\n",
" | > decoder_loss: 7.56512 (7.46939)\n",
" | > postnet_loss: 8.29680 (8.14588)\n",
" | > stopnet_loss: 12.04412 (11.77154)\n",
" | > decoder_coarse_loss: 4.65762 (4.67503)\n",
" | > decoder_ddc_loss: 0.01053 (0.01453)\n",
" | > ga_loss: 0.00290 (0.00450)\n",
" | > decoder_diff_spec_loss: 5.76332 (5.53904)\n",
" | > postnet_diff_spec_loss: 9.27722 (9.18756)\n",
" | > decoder_ssim_loss: 0.62018 (0.54981)\n",
" | > postnet_ssim_loss: 0.61822 (0.54718)\n",
" | > loss: 9.21677 (9.05461)\n",
" | > align_error: 0.98507 (0.97963)\n",
" | > max_spec_length: 695.0\n",
" | > max_text_length: 121.0\n",
" | > step_time: 1.9692\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00043749999999999995\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.94 sec -- GLOBAL_STEP: 1767\u001b[0m\n",
" | > avg_decoder_loss: 7.51469\n",
" | > avg_postnet_loss: 8.22102\n",
" | > avg_stopnet_loss: 11.94715\n",
" | > avg_decoder_coarse_loss: 4.65615\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.66914\n",
" | > avg_postnet_diff_spec_loss: 9.33238\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56085\n",
" | > avg_loss: 9.14948\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01934\n",
" | > avg_step_time: 1.71351\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54567 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 5.53107 \u001b[0m(+0.00133)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91739 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70602 \u001b[0m(+0.00003)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98286 \u001b[0m(+0.00030)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80477 \u001b[0m(-0.00001)\n",
" | > avg_loss:\u001b[91m 7.78068 \u001b[0m(+0.00041)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 57/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:42:16) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 7/30 -- GLOBAL_STEP: 1775\u001b[0m\n",
" | > decoder_loss: 7.48202 (7.40884)\n",
" | > postnet_loss: 7.86076 (7.99864)\n",
" | > stopnet_loss: 11.93529 (11.62743)\n",
" | > decoder_coarse_loss: 4.68245 (4.68171)\n",
" | > decoder_ddc_loss: 0.01608 (0.01703)\n",
" | > ga_loss: 0.00471 (0.00554)\n",
" | > decoder_diff_spec_loss: 5.55236 (5.40609)\n",
" | > postnet_diff_spec_loss: 9.46863 (9.13672)\n",
" | > decoder_ssim_loss: 0.36066 (0.48648)\n",
" | > postnet_ssim_loss: 0.35799 (0.48340)\n",
" | > loss: 8.96876 (8.93245)\n",
" | > align_error: 0.97713 (0.97591)\n",
" | > max_spec_length: 570.0\n",
" | > max_text_length: 80.0\n",
" | > step_time: 1.4449\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00044374999999999997\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.83 sec -- GLOBAL_STEP: 1798\u001b[0m\n",
" | > avg_decoder_loss: 7.51561\n",
" | > avg_postnet_loss: 8.21854\n",
" | > avg_stopnet_loss: 11.94573\n",
" | > avg_decoder_coarse_loss: 4.65605\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67082\n",
" | > avg_postnet_diff_spec_loss: 9.33168\n",
" | > avg_decoder_ssim_loss: 0.56310\n",
" | > avg_postnet_ssim_loss: 0.56083\n",
" | > avg_loss: 9.14934\n",
" | > avg_align_error: 0.98379\n",
" | > avg_loader_time: 0.01796\n",
" | > avg_step_time: 1.70968\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54567 \u001b[0m(-0.00000)\n",
" | > avg_postnet_loss:\u001b[91m 5.54038 \u001b[0m(+0.00931)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91740 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65759 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70603 \u001b[0m(+0.00000)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98272 \u001b[0m(-0.00014)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80481 \u001b[0m(+0.00004)\n",
" | > avg_loss:\u001b[91m 7.78298 \u001b[0m(+0.00230)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 58/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:43:27) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 1/30 -- GLOBAL_STEP: 1800\u001b[0m\n",
" | > decoder_loss: 7.32209 (7.32209)\n",
" | > postnet_loss: 7.79131 (7.79131)\n",
" | > stopnet_loss: 11.56000 (11.56000)\n",
" | > decoder_coarse_loss: 4.68590 (4.68590)\n",
" | > decoder_ddc_loss: 0.02011 (0.02011)\n",
" | > ga_loss: 0.00674 (0.00674)\n",
" | > decoder_diff_spec_loss: 5.22803 (5.22803)\n",
" | > postnet_diff_spec_loss: 9.19809 (9.19809)\n",
" | > decoder_ssim_loss: 0.36316 (0.36316)\n",
" | > postnet_ssim_loss: 0.35975 (0.35975)\n",
" | > loss: 8.77582 (8.77582)\n",
" | > align_error: 0.97050 (0.97050)\n",
" | > max_spec_length: 364.0\n",
" | > max_text_length: 58.0\n",
" | > step_time: 1.9029\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00045\n",
"\n",
"\u001b[1m --> STEP: 26/30 -- GLOBAL_STEP: 1825\u001b[0m\n",
" | > decoder_loss: 7.60541 (7.52906)\n",
" | > postnet_loss: 8.35658 (8.21735)\n",
" | > stopnet_loss: 12.21452 (11.96041)\n",
" | > decoder_coarse_loss: 4.64420 (4.66293)\n",
" | > decoder_ddc_loss: 0.00716 (0.01148)\n",
" | > ga_loss: 0.00187 (0.00339)\n",
" | > decoder_diff_spec_loss: 5.86946 (5.68223)\n",
" | > postnet_diff_spec_loss: 9.35892 (9.28087)\n",
" | > decoder_ssim_loss: 0.64238 (0.57692)\n",
" | > postnet_ssim_loss: 0.64070 (0.57468)\n",
" | > loss: 9.29055 (9.15082)\n",
" | > align_error: 0.98979 (0.98377)\n",
" | > max_spec_length: 1002.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.7586\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00045625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.85 sec -- GLOBAL_STEP: 1829\u001b[0m\n",
" | > avg_decoder_loss: 7.51464\n",
" | > avg_postnet_loss: 8.22083\n",
" | > avg_stopnet_loss: 11.94316\n",
" | > avg_decoder_coarse_loss: 4.65626\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.66954\n",
" | > avg_postnet_diff_spec_loss: 9.33267\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.14963\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.02087\n",
" | > avg_step_time: 1.71440\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54568 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 5.53486 \u001b[0m(-0.00552)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91741 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00002)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70605 \u001b[0m(+0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98242 \u001b[0m(-0.00030)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80479 \u001b[0m(-0.00002)\n",
" | > avg_loss:\u001b[92m 7.78153 \u001b[0m(-0.00145)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 59/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:44:38) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 20/30 -- GLOBAL_STEP: 1850\u001b[0m\n",
" | > decoder_loss: 7.59813 (7.50749)\n",
" | > postnet_loss: 8.36032 (8.18749)\n",
" | > stopnet_loss: 12.17627 (11.89329)\n",
" | > decoder_coarse_loss: 4.64639 (4.66708)\n",
" | > decoder_ddc_loss: 0.00777 (0.01268)\n",
" | > ga_loss: 0.00209 (0.00381)\n",
" | > decoder_diff_spec_loss: 5.85164 (5.63061)\n",
" | > postnet_diff_spec_loss: 9.34058 (9.24773)\n",
" | > decoder_ssim_loss: 0.64374 (0.56541)\n",
" | > postnet_ssim_loss: 0.64202 (0.56304)\n",
" | > loss: 9.28312 (9.11443)\n",
" | > align_error: 0.98884 (0.98208)\n",
" | > max_spec_length: 918.0\n",
" | > max_text_length: 164.0\n",
" | > step_time: 2.3279\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.0004625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.42 sec -- GLOBAL_STEP: 1860\u001b[0m\n",
" | > avg_decoder_loss: 7.51533\n",
" | > avg_postnet_loss: 8.22233\n",
" | > avg_stopnet_loss: 11.94815\n",
" | > avg_decoder_coarse_loss: 4.65614\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67072\n",
" | > avg_postnet_diff_spec_loss: 9.33431\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.15087\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.01642\n",
" | > avg_step_time: 1.72660\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54569 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 5.53721 \u001b[0m(+0.00235)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91743 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70608 \u001b[0m(+0.00003)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98342 \u001b[0m(+0.00100)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80481 \u001b[0m(+0.00002)\n",
" | > avg_loss:\u001b[91m 7.78238 \u001b[0m(+0.00085)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 60/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:45:50) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 14/30 -- GLOBAL_STEP: 1875\u001b[0m\n",
" | > decoder_loss: 7.55516 (7.47704)\n",
" | > postnet_loss: 8.13948 (8.14202)\n",
" | > stopnet_loss: 12.06832 (11.79269)\n",
" | > decoder_coarse_loss: 4.65487 (4.67355)\n",
" | > decoder_ddc_loss: 0.01103 (0.01426)\n",
" | > ga_loss: 0.00290 (0.00440)\n",
" | > decoder_diff_spec_loss: 5.75030 (5.55760)\n",
" | > postnet_diff_spec_loss: 9.32761 (9.20001)\n",
" | > decoder_ssim_loss: 0.54885 (0.54974)\n",
" | > postnet_ssim_loss: 0.54680 (0.54713)\n",
" | > loss: 9.14800 (9.06232)\n",
" | > align_error: 0.98459 (0.97995)\n",
" | > max_spec_length: 719.0\n",
" | > max_text_length: 119.0\n",
" | > step_time: 1.8587\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00046875000000000004\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.12 sec -- GLOBAL_STEP: 1891\u001b[0m\n",
" | > avg_decoder_loss: 7.51564\n",
" | > avg_postnet_loss: 8.22078\n",
" | > avg_stopnet_loss: 11.94671\n",
" | > avg_decoder_coarse_loss: 4.65625\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.67149\n",
" | > avg_postnet_diff_spec_loss: 9.33486\n",
" | > avg_decoder_ssim_loss: 0.56310\n",
" | > avg_postnet_ssim_loss: 0.56083\n",
" | > avg_loss: 9.15090\n",
" | > avg_align_error: 0.98378\n",
" | > avg_loader_time: 0.01829\n",
" | > avg_step_time: 1.71582\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54568 \u001b[0m(-0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 5.53207 \u001b[0m(-0.00515)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91740 \u001b[0m(-0.00003)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.70604 \u001b[0m(-0.00004)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98317 \u001b[0m(-0.00024)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80476 \u001b[0m(-0.00005)\n",
" | > avg_loss:\u001b[92m 7.78101 \u001b[0m(-0.00137)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 61/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:47:01) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 8/30 -- GLOBAL_STEP: 1900\u001b[0m\n",
" | > decoder_loss: 7.53340 (7.42323)\n",
" | > postnet_loss: 8.47898 (8.05938)\n",
" | > stopnet_loss: 11.83076 (11.65514)\n",
" | > decoder_coarse_loss: 4.67226 (4.68024)\n",
" | > decoder_ddc_loss: 0.01183 (0.01638)\n",
" | > ga_loss: 0.00346 (0.00527)\n",
" | > decoder_diff_spec_loss: 5.67259 (5.43676)\n",
" | > postnet_diff_spec_loss: 9.18663 (9.13993)\n",
" | > decoder_ssim_loss: 0.69819 (0.51294)\n",
" | > postnet_ssim_loss: 0.69600 (0.51006)\n",
" | > loss: 9.25480 (8.97110)\n",
" | > align_error: 0.98375 (0.97695)\n",
" | > max_spec_length: 495.0\n",
" | > max_text_length: 103.0\n",
" | > step_time: 1.3128\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.000475\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.08 sec -- GLOBAL_STEP: 1922\u001b[0m\n",
" | > avg_decoder_loss: 7.51569\n",
" | > avg_postnet_loss: 8.22060\n",
" | > avg_stopnet_loss: 11.94743\n",
" | > avg_decoder_coarse_loss: 4.65606\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67115\n",
" | > avg_postnet_diff_spec_loss: 9.33155\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.14992\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.02054\n",
" | > avg_step_time: 1.71447\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54568 \u001b[0m(+0.00000)\n",
" | > avg_postnet_loss:\u001b[91m 5.54408 \u001b[0m(+0.01201)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91740 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70605 \u001b[0m(+0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98338 \u001b[0m(+0.00021)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80482 \u001b[0m(+0.00006)\n",
" | > avg_loss:\u001b[91m 7.78408 \u001b[0m(+0.00307)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 62/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:48:12) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 2/30 -- GLOBAL_STEP: 1925\u001b[0m\n",
" | > decoder_loss: 7.30531 (7.31559)\n",
" | > postnet_loss: 7.96860 (7.88393)\n",
" | > stopnet_loss: 11.31096 (11.44139)\n",
" | > decoder_coarse_loss: 4.67999 (4.68274)\n",
" | > decoder_ddc_loss: 0.01891 (0.01950)\n",
" | > ga_loss: 0.00685 (0.00680)\n",
" | > decoder_diff_spec_loss: 5.20848 (5.22169)\n",
" | > postnet_diff_spec_loss: 8.92483 (9.06207)\n",
" | > decoder_ssim_loss: 0.49780 (0.43049)\n",
" | > postnet_ssim_loss: 0.49431 (0.42702)\n",
" | > loss: 8.80879 (8.79477)\n",
" | > align_error: 0.97262 (0.97155)\n",
" | > max_spec_length: 296.0\n",
" | > max_text_length: 58.0\n",
" | > step_time: 1.7051\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00048125\n",
"\n",
"\u001b[1m --> STEP: 27/30 -- GLOBAL_STEP: 1950\u001b[0m\n",
" | > decoder_loss: 7.61064 (7.53328)\n",
" | > postnet_loss: 8.22214 (8.21879)\n",
" | > stopnet_loss: 12.23949 (11.97410)\n",
" | > decoder_coarse_loss: 4.64911 (4.66230)\n",
" | > decoder_ddc_loss: 0.00718 (0.01131)\n",
" | > ga_loss: 0.00194 (0.00333)\n",
" | > decoder_diff_spec_loss: 5.87064 (5.69135)\n",
" | > postnet_diff_spec_loss: 9.42284 (9.28613)\n",
" | > decoder_ssim_loss: 0.57449 (0.57682)\n",
" | > postnet_ssim_loss: 0.57273 (0.57459)\n",
" | > loss: 9.24212 (9.15532)\n",
" | > align_error: 0.98945 (0.98399)\n",
" | > max_spec_length: 1075.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.9098\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0004875\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 58.52 sec -- GLOBAL_STEP: 1953\u001b[0m\n",
" | > avg_decoder_loss: 7.51571\n",
" | > avg_postnet_loss: 8.22264\n",
" | > avg_stopnet_loss: 11.94587\n",
" | > avg_decoder_coarse_loss: 4.65612\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.67127\n",
" | > avg_postnet_diff_spec_loss: 9.33421\n",
" | > avg_decoder_ssim_loss: 0.56310\n",
" | > avg_postnet_ssim_loss: 0.56083\n",
" | > avg_loss: 9.15113\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.02087\n",
" | > avg_step_time: 1.86702\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54567 \u001b[0m(-0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 5.54249 \u001b[0m(-0.00159)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91741 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.70604 \u001b[0m(-0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98250 \u001b[0m(-0.00088)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80483 \u001b[0m(+0.00000)\n",
" | > avg_loss:\u001b[92m 7.78346 \u001b[0m(-0.00062)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 63/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:49:28) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 21/30 -- GLOBAL_STEP: 1975\u001b[0m\n",
" | > decoder_loss: 7.60310 (7.51298)\n",
" | > postnet_loss: 8.47773 (8.19977)\n",
" | > stopnet_loss: 12.16417 (11.90718)\n",
" | > decoder_coarse_loss: 4.64827 (4.66613)\n",
" | > decoder_ddc_loss: 0.00726 (0.01244)\n",
" | > ga_loss: 0.00212 (0.00373)\n",
" | > decoder_diff_spec_loss: 5.85762 (5.64350)\n",
" | > postnet_diff_spec_loss: 9.35222 (9.25315)\n",
" | > decoder_ssim_loss: 0.68605 (0.57116)\n",
" | > postnet_ssim_loss: 0.68430 (0.56880)\n",
" | > loss: 9.33972 (9.12561)\n",
" | > align_error: 0.98956 (0.98246)\n",
" | > max_spec_length: 889.0\n",
" | > max_text_length: 173.0\n",
" | > step_time: 1.9614\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0004937499999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.73 sec -- GLOBAL_STEP: 1984\u001b[0m\n",
" | > avg_decoder_loss: 7.51576\n",
" | > avg_postnet_loss: 8.22111\n",
" | > avg_stopnet_loss: 11.94593\n",
" | > avg_decoder_coarse_loss: 4.65616\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.67155\n",
" | > avg_postnet_diff_spec_loss: 9.33477\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56083\n",
" | > avg_loss: 9.15099\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01849\n",
" | > avg_step_time: 1.74218\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54568 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 5.53188 \u001b[0m(-0.01061)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91743 \u001b[0m(+0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70606 \u001b[0m(+0.00003)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98243 \u001b[0m(-0.00007)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80476 \u001b[0m(-0.00007)\n",
" | > avg_loss:\u001b[92m 7.78078 \u001b[0m(-0.00268)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 64/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:50:39) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 15/30 -- GLOBAL_STEP: 2000\u001b[0m\n",
" | > decoder_loss: 7.55885 (7.48225)\n",
" | > postnet_loss: 8.16804 (8.14915)\n",
" | > stopnet_loss: 12.05749 (11.81434)\n",
" | > decoder_coarse_loss: 4.65102 (4.67214)\n",
" | > decoder_ddc_loss: 0.01037 (0.01400)\n",
" | > ga_loss: 0.00284 (0.00428)\n",
" | > decoder_diff_spec_loss: 5.76582 (5.57102)\n",
" | > postnet_diff_spec_loss: 9.31082 (9.21136)\n",
" | > decoder_ssim_loss: 0.57219 (0.55124)\n",
" | > postnet_ssim_loss: 0.57023 (0.54868)\n",
" | > loss: 9.16603 (9.07138)\n",
" | > align_error: 0.98534 (0.98033)\n",
" | > max_spec_length: 725.0\n",
" | > max_text_length: 124.0\n",
" | > step_time: 1.7075\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0005\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 55.26 sec -- GLOBAL_STEP: 2015\u001b[0m\n",
" | > avg_decoder_loss: 7.51588\n",
" | > avg_postnet_loss: 8.22276\n",
" | > avg_stopnet_loss: 11.94754\n",
" | > avg_decoder_coarse_loss: 4.65610\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.67155\n",
" | > avg_postnet_diff_spec_loss: 9.33729\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.15203\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.02054\n",
" | > avg_step_time: 1.75676\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54567 \u001b[0m(-0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 5.52609 \u001b[0m(-0.00579)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91740 \u001b[0m(-0.00003)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.70602 \u001b[0m(-0.00005)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98263 \u001b[0m(+0.00020)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80474 \u001b[0m(-0.00002)\n",
" | > avg_loss:\u001b[92m 7.77937 \u001b[0m(-0.00141)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 65/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:51:52) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 9/30 -- GLOBAL_STEP: 2025\u001b[0m\n",
" | > decoder_loss: 7.53770 (7.43586)\n",
" | > postnet_loss: 7.95737 (8.05147)\n",
" | > stopnet_loss: 12.05672 (11.70026)\n",
" | > decoder_coarse_loss: 4.67188 (4.67895)\n",
" | > decoder_ddc_loss: 0.01236 (0.01594)\n",
" | > ga_loss: 0.00351 (0.00508)\n",
" | > decoder_diff_spec_loss: 5.68415 (5.46460)\n",
" | > postnet_diff_spec_loss: 9.42289 (9.17831)\n",
" | > decoder_ssim_loss: 0.43812 (0.50463)\n",
" | > postnet_ssim_loss: 0.43584 (0.50173)\n",
" | > loss: 9.05765 (8.98326)\n",
" | > align_error: 0.98234 (0.97758)\n",
" | > max_spec_length: 684.0\n",
" | > max_text_length: 104.0\n",
" | > step_time: 1.7421\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00050625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.19 sec -- GLOBAL_STEP: 2046\u001b[0m\n",
" | > avg_decoder_loss: 7.51506\n",
" | > avg_postnet_loss: 8.22454\n",
" | > avg_stopnet_loss: 11.94589\n",
" | > avg_decoder_coarse_loss: 4.65580\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.67031\n",
" | > avg_postnet_diff_spec_loss: 9.33680\n",
" | > avg_decoder_ssim_loss: 0.56310\n",
" | > avg_postnet_ssim_loss: 0.56082\n",
" | > avg_loss: 9.15177\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01860\n",
" | > avg_step_time: 1.72227\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54568 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 5.54383 \u001b[0m(+0.01774)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91740 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70603 \u001b[0m(+0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98255 \u001b[0m(-0.00008)\n",
" | > avg_decoder_ssim_loss: 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80483 \u001b[0m(+0.00009)\n",
" | > avg_loss:\u001b[91m 7.78381 \u001b[0m(+0.00444)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 66/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:53:03) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 3/30 -- GLOBAL_STEP: 2050\u001b[0m\n",
" | > decoder_loss: 7.30161 (7.30978)\n",
" | > postnet_loss: 7.87865 (7.87609)\n",
" | > stopnet_loss: 11.35416 (11.41828)\n",
" | > decoder_coarse_loss: 4.68897 (4.68434)\n",
" | > decoder_ddc_loss: 0.01968 (0.01962)\n",
" | > ga_loss: 0.00671 (0.00677)\n",
" | > decoder_diff_spec_loss: 5.17752 (5.20453)\n",
" | > postnet_diff_spec_loss: 8.92113 (9.01072)\n",
" | > decoder_ssim_loss: 0.45873 (0.43990)\n",
" | > postnet_ssim_loss: 0.45504 (0.43639)\n",
" | > loss: 8.75889 (8.77921)\n",
" | > align_error: 0.97292 (0.97209)\n",
" | > max_spec_length: 303.0\n",
" | > max_text_length: 58.0\n",
" | > step_time: 1.2151\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.0005124999999999999\n",
"\n",
"\u001b[1m --> STEP: 28/30 -- GLOBAL_STEP: 2075\u001b[0m\n",
" | > decoder_loss: 7.52377 (7.53231)\n",
" | > postnet_loss: 7.79743 (8.20048)\n",
" | > stopnet_loss: 12.21732 (11.98289)\n",
" | > decoder_coarse_loss: 4.62524 (4.66112)\n",
" | > decoder_ddc_loss: 0.00610 (0.01113)\n",
" | > ga_loss: 0.00210 (0.00329)\n",
" | > decoder_diff_spec_loss: 5.76372 (5.69283)\n",
" | > postnet_diff_spec_loss: 9.91202 (9.30576)\n",
" | > decoder_ssim_loss: 0.27378 (0.56600)\n",
" | > postnet_ssim_loss: 0.27168 (0.56377)\n",
" | > loss: 9.05394 (9.14981)\n",
" | > align_error: 0.98921 (0.98417)\n",
" | > max_spec_length: 1026.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.7943\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00051875\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.55 sec -- GLOBAL_STEP: 2077\u001b[0m\n",
" | > avg_decoder_loss: 7.51521\n",
" | > avg_postnet_loss: 8.22042\n",
" | > avg_stopnet_loss: 11.94658\n",
" | > avg_decoder_coarse_loss: 4.65633\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67051\n",
" | > avg_postnet_diff_spec_loss: 9.33266\n",
" | > avg_decoder_ssim_loss: 0.56310\n",
" | > avg_postnet_ssim_loss: 0.56082\n",
" | > avg_loss: 9.14993\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.01887\n",
" | > avg_step_time: 1.73081\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54566 \u001b[0m(-0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 5.53505 \u001b[0m(-0.00878)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91739 \u001b[0m(-0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.70600 \u001b[0m(-0.00004)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98209 \u001b[0m(-0.00046)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80479 \u001b[0m(-0.00004)\n",
" | > avg_loss:\u001b[92m 7.78148 \u001b[0m(-0.00233)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 67/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:54:14) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 22/30 -- GLOBAL_STEP: 2100\u001b[0m\n",
" | > decoder_loss: 7.61171 (7.51721)\n",
" | > postnet_loss: 8.67225 (8.22365)\n",
" | > stopnet_loss: 12.11650 (11.91474)\n",
" | > decoder_coarse_loss: 4.66164 (4.66591)\n",
" | > decoder_ddc_loss: 0.00765 (0.01223)\n",
" | > ga_loss: 0.00207 (0.00365)\n",
" | > decoder_diff_spec_loss: 5.84786 (5.65156)\n",
" | > postnet_diff_spec_loss: 9.36775 (9.25714)\n",
" | > decoder_ssim_loss: 0.74648 (0.57913)\n",
" | > postnet_ssim_loss: 0.74480 (0.57681)\n",
" | > loss: 9.42538 (9.13914)\n",
" | > align_error: 0.98934 (0.98276)\n",
" | > max_spec_length: 821.0\n",
" | > max_text_length: 165.0\n",
" | > step_time: 1.7405\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.000525\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.49 sec -- GLOBAL_STEP: 2108\u001b[0m\n",
" | > avg_decoder_loss: 7.51579\n",
" | > avg_postnet_loss: 8.22241\n",
" | > avg_stopnet_loss: 11.94421\n",
" | > avg_decoder_coarse_loss: 4.65614\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.67146\n",
" | > avg_postnet_diff_spec_loss: 9.33345\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.15095\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01885\n",
" | > avg_step_time: 1.73119\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54566 \u001b[0m(+0.00000)\n",
" | > avg_postnet_loss:\u001b[91m 5.53601 \u001b[0m(+0.00097)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91739 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01190 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70601 \u001b[0m(+0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98283 \u001b[0m(+0.00075)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80479 \u001b[0m(+0.00001)\n",
" | > avg_loss:\u001b[91m 7.78191 \u001b[0m(+0.00043)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 68/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:55:25) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 16/30 -- GLOBAL_STEP: 2125\u001b[0m\n",
" | > decoder_loss: 7.58069 (7.48851)\n",
" | > postnet_loss: 8.66840 (8.17698)\n",
" | > stopnet_loss: 12.03041 (11.82344)\n",
" | > decoder_coarse_loss: 4.65531 (4.67091)\n",
" | > decoder_ddc_loss: 0.00924 (0.01371)\n",
" | > ga_loss: 0.00241 (0.00417)\n",
" | > decoder_diff_spec_loss: 5.79769 (5.58544)\n",
" | > postnet_diff_spec_loss: 9.29979 (9.21180)\n",
" | > decoder_ssim_loss: 0.75963 (0.56426)\n",
" | > postnet_ssim_loss: 0.75774 (0.56175)\n",
" | > loss: 9.39420 (9.08921)\n",
" | > align_error: 0.98738 (0.98076)\n",
" | > max_spec_length: 682.0\n",
" | > max_text_length: 139.0\n",
" | > step_time: 2.0042\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00053125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.95 sec -- GLOBAL_STEP: 2139\u001b[0m\n",
" | > avg_decoder_loss: 7.51604\n",
" | > avg_postnet_loss: 8.21929\n",
" | > avg_stopnet_loss: 11.94635\n",
" | > avg_decoder_coarse_loss: 4.65630\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67232\n",
" | > avg_postnet_diff_spec_loss: 9.33469\n",
" | > avg_decoder_ssim_loss: 0.56310\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.15081\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01654\n",
" | > avg_step_time: 1.74259\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54567 \u001b[0m(+0.00000)\n",
" | > avg_postnet_loss:\u001b[92m 5.53403 \u001b[0m(-0.00198)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91739 \u001b[0m(-0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65760 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70601 \u001b[0m(+0.00000)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98251 \u001b[0m(-0.00032)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80480 \u001b[0m(+0.00001)\n",
" | > avg_loss:\u001b[92m 7.78134 \u001b[0m(-0.00057)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 69/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:56:37) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 10/30 -- GLOBAL_STEP: 2150\u001b[0m\n",
" | > decoder_loss: 7.52105 (7.44561)\n",
" | > postnet_loss: 8.48989 (8.09739)\n",
" | > stopnet_loss: 11.82101 (11.71164)\n",
" | > decoder_coarse_loss: 4.66597 (4.67827)\n",
" | > decoder_ddc_loss: 0.01211 (0.01560)\n",
" | > ga_loss: 0.00358 (0.00492)\n",
" | > decoder_diff_spec_loss: 5.65790 (5.48568)\n",
" | > postnet_diff_spec_loss: 9.16667 (9.18125)\n",
" | > decoder_ssim_loss: 0.70885 (0.52505)\n",
" | > postnet_ssim_loss: 0.70659 (0.52227)\n",
" | > loss: 9.25014 (9.01240)\n",
" | > align_error: 0.98339 (0.97812)\n",
" | > max_spec_length: 484.0\n",
" | > max_text_length: 101.0\n",
" | > step_time: 1.2941\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.0005375\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.83 sec -- GLOBAL_STEP: 2170\u001b[0m\n",
" | > avg_decoder_loss: 7.51603\n",
" | > avg_postnet_loss: 8.22503\n",
" | > avg_stopnet_loss: 11.94718\n",
" | > avg_decoder_coarse_loss: 4.65609\n",
" | > avg_decoder_ddc_loss: 0.01158\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.67177\n",
" | > avg_postnet_diff_spec_loss: 9.33864\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.15303\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01899\n",
" | > avg_step_time: 1.70733\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54569 \u001b[0m(+0.00003)\n",
" | > avg_postnet_loss:\u001b[91m 5.53551 \u001b[0m(+0.00147)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91741 \u001b[0m(+0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70608 \u001b[0m(+0.00007)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98268 \u001b[0m(+0.00017)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80480 \u001b[0m(+0.00000)\n",
" | > avg_loss:\u001b[91m 7.78177 \u001b[0m(+0.00043)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 70/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:57:48) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 4/30 -- GLOBAL_STEP: 2175\u001b[0m\n",
" | > decoder_loss: 7.47853 (7.35286)\n",
" | > postnet_loss: 8.11045 (7.92241)\n",
" | > stopnet_loss: 11.75048 (11.49977)\n",
" | > decoder_coarse_loss: 4.67729 (4.68234)\n",
" | > decoder_ddc_loss: 0.01519 (0.01849)\n",
" | > ga_loss: 0.00462 (0.00625)\n",
" | > decoder_diff_spec_loss: 5.55295 (5.29412)\n",
" | > postnet_diff_spec_loss: 9.15827 (9.05698)\n",
" | > decoder_ssim_loss: 0.54367 (0.46585)\n",
" | > postnet_ssim_loss: 0.54101 (0.46255)\n",
" | > loss: 9.04246 (8.84513)\n",
" | > align_error: 0.97924 (0.97384)\n",
" | > max_spec_length: 451.0\n",
" | > max_text_length: 81.0\n",
" | > step_time: 1.3832\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0005437500000000001\n",
"\n",
"\u001b[1m --> STEP: 29/30 -- GLOBAL_STEP: 2200\u001b[0m\n",
" | > decoder_loss: 7.30075 (7.52481)\n",
" | > postnet_loss: 7.73063 (8.18412)\n",
" | > stopnet_loss: 12.12263 (11.99012)\n",
" | > decoder_coarse_loss: 4.59918 (4.65883)\n",
" | > decoder_ddc_loss: 0.00525 (0.01092)\n",
" | > ga_loss: 0.00526 (0.00336)\n",
" | > decoder_diff_spec_loss: 5.39785 (5.68370)\n",
" | > postnet_diff_spec_loss: 10.33612 (9.34131)\n",
" | > decoder_ssim_loss: 0.04633 (0.54808)\n",
" | > postnet_ssim_loss: 0.04431 (0.54587)\n",
" | > loss: 8.89142 (9.14122)\n",
" | > align_error: 0.98820 (0.98432)\n",
" | > max_spec_length: 798.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.3955\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00055\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.35 sec -- GLOBAL_STEP: 2201\u001b[0m\n",
" | > avg_decoder_loss: 7.51567\n",
" | > avg_postnet_loss: 8.21859\n",
" | > avg_stopnet_loss: 11.94739\n",
" | > avg_decoder_coarse_loss: 4.65614\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67140\n",
" | > avg_postnet_diff_spec_loss: 9.33166\n",
" | > avg_decoder_ssim_loss: 0.56310\n",
" | > avg_postnet_ssim_loss: 0.56085\n",
" | > avg_loss: 9.14952\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01788\n",
" | > avg_step_time: 1.72596\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54567 \u001b[0m(-0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 5.53271 \u001b[0m(-0.00279)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91739 \u001b[0m(-0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.70602 \u001b[0m(-0.00006)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98217 \u001b[0m(-0.00051)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80480 \u001b[0m(-0.00000)\n",
" | > avg_loss:\u001b[92m 7.78093 \u001b[0m(-0.00084)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 71/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 11:58:59) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 23/30 -- GLOBAL_STEP: 2225\u001b[0m\n",
" | > decoder_loss: 7.60615 (7.52089)\n",
" | > postnet_loss: 8.14699 (8.21291)\n",
" | > stopnet_loss: 12.22153 (11.92786)\n",
" | > decoder_coarse_loss: 4.65411 (4.66551)\n",
" | > decoder_ddc_loss: 0.00795 (0.01203)\n",
" | > ga_loss: 0.00211 (0.00359)\n",
" | > decoder_diff_spec_loss: 5.85173 (5.66002)\n",
" | > postnet_diff_spec_loss: 9.43132 (9.26044)\n",
" | > decoder_ssim_loss: 0.53957 (0.57741)\n",
" | > postnet_ssim_loss: 0.53775 (0.57510)\n",
" | > loss: 9.20443 (9.13902)\n",
" | > align_error: 0.98833 (0.98302)\n",
" | > max_spec_length: 1043.0\n",
" | > max_text_length: 164.0\n",
" | > step_time: 1.8021\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00055625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 58.78 sec -- GLOBAL_STEP: 2232\u001b[0m\n",
" | > avg_decoder_loss: 7.51507\n",
" | > avg_postnet_loss: 8.21804\n",
" | > avg_stopnet_loss: 11.94450\n",
" | > avg_decoder_coarse_loss: 4.65616\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.66988\n",
" | > avg_postnet_diff_spec_loss: 9.33120\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.14876\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.02101\n",
" | > avg_step_time: 1.87588\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54566 \u001b[0m(-0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 5.54206 \u001b[0m(+0.00934)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91738 \u001b[0m(-0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65762 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.70600 \u001b[0m(-0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98268 \u001b[0m(+0.00050)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80485 \u001b[0m(+0.00005)\n",
" | > avg_loss:\u001b[91m 7.78340 \u001b[0m(+0.00247)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 72/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:00:15) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 17/30 -- GLOBAL_STEP: 2250\u001b[0m\n",
" | > decoder_loss: 7.58898 (7.49366)\n",
" | > postnet_loss: 8.02580 (8.17037)\n",
" | > stopnet_loss: 12.17663 (11.84313)\n",
" | > decoder_coarse_loss: 4.66026 (4.67038)\n",
" | > decoder_ddc_loss: 0.00899 (0.01341)\n",
" | > ga_loss: 0.00243 (0.00407)\n",
" | > decoder_diff_spec_loss: 5.80432 (5.59694)\n",
" | > postnet_diff_spec_loss: 9.48850 (9.22889)\n",
" | > decoder_ssim_loss: 0.46777 (0.55859)\n",
" | > postnet_ssim_loss: 0.46577 (0.55608)\n",
" | > loss: 9.13972 (9.09244)\n",
" | > align_error: 0.98677 (0.98112)\n",
" | > max_spec_length: 946.0\n",
" | > max_text_length: 144.0\n",
" | > step_time: 2.3893\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.0005625000000000001\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.42 sec -- GLOBAL_STEP: 2263\u001b[0m\n",
" | > avg_decoder_loss: 7.51526\n",
" | > avg_postnet_loss: 8.22206\n",
" | > avg_stopnet_loss: 11.94350\n",
" | > avg_decoder_coarse_loss: 4.65626\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67065\n",
" | > avg_postnet_diff_spec_loss: 9.33495\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56083\n",
" | > avg_loss: 9.15095\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.02171\n",
" | > avg_step_time: 1.72302\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54567 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 5.53490 \u001b[0m(-0.00715)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91739 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65759 \u001b[0m(-0.00003)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70601 \u001b[0m(+0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98319 \u001b[0m(+0.00051)\n",
" | > avg_decoder_ssim_loss: 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80478 \u001b[0m(-0.00007)\n",
" | > avg_loss:\u001b[92m 7.78172 \u001b[0m(-0.00168)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 73/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:01:26) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 11/30 -- GLOBAL_STEP: 2275\u001b[0m\n",
" | > decoder_loss: 7.52815 (7.45281)\n",
" | > postnet_loss: 8.36925 (8.12545)\n",
" | > stopnet_loss: 11.86374 (11.71975)\n",
" | > decoder_coarse_loss: 4.66859 (4.67741)\n",
" | > decoder_ddc_loss: 0.01212 (0.01526)\n",
" | > ga_loss: 0.00351 (0.00480)\n",
" | > decoder_diff_spec_loss: 5.66633 (5.50153)\n",
" | > postnet_diff_spec_loss: 9.18652 (9.18410)\n",
" | > decoder_ssim_loss: 0.65979 (0.53730)\n",
" | > postnet_ssim_loss: 0.65754 (0.53460)\n",
" | > loss: 9.20461 (9.03111)\n",
" | > align_error: 0.98339 (0.97858)\n",
" | > max_spec_length: 514.0\n",
" | > max_text_length: 102.0\n",
" | > step_time: 1.4870\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.0005687499999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.08 sec -- GLOBAL_STEP: 2294\u001b[0m\n",
" | > avg_decoder_loss: 7.51541\n",
" | > avg_postnet_loss: 8.22583\n",
" | > avg_stopnet_loss: 11.94710\n",
" | > avg_decoder_coarse_loss: 4.65614\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67083\n",
" | > avg_postnet_diff_spec_loss: 9.33819\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56086\n",
" | > avg_loss: 9.15276\n",
" | > avg_align_error: 0.98379\n",
" | > avg_loader_time: 0.01582\n",
" | > avg_step_time: 1.71454\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54568 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 5.52968 \u001b[0m(-0.00523)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91742 \u001b[0m(+0.00003)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65762 \u001b[0m(+0.00002)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70605 \u001b[0m(+0.00004)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98217 \u001b[0m(-0.00102)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80473 \u001b[0m(-0.00004)\n",
" | > avg_loss:\u001b[92m 7.78016 \u001b[0m(-0.00156)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 74/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:02:38) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 5/30 -- GLOBAL_STEP: 2300\u001b[0m\n",
" | > decoder_loss: 7.48876 (7.37882)\n",
" | > postnet_loss: 8.17545 (7.97922)\n",
" | > stopnet_loss: 11.71847 (11.54694)\n",
" | > decoder_coarse_loss: 4.68752 (4.68322)\n",
" | > decoder_ddc_loss: 0.01410 (0.01764)\n",
" | > ga_loss: 0.00451 (0.00589)\n",
" | > decoder_diff_spec_loss: 5.55339 (5.34289)\n",
" | > postnet_diff_spec_loss: 9.13415 (9.07834)\n",
" | > decoder_ssim_loss: 0.57935 (0.48854)\n",
" | > postnet_ssim_loss: 0.57662 (0.48543)\n",
" | > loss: 9.07487 (8.89297)\n",
" | > align_error: 0.98023 (0.97504)\n",
" | > max_spec_length: 435.0\n",
" | > max_text_length: 85.0\n",
" | > step_time: 1.2032\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.000575\n",
"\n",
"\u001b[1m --> STEP: 30/30 -- GLOBAL_STEP: 2325\u001b[0m\n",
" | > decoder_loss: 7.25327 (7.51528)\n",
" | > postnet_loss: 9.21632 (8.22023)\n",
" | > stopnet_loss: 10.76097 (11.94246)\n",
" | > decoder_coarse_loss: 4.57860 (4.65603)\n",
" | > decoder_ddc_loss: 0.02998 (0.01157)\n",
" | > ga_loss: 0.00624 (0.00346)\n",
" | > decoder_diff_spec_loss: 5.31661 (5.67010)\n",
" | > postnet_diff_spec_loss: 9.08889 (9.33697)\n",
" | > decoder_ssim_loss: 0.99879 (0.56311)\n",
" | > postnet_ssim_loss: 0.99501 (0.56085)\n",
" | > loss: 9.40054 (9.15081)\n",
" | > align_error: 0.96921 (0.98380)\n",
" | > max_spec_length: 202.0\n",
" | > max_text_length: 43.0\n",
" | > step_time: 0.3242\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00058125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.71 sec -- GLOBAL_STEP: 2325\u001b[0m\n",
" | > avg_decoder_loss: 7.51528\n",
" | > avg_postnet_loss: 8.22023\n",
" | > avg_stopnet_loss: 11.94246\n",
" | > avg_decoder_coarse_loss: 4.65603\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67010\n",
" | > avg_postnet_diff_spec_loss: 9.33697\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56085\n",
" | > avg_loss: 9.15081\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.01931\n",
" | > avg_step_time: 1.70355\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54568 \u001b[0m(+0.00000)\n",
" | > avg_postnet_loss:\u001b[92m 5.52917 \u001b[0m(-0.00051)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91742 \u001b[0m(-0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70606 \u001b[0m(+0.00000)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98261 \u001b[0m(+0.00044)\n",
" | > avg_decoder_ssim_loss: 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80476 \u001b[0m(+0.00002)\n",
" | > avg_loss:\u001b[92m 7.78015 \u001b[0m(-0.00001)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 75/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:03:48) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 24/30 -- GLOBAL_STEP: 2350\u001b[0m\n",
" | > decoder_loss: 7.60046 (7.52381)\n",
" | > postnet_loss: 8.15662 (8.21536)\n",
" | > stopnet_loss: 12.24922 (11.94201)\n",
" | > decoder_coarse_loss: 4.63814 (4.66443)\n",
" | > decoder_ddc_loss: 0.00730 (0.01182)\n",
" | > ga_loss: 0.00191 (0.00351)\n",
" | > decoder_diff_spec_loss: 5.87136 (5.66841)\n",
" | > postnet_diff_spec_loss: 9.42313 (9.26939)\n",
" | > decoder_ssim_loss: 0.54953 (0.57625)\n",
" | > postnet_ssim_loss: 0.54774 (0.57396)\n",
" | > loss: 9.20811 (9.14342)\n",
" | > align_error: 0.98946 (0.98329)\n",
" | > max_spec_length: 1125.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.9812\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0005875\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.29 sec -- GLOBAL_STEP: 2356\u001b[0m\n",
" | > avg_decoder_loss: 7.51522\n",
" | > avg_postnet_loss: 8.22121\n",
" | > avg_stopnet_loss: 11.94617\n",
" | > avg_decoder_coarse_loss: 4.65624\n",
" | > avg_decoder_ddc_loss: 0.01154\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.67040\n",
" | > avg_postnet_diff_spec_loss: 9.33278\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.15012\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01866\n",
" | > avg_step_time: 1.72728\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54567 \u001b[0m(-0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 5.53504 \u001b[0m(+0.00587)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91740 \u001b[0m(-0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.70603 \u001b[0m(-0.00003)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.98223 \u001b[0m(-0.00038)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81872 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80477 \u001b[0m(+0.00001)\n",
" | > avg_loss:\u001b[91m 7.78152 \u001b[0m(+0.00137)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 76/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:05:00) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 18/30 -- GLOBAL_STEP: 2375\u001b[0m\n",
" | > decoder_loss: 7.58576 (7.49884)\n",
" | > postnet_loss: 8.14252 (8.17046)\n",
" | > stopnet_loss: 12.17063 (11.86237)\n",
" | > decoder_coarse_loss: 4.65431 (4.66931)\n",
" | > decoder_ddc_loss: 0.00882 (0.01318)\n",
" | > ga_loss: 0.00240 (0.00398)\n",
" | > decoder_diff_spec_loss: 5.81210 (5.60888)\n",
" | > postnet_diff_spec_loss: 9.39450 (9.23722)\n",
" | > decoder_ssim_loss: 0.54211 (0.55767)\n",
" | > postnet_ssim_loss: 0.54023 (0.55522)\n",
" | > loss: 9.18209 (9.09760)\n",
" | > align_error: 0.98707 (0.98143)\n",
" | > max_spec_length: 882.0\n",
" | > max_text_length: 144.0\n",
" | > step_time: 2.3219\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00059375\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.04 sec -- GLOBAL_STEP: 2387\u001b[0m\n",
" | > avg_decoder_loss: 7.51513\n",
" | > avg_postnet_loss: 8.22008\n",
" | > avg_stopnet_loss: 11.94604\n",
" | > avg_decoder_coarse_loss: 4.65607\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.66998\n",
" | > avg_postnet_diff_spec_loss: 9.33351\n",
" | > avg_decoder_ssim_loss: 0.56311\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.14985\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.01768\n",
" | > avg_step_time: 1.71760\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54568 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 5.53744 \u001b[0m(+0.00239)\n",
" | > avg_stopnet_loss:\u001b[91m 11.91741 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.70605 \u001b[0m(+0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.98338 \u001b[0m(+0.00115)\n",
" | > avg_decoder_ssim_loss: 0.81872 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.80479 \u001b[0m(+0.00002)\n",
" | > avg_loss:\u001b[91m 7.78241 \u001b[0m(+0.00090)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 77/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:06:10) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 12/30 -- GLOBAL_STEP: 2400\u001b[0m\n",
" | > decoder_loss: 7.56552 (7.46013)\n",
" | > postnet_loss: 8.29073 (8.12375)\n",
" | > stopnet_loss: 12.04400 (11.74498)\n",
" | > decoder_coarse_loss: 4.66366 (4.67595)\n",
" | > decoder_ddc_loss: 0.01035 (0.01484)\n",
" | > ga_loss: 0.00292 (0.00465)\n",
" | > decoder_diff_spec_loss: 5.74434 (5.51477)\n",
" | > postnet_diff_spec_loss: 9.26716 (9.17404)\n",
" | > decoder_ssim_loss: 0.61703 (0.54396)\n",
" | > postnet_ssim_loss: 0.61503 (0.54127)\n",
" | > loss: 9.20806 (9.03544)\n",
" | > align_error: 0.98532 (0.97916)\n",
" | > max_spec_length: 690.0\n",
" | > max_text_length: 122.0\n",
" | > step_time: 1.6548\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0006\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.24 sec -- GLOBAL_STEP: 2418\u001b[0m\n",
" | > avg_decoder_loss: 7.51430\n",
" | > avg_postnet_loss: 8.21383\n",
" | > avg_stopnet_loss: 11.94534\n",
" | > avg_decoder_coarse_loss: 4.65611\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.66295\n",
" | > avg_postnet_diff_spec_loss: 9.32534\n",
" | > avg_decoder_ssim_loss: 0.56312\n",
" | > avg_postnet_ssim_loss: 0.56085\n",
" | > avg_loss: 9.14431\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.01861\n",
" | > avg_step_time: 1.72441\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54460 \u001b[0m(-0.00108)\n",
" | > avg_postnet_loss:\u001b[92m 5.52268 \u001b[0m(-0.01476)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91727 \u001b[0m(-0.00014)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.69692 \u001b[0m(-0.00912)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.97512 \u001b[0m(-0.00826)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81874 \u001b[0m(+0.00002)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80477 \u001b[0m(-0.00002)\n",
" | > avg_loss:\u001b[92m 7.77411 \u001b[0m(-0.00830)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 78/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:07:22) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 6/30 -- GLOBAL_STEP: 2425\u001b[0m\n",
" | > decoder_loss: 7.47298 (7.39512)\n",
" | > postnet_loss: 8.18292 (8.00886)\n",
" | > stopnet_loss: 11.72657 (11.57475)\n",
" | > decoder_coarse_loss: 4.67284 (4.68115)\n",
" | > decoder_ddc_loss: 0.01508 (0.01724)\n",
" | > ga_loss: 0.00462 (0.00568)\n",
" | > decoder_diff_spec_loss: 5.54058 (5.37176)\n",
" | > postnet_diff_spec_loss: 9.06244 (9.06320)\n",
" | > decoder_ssim_loss: 0.60200 (0.50747)\n",
" | > postnet_ssim_loss: 0.59944 (0.50438)\n",
" | > loss: 9.06019 (8.91570)\n",
" | > align_error: 0.97930 (0.97575)\n",
" | > max_spec_length: 423.0\n",
" | > max_text_length: 80.0\n",
" | > step_time: 1.3581\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00060625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.01 sec -- GLOBAL_STEP: 2449\u001b[0m\n",
" | > avg_decoder_loss: 7.51450\n",
" | > avg_postnet_loss: 8.21337\n",
" | > avg_stopnet_loss: 11.94376\n",
" | > avg_decoder_coarse_loss: 4.65588\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.66200\n",
" | > avg_postnet_diff_spec_loss: 9.32274\n",
" | > avg_decoder_ssim_loss: 0.56312\n",
" | > avg_postnet_ssim_loss: 0.56085\n",
" | > avg_loss: 9.14329\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01888\n",
" | > avg_step_time: 1.71627\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54466 \u001b[0m(+0.00006)\n",
" | > avg_postnet_loss:\u001b[92m 5.51643 \u001b[0m(-0.00625)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91681 \u001b[0m(-0.00046)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.69680 \u001b[0m(-0.00012)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.97655 \u001b[0m(+0.00144)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81874 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80476 \u001b[0m(-0.00002)\n",
" | > avg_loss:\u001b[92m 7.77288 \u001b[0m(-0.00122)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 79/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:08:33) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 0/30 -- GLOBAL_STEP: 2450\u001b[0m\n",
" | > decoder_loss: 7.34649 (7.34649)\n",
" | > postnet_loss: 7.92355 (7.92355)\n",
" | > stopnet_loss: 11.43712 (11.43712)\n",
" | > decoder_coarse_loss: 4.70231 (4.70231)\n",
" | > decoder_ddc_loss: 0.02026 (0.02026)\n",
" | > ga_loss: 0.00664 (0.00664)\n",
" | > decoder_diff_spec_loss: 5.23442 (5.23442)\n",
" | > postnet_diff_spec_loss: 9.03768 (9.03768)\n",
" | > decoder_ssim_loss: 0.45311 (0.45311)\n",
" | > postnet_ssim_loss: 0.44957 (0.44957)\n",
" | > loss: 8.82503 (8.82503)\n",
" | > align_error: 0.97106 (0.97106)\n",
" | > max_spec_length: 322.0\n",
" | > max_text_length: 57.0\n",
" | > step_time: 2.4724\n",
" | > loader_time: 2.22\n",
" | > current_lr: 0.0006125\n",
"\n",
"\u001b[1m --> STEP: 25/30 -- GLOBAL_STEP: 2475\u001b[0m\n",
" | > decoder_loss: 7.59756 (7.52569)\n",
" | > postnet_loss: 8.11186 (8.20477)\n",
" | > stopnet_loss: 12.22903 (11.94991)\n",
" | > decoder_coarse_loss: 4.64218 (4.66329)\n",
" | > decoder_ddc_loss: 0.00707 (0.01166)\n",
" | > ga_loss: 0.00195 (0.00345)\n",
" | > decoder_diff_spec_loss: 5.85324 (5.66669)\n",
" | > postnet_diff_spec_loss: 9.42964 (9.26604)\n",
" | > decoder_ssim_loss: 0.52752 (0.57431)\n",
" | > postnet_ssim_loss: 0.52569 (0.57205)\n",
" | > loss: 9.18342 (9.13837)\n",
" | > align_error: 0.98966 (0.98352)\n",
" | > max_spec_length: 1027.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.7977\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00061875\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.84 sec -- GLOBAL_STEP: 2480\u001b[0m\n",
" | > avg_decoder_loss: 7.51410\n",
" | > avg_postnet_loss: 8.21377\n",
" | > avg_stopnet_loss: 11.94272\n",
" | > avg_decoder_coarse_loss: 4.65596\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.66063\n",
" | > avg_postnet_diff_spec_loss: 9.32303\n",
" | > avg_decoder_ssim_loss: 0.56312\n",
" | > avg_postnet_ssim_loss: 0.56085\n",
" | > avg_loss: 9.14303\n",
" | > avg_align_error: 0.98379\n",
" | > avg_loader_time: 0.01915\n",
" | > avg_step_time: 1.74573\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54469 \u001b[0m(+0.00003)\n",
" | > avg_postnet_loss:\u001b[91m 5.51728 \u001b[0m(+0.00085)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91679 \u001b[0m(-0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.69685 \u001b[0m(+0.00005)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.97580 \u001b[0m(-0.00076)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81874 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80475 \u001b[0m(-0.00001)\n",
" | > avg_loss:\u001b[91m 7.77293 \u001b[0m(+0.00004)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 80/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:09:45) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 19/30 -- GLOBAL_STEP: 2500\u001b[0m\n",
" | > decoder_loss: 7.57725 (7.50276)\n",
" | > postnet_loss: 8.30380 (8.16378)\n",
" | > stopnet_loss: 12.13570 (11.87976)\n",
" | > decoder_coarse_loss: 4.64621 (4.66828)\n",
" | > decoder_ddc_loss: 0.00904 (0.01294)\n",
" | > ga_loss: 0.00242 (0.00390)\n",
" | > decoder_diff_spec_loss: 5.80369 (5.61193)\n",
" | > postnet_diff_spec_loss: 9.31220 (9.22853)\n",
" | > decoder_ssim_loss: 0.62643 (0.56131)\n",
" | > postnet_ssim_loss: 0.62457 (0.55887)\n",
" | > loss: 9.23789 (9.09660)\n",
" | > align_error: 0.98709 (0.98171)\n",
" | > max_spec_length: 806.0\n",
" | > max_text_length: 142.0\n",
" | > step_time: 1.8322\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.000625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.74 sec -- GLOBAL_STEP: 2511\u001b[0m\n",
" | > avg_decoder_loss: 7.51493\n",
" | > avg_postnet_loss: 8.20979\n",
" | > avg_stopnet_loss: 11.94781\n",
" | > avg_decoder_coarse_loss: 4.65613\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.66244\n",
" | > avg_postnet_diff_spec_loss: 9.32086\n",
" | > avg_decoder_ssim_loss: 0.56312\n",
" | > avg_postnet_ssim_loss: 0.56084\n",
" | > avg_loss: 9.14220\n",
" | > avg_align_error: 0.98378\n",
" | > avg_loader_time: 0.02056\n",
" | > avg_step_time: 1.70902\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.54455 \u001b[0m(-0.00013)\n",
" | > avg_postnet_loss:\u001b[91m 5.51828 \u001b[0m(+0.00100)\n",
" | > avg_stopnet_loss:\u001b[92m 11.91176 \u001b[0m(-0.00503)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.69557 \u001b[0m(-0.00128)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.97529 \u001b[0m(-0.00050)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81874 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80475 \u001b[0m(-0.00001)\n",
" | > avg_loss:\u001b[92m 7.77269 \u001b[0m(-0.00023)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 81/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:10:55) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 13/30 -- GLOBAL_STEP: 2525\u001b[0m\n",
" | > decoder_loss: 7.56268 (7.47014)\n",
" | > postnet_loss: 8.28799 (8.13354)\n",
" | > stopnet_loss: 12.03058 (11.75574)\n",
" | > decoder_coarse_loss: 4.65714 (4.67436)\n",
" | > decoder_ddc_loss: 0.01059 (0.01450)\n",
" | > ga_loss: 0.00290 (0.00451)\n",
" | > decoder_diff_spec_loss: 5.74843 (5.53245)\n",
" | > postnet_diff_spec_loss: 9.27230 (9.17583)\n",
" | > decoder_ssim_loss: 0.62020 (0.54983)\n",
" | > postnet_ssim_loss: 0.61823 (0.54719)\n",
" | > loss: 9.20889 (9.04701)\n",
" | > align_error: 0.98503 (0.97962)\n",
" | > max_spec_length: 695.0\n",
" | > max_text_length: 121.0\n",
" | > step_time: 2.2284\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.0006312500000000001\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.52 sec -- GLOBAL_STEP: 2542\u001b[0m\n",
" | > avg_decoder_loss: 7.51519\n",
" | > avg_postnet_loss: 8.21042\n",
" | > avg_stopnet_loss: 11.93368\n",
" | > avg_decoder_coarse_loss: 4.65597\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.66109\n",
" | > avg_postnet_diff_spec_loss: 9.32095\n",
" | > avg_decoder_ssim_loss: 0.56312\n",
" | > avg_postnet_ssim_loss: 0.56085\n",
" | > avg_loss: 9.14205\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01805\n",
" | > avg_step_time: 1.73625\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.54486 \u001b[0m(+0.00030)\n",
" | > avg_postnet_loss:\u001b[92m 5.51600 \u001b[0m(-0.00228)\n",
" | > avg_stopnet_loss:\u001b[92m 11.90729 \u001b[0m(-0.00447)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65760 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.69451 \u001b[0m(-0.00106)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 5.97590 \u001b[0m(+0.00061)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81874 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.80474 \u001b[0m(-0.00001)\n",
" | > avg_loss:\u001b[92m 7.77209 \u001b[0m(-0.00060)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 82/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:12:07) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 7/30 -- GLOBAL_STEP: 2550\u001b[0m\n",
" | > decoder_loss: 7.48397 (7.40766)\n",
" | > postnet_loss: 7.85123 (7.98778)\n",
" | > stopnet_loss: 11.93574 (11.61663)\n",
" | > decoder_coarse_loss: 4.68226 (4.68212)\n",
" | > decoder_ddc_loss: 0.01608 (0.01700)\n",
" | > ga_loss: 0.00468 (0.00553)\n",
" | > decoder_diff_spec_loss: 5.54442 (5.39358)\n",
" | > postnet_diff_spec_loss: 9.48571 (9.12141)\n",
" | > decoder_ssim_loss: 0.36068 (0.48650)\n",
" | > postnet_ssim_loss: 0.35807 (0.48352)\n",
" | > loss: 8.96900 (8.92253)\n",
" | > align_error: 0.97709 (0.97601)\n",
" | > max_spec_length: 570.0\n",
" | > max_text_length: 80.0\n",
" | > step_time: 1.6898\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0006374999999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.63 sec -- GLOBAL_STEP: 2573\u001b[0m\n",
" | > avg_decoder_loss: 7.51113\n",
" | > avg_postnet_loss: 8.20156\n",
" | > avg_stopnet_loss: 11.92724\n",
" | > avg_decoder_coarse_loss: 4.65613\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.65759\n",
" | > avg_postnet_diff_spec_loss: 9.31525\n",
" | > avg_decoder_ssim_loss: 0.56313\n",
" | > avg_postnet_ssim_loss: 0.56083\n",
" | > avg_loss: 9.13657\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01916\n",
" | > avg_step_time: 1.70180\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.50830 \u001b[0m(-0.03656)\n",
" | > avg_postnet_loss:\u001b[92m 4.79911 \u001b[0m(-0.71689)\n",
" | > avg_stopnet_loss:\u001b[91m 11.97117 \u001b[0m(+0.06389)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.71639 \u001b[0m(+0.02188)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 5.97012 \u001b[0m(-0.00579)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81893 \u001b[0m(+0.00019)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79483 \u001b[0m(-0.00991)\n",
" | > avg_loss:\u001b[92m 7.58532 \u001b[0m(-0.18677)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 83/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:13:17) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 1/30 -- GLOBAL_STEP: 2575\u001b[0m\n",
" | > decoder_loss: 7.29195 (7.29195)\n",
" | > postnet_loss: 7.21646 (7.21646)\n",
" | > stopnet_loss: 11.63143 (11.63143)\n",
" | > decoder_coarse_loss: 4.68610 (4.68610)\n",
" | > decoder_ddc_loss: 0.02007 (0.02007)\n",
" | > ga_loss: 0.00676 (0.00676)\n",
" | > decoder_diff_spec_loss: 5.25764 (5.25764)\n",
" | > postnet_diff_spec_loss: 8.95268 (8.95268)\n",
" | > decoder_ssim_loss: 0.36330 (0.36330)\n",
" | > postnet_ssim_loss: 0.35877 (0.35877)\n",
" | > loss: 8.57056 (8.57056)\n",
" | > align_error: 0.97062 (0.97062)\n",
" | > max_spec_length: 364.0\n",
" | > max_text_length: 58.0\n",
" | > step_time: 1.6905\n",
" | > loader_time: 0.06\n",
" | > current_lr: 0.00064375\n",
"\n",
"\u001b[1m --> STEP: 26/30 -- GLOBAL_STEP: 2600\u001b[0m\n",
" | > decoder_loss: 7.68127 (7.57926)\n",
" | > postnet_loss: 7.74396 (7.58348)\n",
" | > stopnet_loss: 12.41335 (12.13495)\n",
" | > decoder_coarse_loss: 4.64552 (4.66274)\n",
" | > decoder_ddc_loss: 0.00716 (0.01148)\n",
" | > ga_loss: 0.00188 (0.00339)\n",
" | > decoder_diff_spec_loss: 6.13263 (5.89304)\n",
" | > postnet_diff_spec_loss: 9.00030 (8.93297)\n",
" | > decoder_ssim_loss: 0.64260 (0.57711)\n",
" | > postnet_ssim_loss: 0.63972 (0.57366)\n",
" | > loss: 9.13270 (8.97039)\n",
" | > align_error: 0.98982 (0.98378)\n",
" | > max_spec_length: 1002.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.7702\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00065\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.20 sec -- GLOBAL_STEP: 2604\u001b[0m\n",
" | > avg_decoder_loss: 7.56757\n",
" | > avg_postnet_loss: 7.59911\n",
" | > avg_stopnet_loss: 12.11918\n",
" | > avg_decoder_coarse_loss: 4.65614\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.88527\n",
" | > avg_postnet_diff_spec_loss: 9.02635\n",
" | > avg_decoder_ssim_loss: 0.56330\n",
" | > avg_postnet_ssim_loss: 0.55978\n",
" | > avg_loss: 8.98454\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.02092\n",
" | > avg_step_time: 1.71992\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62287 \u001b[0m(+0.11457)\n",
" | > avg_postnet_loss:\u001b[91m 4.82619 \u001b[0m(+0.02708)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11005 \u001b[0m(+0.13888)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.96993 \u001b[0m(+0.25354)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09800 \u001b[0m(+0.12789)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81896 \u001b[0m(+0.00003)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79281 \u001b[0m(-0.00202)\n",
" | > avg_loss:\u001b[91m 7.71559 \u001b[0m(+0.13027)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 84/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:14:28) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 20/30 -- GLOBAL_STEP: 2625\u001b[0m\n",
" | > decoder_loss: 7.67248 (7.58178)\n",
" | > postnet_loss: 7.74154 (7.51842)\n",
" | > stopnet_loss: 12.36591 (12.08350)\n",
" | > decoder_coarse_loss: 4.64749 (4.66664)\n",
" | > decoder_ddc_loss: 0.00785 (0.01270)\n",
" | > ga_loss: 0.00209 (0.00381)\n",
" | > decoder_diff_spec_loss: 6.11211 (5.88744)\n",
" | > postnet_diff_spec_loss: 8.98353 (8.90296)\n",
" | > decoder_ssim_loss: 0.64395 (0.56560)\n",
" | > postnet_ssim_loss: 0.64112 (0.56184)\n",
" | > loss: 9.12298 (8.94338)\n",
" | > align_error: 0.98889 (0.98210)\n",
" | > max_spec_length: 918.0\n",
" | > max_text_length: 164.0\n",
" | > step_time: 2.2844\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.0006562499999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 59.04 sec -- GLOBAL_STEP: 2635\u001b[0m\n",
" | > avg_decoder_loss: 7.59020\n",
" | > avg_postnet_loss: 7.57547\n",
" | > avg_stopnet_loss: 12.13952\n",
" | > avg_decoder_coarse_loss: 4.65593\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92910\n",
" | > avg_postnet_diff_spec_loss: 9.02681\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55967\n",
" | > avg_loss: 8.99528\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01814\n",
" | > avg_step_time: 1.88252\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62319 \u001b[0m(+0.00032)\n",
" | > avg_postnet_loss:\u001b[91m 4.87382 \u001b[0m(+0.04763)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11026 \u001b[0m(+0.00021)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97051 \u001b[0m(+0.00058)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09414 \u001b[0m(-0.00387)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81896 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79336 \u001b[0m(+0.00055)\n",
" | > avg_loss:\u001b[91m 7.72690 \u001b[0m(+0.01131)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 85/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:15:44) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 14/30 -- GLOBAL_STEP: 2650\u001b[0m\n",
" | > decoder_loss: 7.63421 (7.54915)\n",
" | > postnet_loss: 7.46413 (7.47205)\n",
" | > stopnet_loss: 12.25303 (11.98208)\n",
" | > decoder_coarse_loss: 4.65508 (4.67366)\n",
" | > decoder_ddc_loss: 0.01102 (0.01425)\n",
" | > ga_loss: 0.00289 (0.00440)\n",
" | > decoder_diff_spec_loss: 6.01909 (5.80940)\n",
" | > postnet_diff_spec_loss: 8.99769 (8.86574)\n",
" | > decoder_ssim_loss: 0.54905 (0.54991)\n",
" | > postnet_ssim_loss: 0.54559 (0.54590)\n",
" | > loss: 8.98340 (8.89199)\n",
" | > align_error: 0.98457 (0.98003)\n",
" | > max_spec_length: 719.0\n",
" | > max_text_length: 119.0\n",
" | > step_time: 1.9827\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0006625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.74 sec -- GLOBAL_STEP: 2666\u001b[0m\n",
" | > avg_decoder_loss: 7.59007\n",
" | > avg_postnet_loss: 7.57800\n",
" | > avg_stopnet_loss: 12.14077\n",
" | > avg_decoder_coarse_loss: 4.65627\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92906\n",
" | > avg_postnet_diff_spec_loss: 9.03015\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55967\n",
" | > avg_loss: 8.99680\n",
" | > avg_align_error: 0.98384\n",
" | > avg_loader_time: 0.01973\n",
" | > avg_step_time: 1.71085\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62319 \u001b[0m(-0.00000)\n",
" | > avg_postnet_loss:\u001b[92m 4.86800 \u001b[0m(-0.00582)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11027 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65762 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97052 \u001b[0m(+0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09404 \u001b[0m(-0.00009)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79330 \u001b[0m(-0.00006)\n",
" | > avg_loss:\u001b[92m 7.72541 \u001b[0m(-0.00149)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 86/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:16:54) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 8/30 -- GLOBAL_STEP: 2675\u001b[0m\n",
" | > decoder_loss: 7.61141 (7.49328)\n",
" | > postnet_loss: 7.90854 (7.35492)\n",
" | > stopnet_loss: 12.03583 (11.83837)\n",
" | > decoder_coarse_loss: 4.67191 (4.68072)\n",
" | > decoder_ddc_loss: 0.01179 (0.01639)\n",
" | > ga_loss: 0.00348 (0.00528)\n",
" | > decoder_diff_spec_loss: 5.93725 (5.68299)\n",
" | > postnet_diff_spec_loss: 8.83106 (8.80590)\n",
" | > decoder_ssim_loss: 0.69839 (0.51310)\n",
" | > postnet_ssim_loss: 0.69504 (0.50869)\n",
" | > loss: 9.10873 (8.79042)\n",
" | > align_error: 0.98372 (0.97700)\n",
" | > max_spec_length: 495.0\n",
" | > max_text_length: 103.0\n",
" | > step_time: 1.3146\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00066875\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.97 sec -- GLOBAL_STEP: 2697\u001b[0m\n",
" | > avg_decoder_loss: 7.59013\n",
" | > avg_postnet_loss: 7.57329\n",
" | > avg_stopnet_loss: 12.13862\n",
" | > avg_decoder_coarse_loss: 4.65606\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92961\n",
" | > avg_postnet_diff_spec_loss: 9.02636\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99479\n",
" | > avg_align_error: 0.98383\n",
" | > avg_loader_time: 0.01972\n",
" | > avg_step_time: 1.71202\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62319 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 4.87273 \u001b[0m(+0.00473)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11027 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00002)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97053 \u001b[0m(+0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09338 \u001b[0m(-0.00067)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79337 \u001b[0m(+0.00007)\n",
" | > avg_loss:\u001b[91m 7.72644 \u001b[0m(+0.00103)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 87/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:18:05) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 2/30 -- GLOBAL_STEP: 2700\u001b[0m\n",
" | > decoder_loss: 7.38025 (7.38470)\n",
" | > postnet_loss: 7.21986 (7.11316)\n",
" | > stopnet_loss: 11.52658 (11.64048)\n",
" | > decoder_coarse_loss: 4.67767 (4.68184)\n",
" | > decoder_ddc_loss: 0.01887 (0.01944)\n",
" | > ga_loss: 0.00685 (0.00681)\n",
" | > decoder_diff_spec_loss: 5.46094 (5.46153)\n",
" | > postnet_diff_spec_loss: 8.59624 (8.76985)\n",
" | > decoder_ssim_loss: 0.49797 (0.43062)\n",
" | > postnet_ssim_loss: 0.49288 (0.42551)\n",
" | > loss: 8.62041 (8.60569)\n",
" | > align_error: 0.97225 (0.97154)\n",
" | > max_spec_length: 296.0\n",
" | > max_text_length: 58.0\n",
" | > step_time: 1.6612\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.000675\n",
"\n",
"\u001b[1m --> STEP: 27/30 -- GLOBAL_STEP: 2725\u001b[0m\n",
" | > decoder_loss: 7.69073 (7.60905)\n",
" | > postnet_loss: 7.53532 (7.55735)\n",
" | > stopnet_loss: 12.44869 (12.17040)\n",
" | > decoder_coarse_loss: 4.64856 (4.66218)\n",
" | > decoder_ddc_loss: 0.00720 (0.01130)\n",
" | > ga_loss: 0.00193 (0.00334)\n",
" | > decoder_diff_spec_loss: 6.14261 (5.95222)\n",
" | > postnet_diff_spec_loss: 9.03626 (8.94519)\n",
" | > decoder_ssim_loss: 0.57471 (0.57702)\n",
" | > postnet_ssim_loss: 0.57169 (0.57346)\n",
" | > loss: 9.06142 (8.98863)\n",
" | > align_error: 0.98943 (0.98399)\n",
" | > max_spec_length: 1075.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.9106\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00068125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.87 sec -- GLOBAL_STEP: 2728\u001b[0m\n",
" | > avg_decoder_loss: 7.59148\n",
" | > avg_postnet_loss: 7.57722\n",
" | > avg_stopnet_loss: 12.14209\n",
" | > avg_decoder_coarse_loss: 4.65607\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.93176\n",
" | > avg_postnet_diff_spec_loss: 9.03528\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55967\n",
" | > avg_loss: 8.99886\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01604\n",
" | > avg_step_time: 1.71986\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62320 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 4.86750 \u001b[0m(-0.00523)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97056 \u001b[0m(+0.00003)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09353 \u001b[0m(+0.00015)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79333 \u001b[0m(-0.00004)\n",
" | > avg_loss:\u001b[92m 7.72517 \u001b[0m(-0.00127)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 88/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:19:16) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 21/30 -- GLOBAL_STEP: 2750\u001b[0m\n",
" | > decoder_loss: 7.68389 (7.58634)\n",
" | > postnet_loss: 7.89002 (7.53590)\n",
" | > stopnet_loss: 12.37175 (12.09816)\n",
" | > decoder_coarse_loss: 4.64893 (4.66643)\n",
" | > decoder_ddc_loss: 0.00725 (0.01243)\n",
" | > ga_loss: 0.00210 (0.00373)\n",
" | > decoder_diff_spec_loss: 6.13296 (5.89851)\n",
" | > postnet_diff_spec_loss: 8.99657 (8.91047)\n",
" | > decoder_ssim_loss: 0.68627 (0.57134)\n",
" | > postnet_ssim_loss: 0.68350 (0.56764)\n",
" | > loss: 9.19287 (8.95590)\n",
" | > align_error: 0.98956 (0.98248)\n",
" | > max_spec_length: 889.0\n",
" | > max_text_length: 173.0\n",
" | > step_time: 1.9243\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.0006875000000000001\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.68 sec -- GLOBAL_STEP: 2759\u001b[0m\n",
" | > avg_decoder_loss: 7.59002\n",
" | > avg_postnet_loss: 7.57389\n",
" | > avg_stopnet_loss: 12.13850\n",
" | > avg_decoder_coarse_loss: 4.65625\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92891\n",
" | > avg_postnet_diff_spec_loss: 9.02927\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55967\n",
" | > avg_loss: 8.99549\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01883\n",
" | > avg_step_time: 1.73748\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62320 \u001b[0m(+0.00000)\n",
" | > avg_postnet_loss:\u001b[91m 4.87411 \u001b[0m(+0.00661)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11028 \u001b[0m(-0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97056 \u001b[0m(-0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09343 \u001b[0m(-0.00010)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81896 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79341 \u001b[0m(+0.00008)\n",
" | > avg_loss:\u001b[91m 7.72682 \u001b[0m(+0.00165)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 89/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:20:27) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 15/30 -- GLOBAL_STEP: 2775\u001b[0m\n",
" | > decoder_loss: 7.63442 (7.55397)\n",
" | > postnet_loss: 7.51045 (7.46949)\n",
" | > stopnet_loss: 12.26237 (12.00243)\n",
" | > decoder_coarse_loss: 4.65085 (4.67190)\n",
" | > decoder_ddc_loss: 0.01041 (0.01402)\n",
" | > ga_loss: 0.00285 (0.00429)\n",
" | > decoder_diff_spec_loss: 6.02441 (5.82183)\n",
" | > postnet_diff_spec_loss: 8.93990 (8.86035)\n",
" | > decoder_ssim_loss: 0.57238 (0.55141)\n",
" | > postnet_ssim_loss: 0.56896 (0.54742)\n",
" | > loss: 8.99220 (8.89406)\n",
" | > align_error: 0.98535 (0.98032)\n",
" | > max_spec_length: 725.0\n",
" | > max_text_length: 124.0\n",
" | > step_time: 2.0117\n",
" | > loader_time: 0.04\n",
" | > current_lr: 0.00069375\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.69 sec -- GLOBAL_STEP: 2790\u001b[0m\n",
" | > avg_decoder_loss: 7.59059\n",
" | > avg_postnet_loss: 7.57480\n",
" | > avg_stopnet_loss: 12.14168\n",
" | > avg_decoder_coarse_loss: 4.65625\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.93011\n",
" | > avg_postnet_diff_spec_loss: 9.02667\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55966\n",
" | > avg_loss: 8.99554\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01710\n",
" | > avg_step_time: 1.73643\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62318 \u001b[0m(-0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 4.86991 \u001b[0m(-0.00420)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11026 \u001b[0m(-0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97051 \u001b[0m(-0.00005)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09408 \u001b[0m(+0.00064)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79335 \u001b[0m(-0.00006)\n",
" | > avg_loss:\u001b[92m 7.72590 \u001b[0m(-0.00092)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 90/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:21:39) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 9/30 -- GLOBAL_STEP: 2800\u001b[0m\n",
" | > decoder_loss: 7.61134 (7.50809)\n",
" | > postnet_loss: 7.20580 (7.34135)\n",
" | > stopnet_loss: 12.22908 (11.88405)\n",
" | > decoder_coarse_loss: 4.67147 (4.67971)\n",
" | > decoder_ddc_loss: 0.01239 (0.01594)\n",
" | > ga_loss: 0.00352 (0.00509)\n",
" | > decoder_diff_spec_loss: 5.93819 (5.71404)\n",
" | > postnet_diff_spec_loss: 9.09099 (8.84253)\n",
" | > decoder_ssim_loss: 0.43828 (0.50479)\n",
" | > postnet_ssim_loss: 0.43440 (0.50046)\n",
" | > loss: 8.86830 (8.80216)\n",
" | > align_error: 0.98239 (0.97757)\n",
" | > max_spec_length: 684.0\n",
" | > max_text_length: 104.0\n",
" | > step_time: 1.8288\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0007\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.48 sec -- GLOBAL_STEP: 2821\u001b[0m\n",
" | > avg_decoder_loss: 7.59086\n",
" | > avg_postnet_loss: 7.57601\n",
" | > avg_stopnet_loss: 12.14075\n",
" | > avg_decoder_coarse_loss: 4.65615\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.93081\n",
" | > avg_postnet_diff_spec_loss: 9.03167\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55967\n",
" | > avg_loss: 8.99730\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01779\n",
" | > avg_step_time: 1.73149\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62319 \u001b[0m(+0.00000)\n",
" | > avg_postnet_loss:\u001b[91m 4.87049 \u001b[0m(+0.00058)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11027 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97052 \u001b[0m(+0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09354 \u001b[0m(-0.00054)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79335 \u001b[0m(-0.00001)\n",
" | > avg_loss:\u001b[91m 7.72591 \u001b[0m(+0.00001)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 91/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:22:50) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 3/30 -- GLOBAL_STEP: 2825\u001b[0m\n",
" | > decoder_loss: 7.37516 (7.37880)\n",
" | > postnet_loss: 7.14599 (7.12061)\n",
" | > stopnet_loss: 11.54567 (11.60443)\n",
" | > decoder_coarse_loss: 4.68918 (4.68404)\n",
" | > decoder_ddc_loss: 0.01973 (0.01956)\n",
" | > ga_loss: 0.00669 (0.00677)\n",
" | > decoder_diff_spec_loss: 5.42939 (5.44726)\n",
" | > postnet_diff_spec_loss: 8.63849 (8.71998)\n",
" | > decoder_ssim_loss: 0.45887 (0.44004)\n",
" | > postnet_ssim_loss: 0.45374 (0.43496)\n",
" | > loss: 8.58608 (8.59518)\n",
" | > align_error: 0.97286 (0.97210)\n",
" | > max_spec_length: 303.0\n",
" | > max_text_length: 58.0\n",
" | > step_time: 0.9016\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.0007062500000000001\n",
"\n",
"\u001b[1m --> STEP: 28/30 -- GLOBAL_STEP: 2850\u001b[0m\n",
" | > decoder_loss: 7.59627 (7.60792)\n",
" | > postnet_loss: 6.99347 (7.53607)\n",
" | > stopnet_loss: 12.42079 (12.17960)\n",
" | > decoder_coarse_loss: 4.62542 (4.66100)\n",
" | > decoder_ddc_loss: 0.00608 (0.01112)\n",
" | > ga_loss: 0.00210 (0.00329)\n",
" | > decoder_diff_spec_loss: 6.02049 (5.95369)\n",
" | > postnet_diff_spec_loss: 9.73289 (8.97091)\n",
" | > decoder_ssim_loss: 0.27391 (0.56619)\n",
" | > postnet_ssim_loss: 0.27004 (0.56264)\n",
" | > loss: 8.89014 (8.98384)\n",
" | > align_error: 0.98923 (0.98419)\n",
" | > max_spec_length: 1026.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.8479\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0007124999999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 53.70 sec -- GLOBAL_STEP: 2852\u001b[0m\n",
" | > avg_decoder_loss: 7.59060\n",
" | > avg_postnet_loss: 7.57589\n",
" | > avg_stopnet_loss: 12.14197\n",
" | > avg_decoder_coarse_loss: 4.65620\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.93053\n",
" | > avg_postnet_diff_spec_loss: 9.03315\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55969\n",
" | > avg_loss: 8.99749\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01837\n",
" | > avg_step_time: 1.70379\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62316 \u001b[0m(-0.00003)\n",
" | > avg_postnet_loss:\u001b[91m 4.87065 \u001b[0m(+0.00016)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11025 \u001b[0m(-0.00003)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97045 \u001b[0m(-0.00008)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09390 \u001b[0m(+0.00037)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79333 \u001b[0m(-0.00002)\n",
" | > avg_loss:\u001b[91m 7.72602 \u001b[0m(+0.00010)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 92/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:24:01) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 22/30 -- GLOBAL_STEP: 2875\u001b[0m\n",
" | > decoder_loss: 7.68613 (7.59146)\n",
" | > postnet_loss: 8.14644 (7.56775)\n",
" | > stopnet_loss: 12.32673 (12.11054)\n",
" | > decoder_coarse_loss: 4.66141 (4.66610)\n",
" | > decoder_ddc_loss: 0.00765 (0.01221)\n",
" | > ga_loss: 0.00207 (0.00365)\n",
" | > decoder_diff_spec_loss: 6.10706 (5.90979)\n",
" | > postnet_diff_spec_loss: 9.04233 (8.92041)\n",
" | > decoder_ssim_loss: 0.74673 (0.57932)\n",
" | > postnet_ssim_loss: 0.74416 (0.57567)\n",
" | > loss: 9.29585 (8.97392)\n",
" | > align_error: 0.98933 (0.98277)\n",
" | > max_spec_length: 821.0\n",
" | > max_text_length: 165.0\n",
" | > step_time: 1.8131\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00071875\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.51 sec -- GLOBAL_STEP: 2883\u001b[0m\n",
" | > avg_decoder_loss: 7.59059\n",
" | > avg_postnet_loss: 7.57878\n",
" | > avg_stopnet_loss: 12.14056\n",
" | > avg_decoder_coarse_loss: 4.65630\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.93077\n",
" | > avg_postnet_diff_spec_loss: 9.03382\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99847\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01959\n",
" | > avg_step_time: 1.73548\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62320 \u001b[0m(+0.00004)\n",
" | > avg_postnet_loss:\u001b[92m 4.86565 \u001b[0m(-0.00501)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00003)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97054 \u001b[0m(+0.00009)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09358 \u001b[0m(-0.00033)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81896 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79326 \u001b[0m(-0.00007)\n",
" | > avg_loss:\u001b[92m 7.72470 \u001b[0m(-0.00132)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 93/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:25:12) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 16/30 -- GLOBAL_STEP: 2900\u001b[0m\n",
" | > decoder_loss: 7.65905 (7.56106)\n",
" | > postnet_loss: 8.17652 (7.51405)\n",
" | > stopnet_loss: 12.23418 (12.01749)\n",
" | > decoder_coarse_loss: 4.65422 (4.67071)\n",
" | > decoder_ddc_loss: 0.00923 (0.01370)\n",
" | > ga_loss: 0.00241 (0.00417)\n",
" | > decoder_diff_spec_loss: 6.06519 (5.83804)\n",
" | > postnet_diff_spec_loss: 8.99472 (8.87358)\n",
" | > decoder_ssim_loss: 0.75987 (0.56444)\n",
" | > postnet_ssim_loss: 0.75716 (0.56057)\n",
" | > loss: 9.28106 (8.91989)\n",
" | > align_error: 0.98735 (0.98079)\n",
" | > max_spec_length: 682.0\n",
" | > max_text_length: 139.0\n",
" | > step_time: 1.8020\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.000725\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 57.73 sec -- GLOBAL_STEP: 2914\u001b[0m\n",
" | > avg_decoder_loss: 7.59044\n",
" | > avg_postnet_loss: 7.57499\n",
" | > avg_stopnet_loss: 12.14057\n",
" | > avg_decoder_coarse_loss: 4.65599\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92998\n",
" | > avg_postnet_diff_spec_loss: 9.02803\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99576\n",
" | > avg_align_error: 0.98383\n",
" | > avg_loader_time: 0.02060\n",
" | > avg_step_time: 1.83637\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62318 \u001b[0m(-0.00002)\n",
" | > avg_postnet_loss:\u001b[91m 4.86995 \u001b[0m(+0.00430)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11026 \u001b[0m(-0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97049 \u001b[0m(-0.00005)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09335 \u001b[0m(-0.00022)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79335 \u001b[0m(+0.00009)\n",
" | > avg_loss:\u001b[91m 7.72572 \u001b[0m(+0.00102)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 94/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:26:27) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 10/30 -- GLOBAL_STEP: 2925\u001b[0m\n",
" | > decoder_loss: 7.59497 (7.51509)\n",
" | > postnet_loss: 7.95112 (7.39826)\n",
" | > stopnet_loss: 12.01359 (11.89805)\n",
" | > decoder_coarse_loss: 4.66646 (4.67833)\n",
" | > decoder_ddc_loss: 0.01209 (0.01557)\n",
" | > ga_loss: 0.00356 (0.00493)\n",
" | > decoder_diff_spec_loss: 5.91382 (5.73163)\n",
" | > postnet_diff_spec_loss: 8.84518 (8.83896)\n",
" | > decoder_ssim_loss: 0.70909 (0.52522)\n",
" | > postnet_ssim_loss: 0.70583 (0.52099)\n",
" | > loss: 9.11744 (8.83067)\n",
" | > align_error: 0.98330 (0.97812)\n",
" | > max_spec_length: 484.0\n",
" | > max_text_length: 101.0\n",
" | > step_time: 1.3626\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00073125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.87 sec -- GLOBAL_STEP: 2945\u001b[0m\n",
" | > avg_decoder_loss: 7.58969\n",
" | > avg_postnet_loss: 7.57422\n",
" | > avg_stopnet_loss: 12.13801\n",
" | > avg_decoder_coarse_loss: 4.65622\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92847\n",
" | > avg_postnet_diff_spec_loss: 9.02905\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99534\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01845\n",
" | > avg_step_time: 1.74482\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62321 \u001b[0m(+0.00003)\n",
" | > avg_postnet_loss:\u001b[91m 4.87334 \u001b[0m(+0.00340)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00003)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00320 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97058 \u001b[0m(+0.00008)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09374 \u001b[0m(+0.00038)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79336 \u001b[0m(+0.00001)\n",
" | > avg_loss:\u001b[91m 7.72670 \u001b[0m(+0.00098)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 95/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:27:38) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 4/30 -- GLOBAL_STEP: 2950\u001b[0m\n",
" | > decoder_loss: 7.54868 (7.41822)\n",
" | > postnet_loss: 7.41598 (7.19916)\n",
" | > stopnet_loss: 11.94796 (11.68317)\n",
" | > decoder_coarse_loss: 4.67815 (4.68312)\n",
" | > decoder_ddc_loss: 0.01511 (0.01841)\n",
" | > ga_loss: 0.00466 (0.00625)\n",
" | > decoder_diff_spec_loss: 5.80141 (5.52863)\n",
" | > postnet_diff_spec_loss: 8.79184 (8.73806)\n",
" | > decoder_ssim_loss: 0.54383 (0.46599)\n",
" | > postnet_ssim_loss: 0.53975 (0.46100)\n",
" | > loss: 8.85697 (8.65939)\n",
" | > align_error: 0.97924 (0.97380)\n",
" | > max_spec_length: 451.0\n",
" | > max_text_length: 81.0\n",
" | > step_time: 1.4046\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0007375\n",
"\n",
"\u001b[1m --> STEP: 29/30 -- GLOBAL_STEP: 2975\u001b[0m\n",
" | > decoder_loss: 7.37316 (7.59877)\n",
" | > postnet_loss: 6.98514 (7.51616)\n",
" | > stopnet_loss: 12.32534 (12.17970)\n",
" | > decoder_coarse_loss: 4.59796 (4.65893)\n",
" | > decoder_ddc_loss: 0.00525 (0.01091)\n",
" | > ga_loss: 0.00526 (0.00336)\n",
" | > decoder_diff_spec_loss: 5.64692 (5.94090)\n",
" | > postnet_diff_spec_loss: 10.64844 (9.02554)\n",
" | > decoder_ssim_loss: 0.04640 (0.54827)\n",
" | > postnet_ssim_loss: 0.04270 (0.54469)\n",
" | > loss: 8.86280 (8.97785)\n",
" | > align_error: 0.98823 (0.98431)\n",
" | > max_spec_length: 798.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.4465\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0007437499999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.35 sec -- GLOBAL_STEP: 2976\u001b[0m\n",
" | > avg_decoder_loss: 7.58947\n",
" | > avg_postnet_loss: 7.57439\n",
" | > avg_stopnet_loss: 12.13793\n",
" | > avg_decoder_coarse_loss: 4.65635\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92834\n",
" | > avg_postnet_diff_spec_loss: 9.02922\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55966\n",
" | > avg_loss: 8.99535\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.01820\n",
" | > avg_step_time: 1.72919\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62318 \u001b[0m(-0.00004)\n",
" | > avg_postnet_loss:\u001b[92m 4.86918 \u001b[0m(-0.00416)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11026 \u001b[0m(-0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97049 \u001b[0m(-0.00009)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09330 \u001b[0m(-0.00043)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79332 \u001b[0m(-0.00004)\n",
" | > avg_loss:\u001b[92m 7.72551 \u001b[0m(-0.00119)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 96/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:28:49) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 23/30 -- GLOBAL_STEP: 3000\u001b[0m\n",
" | > decoder_loss: 7.68788 (7.59545)\n",
" | > postnet_loss: 7.44696 (7.56135)\n",
" | > stopnet_loss: 12.42422 (12.11893)\n",
" | > decoder_coarse_loss: 4.65359 (4.66560)\n",
" | > decoder_ddc_loss: 0.00793 (0.01203)\n",
" | > ga_loss: 0.00209 (0.00358)\n",
" | > decoder_diff_spec_loss: 6.12537 (5.91825)\n",
" | > postnet_diff_spec_loss: 9.06160 (8.92489)\n",
" | > decoder_ssim_loss: 0.53977 (0.57760)\n",
" | > postnet_ssim_loss: 0.53660 (0.57398)\n",
" | > loss: 9.02538 (8.97518)\n",
" | > align_error: 0.98839 (0.98302)\n",
" | > max_spec_length: 1043.0\n",
" | > max_text_length: 164.0\n",
" | > step_time: 1.8509\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00075\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.47 sec -- GLOBAL_STEP: 3007\u001b[0m\n",
" | > avg_decoder_loss: 7.59045\n",
" | > avg_postnet_loss: 7.57817\n",
" | > avg_stopnet_loss: 12.13692\n",
" | > avg_decoder_coarse_loss: 4.65638\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.93009\n",
" | > avg_postnet_diff_spec_loss: 9.03279\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99786\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01661\n",
" | > avg_step_time: 1.74070\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62320 \u001b[0m(+0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 4.86635 \u001b[0m(-0.00283)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97055 \u001b[0m(+0.00005)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09380 \u001b[0m(+0.00050)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79329 \u001b[0m(-0.00003)\n",
" | > avg_loss:\u001b[92m 7.72494 \u001b[0m(-0.00057)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 97/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:30:00) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 17/30 -- GLOBAL_STEP: 3025\u001b[0m\n",
" | > decoder_loss: 7.66577 (7.56679)\n",
" | > postnet_loss: 7.27328 (7.50218)\n",
" | > stopnet_loss: 12.38109 (12.03788)\n",
" | > decoder_coarse_loss: 4.66123 (4.67048)\n",
" | > decoder_ddc_loss: 0.00897 (0.01342)\n",
" | > ga_loss: 0.00245 (0.00408)\n",
" | > decoder_diff_spec_loss: 6.06921 (5.85145)\n",
" | > postnet_diff_spec_loss: 9.13496 (8.89108)\n",
" | > decoder_ssim_loss: 0.46795 (0.55876)\n",
" | > postnet_ssim_loss: 0.46439 (0.55490)\n",
" | > loss: 8.94870 (8.92264)\n",
" | > align_error: 0.98661 (0.98110)\n",
" | > max_spec_length: 946.0\n",
" | > max_text_length: 144.0\n",
" | > step_time: 2.6833\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00075625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.86 sec -- GLOBAL_STEP: 3038\u001b[0m\n",
" | > avg_decoder_loss: 7.58974\n",
" | > avg_postnet_loss: 7.57612\n",
" | > avg_stopnet_loss: 12.13936\n",
" | > avg_decoder_coarse_loss: 4.65629\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92879\n",
" | > avg_postnet_diff_spec_loss: 9.02891\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99588\n",
" | > avg_align_error: 0.98379\n",
" | > avg_loader_time: 0.01808\n",
" | > avg_step_time: 1.74035\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62319 \u001b[0m(-0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 4.86906 \u001b[0m(+0.00271)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11027 \u001b[0m(-0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97053 \u001b[0m(-0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09318 \u001b[0m(-0.00062)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79331 \u001b[0m(+0.00001)\n",
" | > avg_loss:\u001b[91m 7.72546 \u001b[0m(+0.00052)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 98/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:31:12) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 11/30 -- GLOBAL_STEP: 3050\u001b[0m\n",
" | > decoder_loss: 7.60596 (7.52369)\n",
" | > postnet_loss: 7.76679 (7.43415)\n",
" | > stopnet_loss: 12.05658 (11.90377)\n",
" | > decoder_coarse_loss: 4.66933 (4.67731)\n",
" | > decoder_ddc_loss: 0.01211 (0.01526)\n",
" | > ga_loss: 0.00352 (0.00481)\n",
" | > decoder_diff_spec_loss: 5.93146 (5.74966)\n",
" | > postnet_diff_spec_loss: 8.82563 (8.84134)\n",
" | > decoder_ssim_loss: 0.65999 (0.53747)\n",
" | > postnet_ssim_loss: 0.65654 (0.53332)\n",
" | > loss: 9.04954 (8.85209)\n",
" | > align_error: 0.98337 (0.97860)\n",
" | > max_spec_length: 514.0\n",
" | > max_text_length: 102.0\n",
" | > step_time: 1.6409\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.0007625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.27 sec -- GLOBAL_STEP: 3069\u001b[0m\n",
" | > avg_decoder_loss: 7.58989\n",
" | > avg_postnet_loss: 7.57434\n",
" | > avg_stopnet_loss: 12.13483\n",
" | > avg_decoder_coarse_loss: 4.65628\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92825\n",
" | > avg_postnet_diff_spec_loss: 9.02758\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55969\n",
" | > avg_loss: 8.99502\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01794\n",
" | > avg_step_time: 1.72579\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62320 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 4.87383 \u001b[0m(+0.00477)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97055 \u001b[0m(+0.00003)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09366 \u001b[0m(+0.00048)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81896 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79335 \u001b[0m(+0.00005)\n",
" | > avg_loss:\u001b[91m 7.72679 \u001b[0m(+0.00133)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 99/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:32:23) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 5/30 -- GLOBAL_STEP: 3075\u001b[0m\n",
" | > decoder_loss: 7.56190 (7.44853)\n",
" | > postnet_loss: 7.52142 (7.26067)\n",
" | > stopnet_loss: 11.92506 (11.73558)\n",
" | > decoder_coarse_loss: 4.68774 (4.68309)\n",
" | > decoder_ddc_loss: 0.01419 (0.01764)\n",
" | > ga_loss: 0.00451 (0.00588)\n",
" | > decoder_diff_spec_loss: 5.80566 (5.58858)\n",
" | > postnet_diff_spec_loss: 8.75679 (8.74536)\n",
" | > decoder_ssim_loss: 0.57953 (0.48870)\n",
" | > postnet_ssim_loss: 0.57554 (0.48393)\n",
" | > loss: 8.89825 (8.70853)\n",
" | > align_error: 0.98024 (0.97509)\n",
" | > max_spec_length: 435.0\n",
" | > max_text_length: 85.0\n",
" | > step_time: 1.4721\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00076875\n",
"\n",
"\u001b[1m --> STEP: 30/30 -- GLOBAL_STEP: 3100\u001b[0m\n",
" | > decoder_loss: 7.31861 (7.58994)\n",
" | > postnet_loss: 9.28103 (7.57539)\n",
" | > stopnet_loss: 10.90420 (12.13840)\n",
" | > decoder_coarse_loss: 4.57978 (4.65599)\n",
" | > decoder_ddc_loss: 0.03004 (0.01157)\n",
" | > ga_loss: 0.00623 (0.00345)\n",
" | > decoder_diff_spec_loss: 5.55535 (5.92897)\n",
" | > postnet_diff_spec_loss: 9.12480 (9.02989)\n",
" | > decoder_ssim_loss: 0.99903 (0.56329)\n",
" | > postnet_ssim_loss: 0.99374 (0.55967)\n",
" | > loss: 9.50175 (8.99595)\n",
" | > align_error: 0.96915 (0.98382)\n",
" | > max_spec_length: 202.0\n",
" | > max_text_length: 43.0\n",
" | > step_time: 0.3287\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0007750000000000001\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.41 sec -- GLOBAL_STEP: 3100\u001b[0m\n",
" | > avg_decoder_loss: 7.58994\n",
" | > avg_postnet_loss: 7.57539\n",
" | > avg_stopnet_loss: 12.13840\n",
" | > avg_decoder_coarse_loss: 4.65599\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92897\n",
" | > avg_postnet_diff_spec_loss: 9.02989\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55967\n",
" | > avg_loss: 8.99595\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01863\n",
" | > avg_step_time: 1.72770\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62318 \u001b[0m(-0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 4.86815 \u001b[0m(-0.00568)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11026 \u001b[0m(-0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97050 \u001b[0m(-0.00005)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09315 \u001b[0m(-0.00051)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79330 \u001b[0m(-0.00005)\n",
" | > avg_loss:\u001b[92m 7.72521 \u001b[0m(-0.00158)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 100/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:33:34) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 24/30 -- GLOBAL_STEP: 3125\u001b[0m\n",
" | > decoder_loss: 7.68176 (7.59893)\n",
" | > postnet_loss: 7.45035 (7.55402)\n",
" | > stopnet_loss: 12.45942 (12.13904)\n",
" | > decoder_coarse_loss: 4.63840 (4.66438)\n",
" | > decoder_ddc_loss: 0.00732 (0.01183)\n",
" | > ga_loss: 0.00191 (0.00351)\n",
" | > decoder_diff_spec_loss: 6.15005 (5.92764)\n",
" | > postnet_diff_spec_loss: 9.05739 (8.92910)\n",
" | > decoder_ssim_loss: 0.54973 (0.57644)\n",
" | > postnet_ssim_loss: 0.54660 (0.57284)\n",
" | > loss: 9.02994 (8.97635)\n",
" | > align_error: 0.98942 (0.98327)\n",
" | > max_spec_length: 1125.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 2.0475\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00078125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.64 sec -- GLOBAL_STEP: 3131\u001b[0m\n",
" | > avg_decoder_loss: 7.59024\n",
" | > avg_postnet_loss: 7.57515\n",
" | > avg_stopnet_loss: 12.14277\n",
" | > avg_decoder_coarse_loss: 4.65602\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92934\n",
" | > avg_postnet_diff_spec_loss: 9.03114\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99638\n",
" | > avg_align_error: 0.98379\n",
" | > avg_loader_time: 0.01641\n",
" | > avg_step_time: 1.73664\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62320 \u001b[0m(+0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 4.86778 \u001b[0m(-0.00037)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11027 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97055 \u001b[0m(+0.00005)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09359 \u001b[0m(+0.00044)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79329 \u001b[0m(-0.00001)\n",
" | > avg_loss:\u001b[91m 7.72524 \u001b[0m(+0.00003)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 101/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:34:46) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 18/30 -- GLOBAL_STEP: 3150\u001b[0m\n",
" | > decoder_loss: 7.66400 (7.57213)\n",
" | > postnet_loss: 7.44022 (7.49959)\n",
" | > stopnet_loss: 12.35731 (12.05410)\n",
" | > decoder_coarse_loss: 4.65455 (4.66955)\n",
" | > decoder_ddc_loss: 0.00881 (0.01316)\n",
" | > ga_loss: 0.00241 (0.00398)\n",
" | > decoder_diff_spec_loss: 6.07971 (5.86399)\n",
" | > postnet_diff_spec_loss: 9.01405 (8.89835)\n",
" | > decoder_ssim_loss: 0.54231 (0.55785)\n",
" | > postnet_ssim_loss: 0.53904 (0.55402)\n",
" | > loss: 8.99771 (8.92707)\n",
" | > align_error: 0.98704 (0.98140)\n",
" | > max_spec_length: 882.0\n",
" | > max_text_length: 144.0\n",
" | > step_time: 2.2967\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0007874999999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.90 sec -- GLOBAL_STEP: 3162\u001b[0m\n",
" | > avg_decoder_loss: 7.58945\n",
" | > avg_postnet_loss: 7.57567\n",
" | > avg_stopnet_loss: 12.13779\n",
" | > avg_decoder_coarse_loss: 4.65625\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92806\n",
" | > avg_postnet_diff_spec_loss: 9.02857\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99542\n",
" | > avg_align_error: 0.98378\n",
" | > avg_loader_time: 0.01910\n",
" | > avg_step_time: 1.74479\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62317 \u001b[0m(-0.00003)\n",
" | > avg_postnet_loss:\u001b[91m 4.87115 \u001b[0m(+0.00338)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11026 \u001b[0m(-0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97047 \u001b[0m(-0.00007)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09450 \u001b[0m(+0.00091)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79335 \u001b[0m(+0.00007)\n",
" | > avg_loss:\u001b[91m 7.72630 \u001b[0m(+0.00106)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 102/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:35:58) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 12/30 -- GLOBAL_STEP: 3175\u001b[0m\n",
" | > decoder_loss: 7.64544 (7.53457)\n",
" | > postnet_loss: 7.63933 (7.45480)\n",
" | > stopnet_loss: 12.23409 (11.93740)\n",
" | > decoder_coarse_loss: 4.66362 (4.67633)\n",
" | > decoder_ddc_loss: 0.01039 (0.01484)\n",
" | > ga_loss: 0.00291 (0.00464)\n",
" | > decoder_diff_spec_loss: 6.02184 (5.77410)\n",
" | > postnet_diff_spec_loss: 8.88646 (8.84986)\n",
" | > decoder_ssim_loss: 0.61723 (0.54412)\n",
" | > postnet_ssim_loss: 0.61398 (0.53999)\n",
" | > loss: 9.03912 (8.87035)\n",
" | > align_error: 0.98521 (0.97920)\n",
" | > max_spec_length: 690.0\n",
" | > max_text_length: 122.0\n",
" | > step_time: 2.0070\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00079375\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.36 sec -- GLOBAL_STEP: 3193\u001b[0m\n",
" | > avg_decoder_loss: 7.59053\n",
" | > avg_postnet_loss: 7.57652\n",
" | > avg_stopnet_loss: 12.13968\n",
" | > avg_decoder_coarse_loss: 4.65613\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92990\n",
" | > avg_postnet_diff_spec_loss: 9.03246\n",
" | > avg_decoder_ssim_loss: 0.56330\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99730\n",
" | > avg_align_error: 0.98384\n",
" | > avg_loader_time: 0.01792\n",
" | > avg_step_time: 1.72960\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62319 \u001b[0m(+0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 4.86832 \u001b[0m(-0.00283)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11027 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65762 \u001b[0m(+0.00002)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97052 \u001b[0m(+0.00004)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09380 \u001b[0m(-0.00070)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81896 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79331 \u001b[0m(-0.00005)\n",
" | > avg_loss:\u001b[92m 7.72542 \u001b[0m(-0.00088)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 103/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:37:09) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 6/30 -- GLOBAL_STEP: 3200\u001b[0m\n",
" | > decoder_loss: 7.54680 (7.46440)\n",
" | > postnet_loss: 7.57797 (7.31182)\n",
" | > stopnet_loss: 11.90780 (11.76673)\n",
" | > decoder_coarse_loss: 4.67416 (4.68183)\n",
" | > decoder_ddc_loss: 0.01509 (0.01721)\n",
" | > ga_loss: 0.00461 (0.00568)\n",
" | > decoder_diff_spec_loss: 5.80204 (5.62098)\n",
" | > postnet_diff_spec_loss: 8.74971 (8.73682)\n",
" | > decoder_ssim_loss: 0.60215 (0.50761)\n",
" | > postnet_ssim_loss: 0.59825 (0.50302)\n",
" | > loss: 8.91462 (8.73935)\n",
" | > align_error: 0.97958 (0.97571)\n",
" | > max_spec_length: 423.0\n",
" | > max_text_length: 80.0\n",
" | > step_time: 1.3100\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0007999999999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 57.59 sec -- GLOBAL_STEP: 3224\u001b[0m\n",
" | > avg_decoder_loss: 7.58998\n",
" | > avg_postnet_loss: 7.57576\n",
" | > avg_stopnet_loss: 12.14068\n",
" | > avg_decoder_coarse_loss: 4.65620\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92879\n",
" | > avg_postnet_diff_spec_loss: 9.03142\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99646\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.02134\n",
" | > avg_step_time: 1.83344\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62319 \u001b[0m(+0.00000)\n",
" | > avg_postnet_loss:\u001b[92m 4.86655 \u001b[0m(-0.00178)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11027 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97052 \u001b[0m(+0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09311 \u001b[0m(-0.00069)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79329 \u001b[0m(-0.00002)\n",
" | > avg_loss:\u001b[92m 7.72480 \u001b[0m(-0.00062)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 104/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:38:24) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 0/30 -- GLOBAL_STEP: 3225\u001b[0m\n",
" | > decoder_loss: 7.41020 (7.41020)\n",
" | > postnet_loss: 7.16131 (7.16131)\n",
" | > stopnet_loss: 11.62179 (11.62179)\n",
" | > decoder_coarse_loss: 4.70332 (4.70332)\n",
" | > decoder_ddc_loss: 0.02030 (0.02030)\n",
" | > ga_loss: 0.00668 (0.00668)\n",
" | > decoder_diff_spec_loss: 5.47419 (5.47419)\n",
" | > postnet_diff_spec_loss: 8.68868 (8.68868)\n",
" | > decoder_ssim_loss: 0.45321 (0.45321)\n",
" | > postnet_ssim_loss: 0.44820 (0.44820)\n",
" | > loss: 8.62325 (8.62325)\n",
" | > align_error: 0.97112 (0.97112)\n",
" | > max_spec_length: 322.0\n",
" | > max_text_length: 57.0\n",
" | > step_time: 2.5489\n",
" | > loader_time: 2.12\n",
" | > current_lr: 0.00080625\n",
"\n",
"\u001b[1m --> STEP: 25/30 -- GLOBAL_STEP: 3250\u001b[0m\n",
" | > decoder_loss: 7.66978 (7.60116)\n",
" | > postnet_loss: 7.39679 (7.54704)\n",
" | > stopnet_loss: 12.42103 (12.14708)\n",
" | > decoder_coarse_loss: 4.64399 (4.66355)\n",
" | > decoder_ddc_loss: 0.00704 (0.01164)\n",
" | > ga_loss: 0.00195 (0.00345)\n",
" | > decoder_diff_spec_loss: 6.11769 (5.93466)\n",
" | > postnet_diff_spec_loss: 9.05929 (8.93024)\n",
" | > decoder_ssim_loss: 0.52771 (0.57449)\n",
" | > postnet_ssim_loss: 0.52443 (0.57090)\n",
" | > loss: 8.99641 (8.97568)\n",
" | > align_error: 0.98968 (0.98354)\n",
" | > max_spec_length: 1027.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.8817\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0008125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 60.76 sec -- GLOBAL_STEP: 3255\u001b[0m\n",
" | > avg_decoder_loss: 7.58965\n",
" | > avg_postnet_loss: 7.57347\n",
" | > avg_stopnet_loss: 12.13881\n",
" | > avg_decoder_coarse_loss: 4.65616\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92862\n",
" | > avg_postnet_diff_spec_loss: 9.02611\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99442\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.02208\n",
" | > avg_step_time: 1.94045\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62320 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 4.87310 \u001b[0m(+0.00655)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11027 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65762 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01188 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97054 \u001b[0m(+0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09409 \u001b[0m(+0.00098)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79336 \u001b[0m(+0.00008)\n",
" | > avg_loss:\u001b[91m 7.72671 \u001b[0m(+0.00191)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 105/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:39:43) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 19/30 -- GLOBAL_STEP: 3275\u001b[0m\n",
" | > decoder_loss: 7.65706 (7.57646)\n",
" | > postnet_loss: 7.67598 (7.50711)\n",
" | > stopnet_loss: 12.32277 (12.07115)\n",
" | > decoder_coarse_loss: 4.64614 (4.66834)\n",
" | > decoder_ddc_loss: 0.00904 (0.01294)\n",
" | > ga_loss: 0.00245 (0.00390)\n",
" | > decoder_diff_spec_loss: 6.08220 (5.87502)\n",
" | > postnet_diff_spec_loss: 8.95078 (8.90025)\n",
" | > decoder_ssim_loss: 0.62664 (0.56147)\n",
" | > postnet_ssim_loss: 0.62359 (0.55766)\n",
" | > loss: 9.08009 (8.93431)\n",
" | > align_error: 0.98710 (0.98173)\n",
" | > max_spec_length: 806.0\n",
" | > max_text_length: 142.0\n",
" | > step_time: 2.0185\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.00081875\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 55.55 sec -- GLOBAL_STEP: 3286\u001b[0m\n",
" | > avg_decoder_loss: 7.58972\n",
" | > avg_postnet_loss: 7.57625\n",
" | > avg_stopnet_loss: 12.14203\n",
" | > avg_decoder_coarse_loss: 4.65614\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92865\n",
" | > avg_postnet_diff_spec_loss: 9.02914\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55966\n",
" | > avg_loss: 8.99590\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.02109\n",
" | > avg_step_time: 1.76166\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62319 \u001b[0m(-0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 4.87263 \u001b[0m(-0.00047)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11026 \u001b[0m(-0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97052 \u001b[0m(-0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09410 \u001b[0m(+0.00002)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79335 \u001b[0m(-0.00002)\n",
" | > avg_loss:\u001b[92m 7.72659 \u001b[0m(-0.00012)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 106/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:40:55) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 13/30 -- GLOBAL_STEP: 3300\u001b[0m\n",
" | > decoder_loss: 7.64191 (7.54246)\n",
" | > postnet_loss: 7.65340 (7.47314)\n",
" | > stopnet_loss: 12.24554 (11.96038)\n",
" | > decoder_coarse_loss: 4.65705 (4.67485)\n",
" | > decoder_ddc_loss: 0.01056 (0.01450)\n",
" | > ga_loss: 0.00293 (0.00451)\n",
" | > decoder_diff_spec_loss: 6.02775 (5.79300)\n",
" | > postnet_diff_spec_loss: 8.91965 (8.85345)\n",
" | > decoder_ssim_loss: 0.62039 (0.54998)\n",
" | > postnet_ssim_loss: 0.61713 (0.54594)\n",
" | > loss: 9.05159 (8.88440)\n",
" | > align_error: 0.98512 (0.97965)\n",
" | > max_spec_length: 695.0\n",
" | > max_text_length: 121.0\n",
" | > step_time: 1.8611\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.000825\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 55.43 sec -- GLOBAL_STEP: 3317\u001b[0m\n",
" | > avg_decoder_loss: 7.58960\n",
" | > avg_postnet_loss: 7.57747\n",
" | > avg_stopnet_loss: 12.13990\n",
" | > avg_decoder_coarse_loss: 4.65598\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92837\n",
" | > avg_postnet_diff_spec_loss: 9.02881\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99598\n",
" | > avg_align_error: 0.98383\n",
" | > avg_loader_time: 0.01891\n",
" | > avg_step_time: 1.76917\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62317 \u001b[0m(-0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 4.87102 \u001b[0m(-0.00161)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11025 \u001b[0m(-0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97046 \u001b[0m(-0.00006)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09384 \u001b[0m(-0.00026)\n",
" | > avg_decoder_ssim_loss:\u001b[91m 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79334 \u001b[0m(-0.00001)\n",
" | > avg_loss:\u001b[92m 7.72610 \u001b[0m(-0.00049)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 107/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:42:07) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 7/30 -- GLOBAL_STEP: 3325\u001b[0m\n",
" | > decoder_loss: 7.55418 (7.47749)\n",
" | > postnet_loss: 7.06835 (7.27946)\n",
" | > stopnet_loss: 12.12441 (11.80672)\n",
" | > decoder_coarse_loss: 4.68448 (4.68232)\n",
" | > decoder_ddc_loss: 0.01608 (0.01704)\n",
" | > ga_loss: 0.00465 (0.00554)\n",
" | > decoder_diff_spec_loss: 5.80066 (5.64847)\n",
" | > postnet_diff_spec_loss: 9.22316 (8.81343)\n",
" | > decoder_ssim_loss: 0.36079 (0.48663)\n",
" | > postnet_ssim_loss: 0.35646 (0.48211)\n",
" | > loss: 8.78931 (8.74941)\n",
" | > align_error: 0.97711 (0.97589)\n",
" | > max_spec_length: 570.0\n",
" | > max_text_length: 80.0\n",
" | > step_time: 1.7387\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00083125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.24 sec -- GLOBAL_STEP: 3348\u001b[0m\n",
" | > avg_decoder_loss: 7.59003\n",
" | > avg_postnet_loss: 7.57599\n",
" | > avg_stopnet_loss: 12.13874\n",
" | > avg_decoder_coarse_loss: 4.65643\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92904\n",
" | > avg_postnet_diff_spec_loss: 9.03017\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55969\n",
" | > avg_loss: 8.99632\n",
" | > avg_align_error: 0.98379\n",
" | > avg_loader_time: 0.02013\n",
" | > avg_step_time: 1.72247\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62318 \u001b[0m(+0.00002)\n",
" | > avg_postnet_loss:\u001b[92m 4.86856 \u001b[0m(-0.00246)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11026 \u001b[0m(+0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97050 \u001b[0m(+0.00004)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09350 \u001b[0m(-0.00035)\n",
" | > avg_decoder_ssim_loss:\u001b[92m 0.81896 \u001b[0m(-0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79334 \u001b[0m(+0.00000)\n",
" | > avg_loss:\u001b[92m 7.72541 \u001b[0m(-0.00069)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 108/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:43:19) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 1/30 -- GLOBAL_STEP: 3350\u001b[0m\n",
" | > decoder_loss: 7.38986 (7.38986)\n",
" | > postnet_loss: 7.00927 (7.00927)\n",
" | > stopnet_loss: 11.77447 (11.77447)\n",
" | > decoder_coarse_loss: 4.68578 (4.68578)\n",
" | > decoder_ddc_loss: 0.02017 (0.02017)\n",
" | > ga_loss: 0.00680 (0.00680)\n",
" | > decoder_diff_spec_loss: 5.46892 (5.46892)\n",
" | > postnet_diff_spec_loss: 8.91890 (8.91890)\n",
" | > decoder_ssim_loss: 0.36327 (0.36327)\n",
" | > postnet_ssim_loss: 0.35811 (0.35811)\n",
" | > loss: 8.58758 (8.58758)\n",
" | > align_error: 0.97077 (0.97077)\n",
" | > max_spec_length: 364.0\n",
" | > max_text_length: 58.0\n",
" | > step_time: 1.4568\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.0008375\n",
"\n",
"\u001b[1m --> STEP: 26/30 -- GLOBAL_STEP: 3375\u001b[0m\n",
" | > decoder_loss: 7.68547 (7.60559)\n",
" | > postnet_loss: 7.74113 (7.55905)\n",
" | > stopnet_loss: 12.40636 (12.15723)\n",
" | > decoder_coarse_loss: 4.64494 (4.66274)\n",
" | > decoder_ddc_loss: 0.00717 (0.01146)\n",
" | > ga_loss: 0.00188 (0.00339)\n",
" | > decoder_diff_spec_loss: 6.14071 (5.94453)\n",
" | > postnet_diff_spec_loss: 9.01184 (8.93760)\n",
" | > decoder_ssim_loss: 0.64260 (0.57711)\n",
" | > postnet_ssim_loss: 0.63981 (0.57355)\n",
" | > loss: 9.13781 (8.98486)\n",
" | > align_error: 0.98982 (0.98376)\n",
" | > max_spec_length: 1002.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.8249\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00084375\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 55.54 sec -- GLOBAL_STEP: 3379\u001b[0m\n",
" | > avg_decoder_loss: 7.59042\n",
" | > avg_postnet_loss: 7.57727\n",
" | > avg_stopnet_loss: 12.13996\n",
" | > avg_decoder_coarse_loss: 4.65603\n",
" | > avg_decoder_ddc_loss: 0.01155\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92996\n",
" | > avg_postnet_diff_spec_loss: 9.02996\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99682\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.01787\n",
" | > avg_step_time: 1.76260\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62319 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[92m 4.86854 \u001b[0m(-0.00002)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97053 \u001b[0m(+0.00003)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09397 \u001b[0m(+0.00048)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79329 \u001b[0m(-0.00005)\n",
" | > avg_loss:\u001b[91m 7.72552 \u001b[0m(+0.00011)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 109/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:44:31) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 20/30 -- GLOBAL_STEP: 3400\u001b[0m\n",
" | > decoder_loss: 7.67182 (7.58238)\n",
" | > postnet_loss: 7.73687 (7.51988)\n",
" | > stopnet_loss: 12.37318 (12.08446)\n",
" | > decoder_coarse_loss: 4.64605 (4.66688)\n",
" | > decoder_ddc_loss: 0.00779 (0.01269)\n",
" | > ga_loss: 0.00211 (0.00380)\n",
" | > decoder_diff_spec_loss: 6.11075 (5.88913)\n",
" | > postnet_diff_spec_loss: 8.98183 (8.90920)\n",
" | > decoder_ssim_loss: 0.64395 (0.56560)\n",
" | > postnet_ssim_loss: 0.64109 (0.56185)\n",
" | > loss: 9.12056 (8.94593)\n",
" | > align_error: 0.98887 (0.98211)\n",
" | > max_spec_length: 918.0\n",
" | > max_text_length: 164.0\n",
" | > step_time: 2.6338\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.0008500000000000001\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 56.67 sec -- GLOBAL_STEP: 3410\u001b[0m\n",
" | > avg_decoder_loss: 7.59043\n",
" | > avg_postnet_loss: 7.57627\n",
" | > avg_stopnet_loss: 12.13919\n",
" | > avg_decoder_coarse_loss: 4.65601\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92980\n",
" | > avg_postnet_diff_spec_loss: 9.03332\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99736\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01700\n",
" | > avg_step_time: 1.80649\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62319 \u001b[0m(-0.00000)\n",
" | > avg_postnet_loss:\u001b[92m 4.86845 \u001b[0m(-0.00009)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11026 \u001b[0m(-0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97051 \u001b[0m(-0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09331 \u001b[0m(-0.00066)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79330 \u001b[0m(+0.00001)\n",
" | > avg_loss:\u001b[92m 7.72533 \u001b[0m(-0.00019)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 110/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:45:46) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 14/30 -- GLOBAL_STEP: 3425\u001b[0m\n",
" | > decoder_loss: 7.63739 (7.54911)\n",
" | > postnet_loss: 7.46501 (7.46897)\n",
" | > stopnet_loss: 12.26158 (11.98284)\n",
" | > decoder_coarse_loss: 4.65389 (4.67336)\n",
" | > decoder_ddc_loss: 0.01099 (0.01426)\n",
" | > ga_loss: 0.00290 (0.00440)\n",
" | > decoder_diff_spec_loss: 6.02360 (5.80907)\n",
" | > postnet_diff_spec_loss: 8.98163 (8.86281)\n",
" | > decoder_ssim_loss: 0.54905 (0.54992)\n",
" | > postnet_ssim_loss: 0.54554 (0.54589)\n",
" | > loss: 8.98130 (8.89033)\n",
" | > align_error: 0.98458 (0.97995)\n",
" | > max_spec_length: 719.0\n",
" | > max_text_length: 119.0\n",
" | > step_time: 2.0492\n",
" | > loader_time: 0.04\n",
" | > current_lr: 0.00085625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 58.02 sec -- GLOBAL_STEP: 3441\u001b[0m\n",
" | > avg_decoder_loss: 7.59010\n",
" | > avg_postnet_loss: 7.57626\n",
" | > avg_stopnet_loss: 12.14191\n",
" | > avg_decoder_coarse_loss: 4.65629\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92908\n",
" | > avg_postnet_diff_spec_loss: 9.03144\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55966\n",
" | > avg_loss: 8.99670\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.02010\n",
" | > avg_step_time: 1.84868\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62318 \u001b[0m(-0.00000)\n",
" | > avg_postnet_loss:\u001b[91m 4.86941 \u001b[0m(+0.00096)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11026 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97051 \u001b[0m(-0.00000)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09387 \u001b[0m(+0.00056)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79332 \u001b[0m(+0.00003)\n",
" | > avg_loss:\u001b[91m 7.72571 \u001b[0m(+0.00038)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 111/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:47:02) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 8/30 -- GLOBAL_STEP: 3450\u001b[0m\n",
" | > decoder_loss: 7.60720 (7.49233)\n",
" | > postnet_loss: 7.91794 (7.35686)\n",
" | > stopnet_loss: 12.01490 (11.84382)\n",
" | > decoder_coarse_loss: 4.67290 (4.68118)\n",
" | > decoder_ddc_loss: 0.01182 (0.01638)\n",
" | > ga_loss: 0.00346 (0.00527)\n",
" | > decoder_diff_spec_loss: 5.92881 (5.68054)\n",
" | > postnet_diff_spec_loss: 8.83507 (8.81420)\n",
" | > decoder_ssim_loss: 0.69840 (0.51311)\n",
" | > postnet_ssim_loss: 0.69510 (0.50869)\n",
" | > loss: 9.10912 (8.79218)\n",
" | > align_error: 0.98377 (0.97696)\n",
" | > max_spec_length: 495.0\n",
" | > max_text_length: 103.0\n",
" | > step_time: 1.4229\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.0008625000000000001\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 56.11 sec -- GLOBAL_STEP: 3472\u001b[0m\n",
" | > avg_decoder_loss: 7.59003\n",
" | > avg_postnet_loss: 7.57590\n",
" | > avg_stopnet_loss: 12.13997\n",
" | > avg_decoder_coarse_loss: 4.65634\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92909\n",
" | > avg_postnet_diff_spec_loss: 9.03221\n",
" | > avg_decoder_ssim_loss: 0.56330\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99681\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.02037\n",
" | > avg_step_time: 1.78049\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62318 \u001b[0m(-0.00000)\n",
" | > avg_postnet_loss:\u001b[91m 4.87086 \u001b[0m(+0.00144)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11026 \u001b[0m(-0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97050 \u001b[0m(-0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09330 \u001b[0m(-0.00057)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79334 \u001b[0m(+0.00002)\n",
" | > avg_loss:\u001b[91m 7.72594 \u001b[0m(+0.00022)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 112/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:48:15) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 2/30 -- GLOBAL_STEP: 3475\u001b[0m\n",
" | > decoder_loss: 7.37252 (7.38130)\n",
" | > postnet_loss: 7.21064 (7.10927)\n",
" | > stopnet_loss: 11.54190 (11.65287)\n",
" | > decoder_coarse_loss: 4.67779 (4.68215)\n",
" | > decoder_ddc_loss: 0.01887 (0.01948)\n",
" | > ga_loss: 0.00688 (0.00682)\n",
" | > decoder_diff_spec_loss: 5.44277 (5.45436)\n",
" | > postnet_diff_spec_loss: 8.56999 (8.75647)\n",
" | > decoder_ssim_loss: 0.49798 (0.43063)\n",
" | > postnet_ssim_loss: 0.49284 (0.42550)\n",
" | > loss: 8.60525 (8.59889)\n",
" | > align_error: 0.97233 (0.97166)\n",
" | > max_spec_length: 296.0\n",
" | > max_text_length: 58.0\n",
" | > step_time: 1.6704\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.00086875\n",
"\n",
"\u001b[1m --> STEP: 27/30 -- GLOBAL_STEP: 3500\u001b[0m\n",
" | > decoder_loss: 7.69128 (7.60784)\n",
" | > postnet_loss: 7.54249 (7.55411)\n",
" | > stopnet_loss: 12.44015 (12.17113)\n",
" | > decoder_coarse_loss: 4.64881 (4.66242)\n",
" | > decoder_ddc_loss: 0.00721 (0.01131)\n",
" | > ga_loss: 0.00193 (0.00334)\n",
" | > decoder_diff_spec_loss: 6.14448 (5.94998)\n",
" | > postnet_diff_spec_loss: 9.04655 (8.93865)\n",
" | > decoder_ssim_loss: 0.57471 (0.57702)\n",
" | > postnet_ssim_loss: 0.57165 (0.57347)\n",
" | > loss: 9.06647 (8.98539)\n",
" | > align_error: 0.98941 (0.98400)\n",
" | > max_spec_length: 1075.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.9626\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0008749999999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 57.28 sec -- GLOBAL_STEP: 3503\u001b[0m\n",
" | > avg_decoder_loss: 7.59034\n",
" | > avg_postnet_loss: 7.57391\n",
" | > avg_stopnet_loss: 12.14261\n",
" | > avg_decoder_coarse_loss: 4.65629\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92974\n",
" | > avg_postnet_diff_spec_loss: 9.02631\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99507\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.02204\n",
" | > avg_step_time: 1.82213\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62320 \u001b[0m(+0.00002)\n",
" | > avg_postnet_loss:\u001b[91m 4.87226 \u001b[0m(+0.00140)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11027 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97055 \u001b[0m(+0.00005)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09422 \u001b[0m(+0.00092)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79333 \u001b[0m(-0.00001)\n",
" | > avg_loss:\u001b[91m 7.72653 \u001b[0m(+0.00059)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 113/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:49:30) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 21/30 -- GLOBAL_STEP: 3525\u001b[0m\n",
" | > decoder_loss: 7.68056 (7.58609)\n",
" | > postnet_loss: 7.87955 (7.53782)\n",
" | > stopnet_loss: 12.36939 (12.09566)\n",
" | > decoder_coarse_loss: 4.64901 (4.66598)\n",
" | > decoder_ddc_loss: 0.00726 (0.01244)\n",
" | > ga_loss: 0.00210 (0.00373)\n",
" | > decoder_diff_spec_loss: 6.12437 (5.89807)\n",
" | > postnet_diff_spec_loss: 8.97891 (8.90983)\n",
" | > decoder_ssim_loss: 0.68628 (0.57134)\n",
" | > postnet_ssim_loss: 0.68358 (0.56765)\n",
" | > loss: 9.18289 (8.95596)\n",
" | > align_error: 0.98955 (0.98245)\n",
" | > max_spec_length: 889.0\n",
" | > max_text_length: 173.0\n",
" | > step_time: 1.9834\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00088125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 60.09 sec -- GLOBAL_STEP: 3534\u001b[0m\n",
" | > avg_decoder_loss: 7.58994\n",
" | > avg_postnet_loss: 7.57545\n",
" | > avg_stopnet_loss: 12.13836\n",
" | > avg_decoder_coarse_loss: 4.65590\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92871\n",
" | > avg_postnet_diff_spec_loss: 9.02858\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55969\n",
" | > avg_loss: 8.99556\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.02143\n",
" | > avg_step_time: 1.90783\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62321 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 4.87332 \u001b[0m(+0.00106)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97057 \u001b[0m(+0.00002)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09404 \u001b[0m(-0.00018)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79337 \u001b[0m(+0.00004)\n",
" | > avg_loss:\u001b[91m 7.72676 \u001b[0m(+0.00024)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 114/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:50:48) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 15/30 -- GLOBAL_STEP: 3550\u001b[0m\n",
" | > decoder_loss: 7.63467 (7.55459)\n",
" | > postnet_loss: 7.50910 (7.46843)\n",
" | > stopnet_loss: 12.26329 (11.99509)\n",
" | > decoder_coarse_loss: 4.65177 (4.67233)\n",
" | > decoder_ddc_loss: 0.01031 (0.01399)\n",
" | > ga_loss: 0.00281 (0.00429)\n",
" | > decoder_diff_spec_loss: 6.02641 (5.82311)\n",
" | > postnet_diff_spec_loss: 8.95187 (8.86424)\n",
" | > decoder_ssim_loss: 0.57238 (0.55141)\n",
" | > postnet_ssim_loss: 0.56900 (0.54746)\n",
" | > loss: 8.99541 (8.89536)\n",
" | > align_error: 0.98536 (0.98032)\n",
" | > max_spec_length: 725.0\n",
" | > max_text_length: 124.0\n",
" | > step_time: 1.8479\n",
" | > loader_time: 0.04\n",
" | > current_lr: 0.0008874999999999999\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.53 sec -- GLOBAL_STEP: 3565\u001b[0m\n",
" | > avg_decoder_loss: 7.59018\n",
" | > avg_postnet_loss: 7.57390\n",
" | > avg_stopnet_loss: 12.13743\n",
" | > avg_decoder_coarse_loss: 4.65631\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92925\n",
" | > avg_postnet_diff_spec_loss: 9.02792\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99530\n",
" | > avg_align_error: 0.98380\n",
" | > avg_loader_time: 0.01779\n",
" | > avg_step_time: 1.73174\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62318 \u001b[0m(-0.00003)\n",
" | > avg_postnet_loss:\u001b[92m 4.86796 \u001b[0m(-0.00536)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11026 \u001b[0m(-0.00003)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01190 \u001b[0m(+0.00001)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97049 \u001b[0m(-0.00008)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09350 \u001b[0m(-0.00054)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79332 \u001b[0m(-0.00005)\n",
" | > avg_loss:\u001b[92m 7.72525 \u001b[0m(-0.00151)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 115/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:51:59) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 9/30 -- GLOBAL_STEP: 3575\u001b[0m\n",
" | > decoder_loss: 7.61249 (7.50679)\n",
" | > postnet_loss: 7.19750 (7.33532)\n",
" | > stopnet_loss: 12.24449 (11.87988)\n",
" | > decoder_coarse_loss: 4.67118 (4.67968)\n",
" | > decoder_ddc_loss: 0.01240 (0.01592)\n",
" | > ga_loss: 0.00355 (0.00508)\n",
" | > decoder_diff_spec_loss: 5.94173 (5.71204)\n",
" | > postnet_diff_spec_loss: 9.08564 (8.83449)\n",
" | > decoder_ssim_loss: 0.43828 (0.50479)\n",
" | > postnet_ssim_loss: 0.43431 (0.50044)\n",
" | > loss: 8.86613 (8.79776)\n",
" | > align_error: 0.98223 (0.97751)\n",
" | > max_spec_length: 684.0\n",
" | > max_text_length: 104.0\n",
" | > step_time: 1.8402\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00089375\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.80 sec -- GLOBAL_STEP: 3596\u001b[0m\n",
" | > avg_decoder_loss: 7.58983\n",
" | > avg_postnet_loss: 7.57331\n",
" | > avg_stopnet_loss: 12.13897\n",
" | > avg_decoder_coarse_loss: 4.65613\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92873\n",
" | > avg_postnet_diff_spec_loss: 9.02478\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99410\n",
" | > avg_align_error: 0.98379\n",
" | > avg_loader_time: 0.01807\n",
" | > avg_step_time: 1.74043\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62317 \u001b[0m(-0.00000)\n",
" | > avg_postnet_loss:\u001b[91m 4.86929 \u001b[0m(+0.00132)\n",
" | > avg_stopnet_loss:\u001b[92m 12.11025 \u001b[0m(-0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00000)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01190 \u001b[0m(-0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97048 \u001b[0m(-0.00000)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09326 \u001b[0m(-0.00024)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79333 \u001b[0m(+0.00001)\n",
" | > avg_loss:\u001b[91m 7.72552 \u001b[0m(+0.00027)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 116/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:53:11) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 3/30 -- GLOBAL_STEP: 3600\u001b[0m\n",
" | > decoder_loss: 7.36653 (7.37369)\n",
" | > postnet_loss: 7.14673 (7.12819)\n",
" | > stopnet_loss: 11.53013 (11.58702)\n",
" | > decoder_coarse_loss: 4.68931 (4.68505)\n",
" | > decoder_ddc_loss: 0.01965 (0.01955)\n",
" | > ga_loss: 0.00671 (0.00679)\n",
" | > decoder_diff_spec_loss: 5.41394 (5.43483)\n",
" | > postnet_diff_spec_loss: 8.64324 (8.71252)\n",
" | > decoder_ssim_loss: 0.45889 (0.44005)\n",
" | > postnet_ssim_loss: 0.45359 (0.43482)\n",
" | > loss: 8.58151 (8.59113)\n",
" | > align_error: 0.97295 (0.97197)\n",
" | > max_spec_length: 303.0\n",
" | > max_text_length: 58.0\n",
" | > step_time: 1.3859\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.0009\n",
"\n",
"\u001b[1m --> STEP: 28/30 -- GLOBAL_STEP: 3625\u001b[0m\n",
" | > decoder_loss: 7.59953 (7.60670)\n",
" | > postnet_loss: 6.99197 (7.53618)\n",
" | > stopnet_loss: 12.42650 (12.17699)\n",
" | > decoder_coarse_loss: 4.62517 (4.66093)\n",
" | > decoder_ddc_loss: 0.00608 (0.01113)\n",
" | > ga_loss: 0.00210 (0.00329)\n",
" | > decoder_diff_spec_loss: 6.02472 (5.95044)\n",
" | > postnet_diff_spec_loss: 9.71904 (8.96784)\n",
" | > decoder_ssim_loss: 0.27391 (0.56619)\n",
" | > postnet_ssim_loss: 0.27009 (0.56264)\n",
" | > loss: 8.88811 (8.98197)\n",
" | > align_error: 0.98923 (0.98418)\n",
" | > max_spec_length: 1026.0\n",
" | > max_text_length: 180.0\n",
" | > step_time: 1.8334\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.00090625\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 55.09 sec -- GLOBAL_STEP: 3627\u001b[0m\n",
" | > avg_decoder_loss: 7.58922\n",
" | > avg_postnet_loss: 7.57630\n",
" | > avg_stopnet_loss: 12.13962\n",
" | > avg_decoder_coarse_loss: 4.65617\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92710\n",
" | > avg_postnet_diff_spec_loss: 9.02993\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99559\n",
" | > avg_align_error: 0.98382\n",
" | > avg_loader_time: 0.01723\n",
" | > avg_step_time: 1.75532\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62320 \u001b[0m(+0.00002)\n",
" | > avg_postnet_loss:\u001b[91m 4.87367 \u001b[0m(+0.00438)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00002)\n",
" | > avg_decoder_coarse_loss:\u001b[91m 4.65761 \u001b[0m(+0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[92m 0.01189 \u001b[0m(-0.00001)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97055 \u001b[0m(+0.00006)\n",
" | > avg_postnet_diff_spec_loss:\u001b[91m 6.09431 \u001b[0m(+0.00105)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79337 \u001b[0m(+0.00004)\n",
" | > avg_loss:\u001b[91m 7.72691 \u001b[0m(+0.00139)\n",
" | > avg_align_error:\u001b[91m 0.98581 \u001b[0m(+0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 117/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:54:22) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 22/30 -- GLOBAL_STEP: 3650\u001b[0m\n",
" | > decoder_loss: 7.68565 (7.59035)\n",
" | > postnet_loss: 8.12580 (7.56307)\n",
" | > stopnet_loss: 12.32169 (12.11023)\n",
" | > decoder_coarse_loss: 4.66106 (4.66559)\n",
" | > decoder_ddc_loss: 0.00767 (0.01222)\n",
" | > ga_loss: 0.00207 (0.00365)\n",
" | > decoder_diff_spec_loss: 6.10548 (5.90726)\n",
" | > postnet_diff_spec_loss: 9.01367 (8.91190)\n",
" | > decoder_ssim_loss: 0.74674 (0.57932)\n",
" | > postnet_ssim_loss: 0.74419 (0.57568)\n",
" | > loss: 9.28293 (8.96961)\n",
" | > align_error: 0.98937 (0.98276)\n",
" | > max_spec_length: 821.0\n",
" | > max_text_length: 165.0\n",
" | > step_time: 1.8152\n",
" | > loader_time: 0.01\n",
" | > current_lr: 0.0009125\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.92 sec -- GLOBAL_STEP: 3658\u001b[0m\n",
" | > avg_decoder_loss: 7.58956\n",
" | > avg_postnet_loss: 7.57462\n",
" | > avg_stopnet_loss: 12.14082\n",
" | > avg_decoder_coarse_loss: 4.65590\n",
" | > avg_decoder_ddc_loss: 0.01156\n",
" | > avg_ga_loss: 0.00346\n",
" | > avg_decoder_diff_spec_loss: 5.92817\n",
" | > avg_postnet_diff_spec_loss: 9.02634\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55969\n",
" | > avg_loss: 8.99457\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01767\n",
" | > avg_step_time: 1.74129\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[92m 7.62320 \u001b[0m(-0.00000)\n",
" | > avg_postnet_loss:\u001b[92m 4.86732 \u001b[0m(-0.00634)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00000)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65761 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[91m 0.00321 \u001b[0m(+0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[92m 5.97054 \u001b[0m(-0.00001)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09339 \u001b[0m(-0.00092)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[92m 0.79332 \u001b[0m(-0.00005)\n",
" | > avg_loss:\u001b[92m 7.72508 \u001b[0m(-0.00183)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 118/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:55:34) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 16/30 -- GLOBAL_STEP: 3675\u001b[0m\n",
" | > decoder_loss: 7.66125 (7.56148)\n",
" | > postnet_loss: 8.17316 (7.51723)\n",
" | > stopnet_loss: 12.24507 (12.01340)\n",
" | > decoder_coarse_loss: 4.65593 (4.67121)\n",
" | > decoder_ddc_loss: 0.00926 (0.01372)\n",
" | > ga_loss: 0.00240 (0.00417)\n",
" | > decoder_diff_spec_loss: 6.06880 (5.83882)\n",
" | > postnet_diff_spec_loss: 9.00216 (8.87833)\n",
" | > decoder_ssim_loss: 0.75988 (0.56444)\n",
" | > postnet_ssim_loss: 0.75716 (0.56056)\n",
" | > loss: 9.28387 (8.92230)\n",
" | > align_error: 0.98737 (0.98079)\n",
" | > max_spec_length: 682.0\n",
" | > max_text_length: 139.0\n",
" | > step_time: 1.7425\n",
" | > loader_time: 0.03\n",
" | > current_lr: 0.0009187500000000001\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 54.42 sec -- GLOBAL_STEP: 3689\u001b[0m\n",
" | > avg_decoder_loss: 7.59003\n",
" | > avg_postnet_loss: 7.57475\n",
" | > avg_stopnet_loss: 12.13800\n",
" | > avg_decoder_coarse_loss: 4.65631\n",
" | > avg_decoder_ddc_loss: 0.01157\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92888\n",
" | > avg_postnet_diff_spec_loss: 9.02897\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99564\n",
" | > avg_align_error: 0.98383\n",
" | > avg_loader_time: 0.01856\n",
" | > avg_step_time: 1.72460\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n",
"warning: audio amplitude out of range, auto clipped.\n",
" | > Synthesizing test sentences\n",
"WARNING: You don't provided a gst style wav, for this reason we use a zero tensor!\n",
" \u001b[1m--> EVAL PERFORMANCE\u001b[0m\n",
" | > avg_decoder_loss:\u001b[91m 7.62321 \u001b[0m(+0.00001)\n",
" | > avg_postnet_loss:\u001b[91m 4.86996 \u001b[0m(+0.00264)\n",
" | > avg_stopnet_loss:\u001b[91m 12.11028 \u001b[0m(+0.00001)\n",
" | > avg_decoder_coarse_loss:\u001b[92m 4.65760 \u001b[0m(-0.00001)\n",
" | > avg_decoder_ddc_loss:\u001b[91m 0.01189 \u001b[0m(+0.00000)\n",
" | > avg_ga_loss:\u001b[92m 0.00321 \u001b[0m(-0.00000)\n",
" | > avg_decoder_diff_spec_loss:\u001b[91m 5.97057 \u001b[0m(+0.00003)\n",
" | > avg_postnet_diff_spec_loss:\u001b[92m 6.09303 \u001b[0m(-0.00035)\n",
" | > avg_decoder_ssim_loss: 0.81896 \u001b[0m(+0.00000)\n",
" | > avg_postnet_ssim_loss:\u001b[91m 0.79334 \u001b[0m(+0.00002)\n",
" | > avg_loss:\u001b[91m 7.72567 \u001b[0m(+0.00059)\n",
" | > avg_align_error:\u001b[92m 0.98581 \u001b[0m(-0.00000)\n",
"\n",
"\n",
"\u001b[4m\u001b[1m > EPOCH: 119/1000\u001b[0m\n",
"\n",
" > Number of output frames: 6\n",
"\n",
"\u001b[1m > TRAINING (2021-07-01 12:56:46) \u001b[0m\n",
"\n",
"\u001b[1m --> STEP: 10/30 -- GLOBAL_STEP: 3700\u001b[0m\n",
" | > decoder_loss: 7.59614 (7.51535)\n",
" | > postnet_loss: 7.93823 (7.39772)\n",
" | > stopnet_loss: 11.99435 (11.89751)\n",
" | > decoder_coarse_loss: 4.66751 (4.67893)\n",
" | > decoder_ddc_loss: 0.01214 (0.01558)\n",
" | > ga_loss: 0.00356 (0.00493)\n",
" | > decoder_diff_spec_loss: 5.91795 (5.73204)\n",
" | > postnet_diff_spec_loss: 8.83382 (8.84239)\n",
" | > decoder_ssim_loss: 0.70907 (0.52522)\n",
" | > postnet_ssim_loss: 0.70573 (0.52096)\n",
" | > loss: 9.11297 (8.83168)\n",
" | > align_error: 0.98344 (0.97812)\n",
" | > max_spec_length: 484.0\n",
" | > max_text_length: 101.0\n",
" | > step_time: 1.5117\n",
" | > loader_time: 0.02\n",
" | > current_lr: 0.000925\n",
"\n",
"\u001b[1m --> TRAIN PERFORMACE -- EPOCH TIME: 55.37 sec -- GLOBAL_STEP: 3720\u001b[0m\n",
" | > avg_decoder_loss: 7.58964\n",
" | > avg_postnet_loss: 7.57233\n",
" | > avg_stopnet_loss: 12.13896\n",
" | > avg_decoder_coarse_loss: 4.65630\n",
" | > avg_decoder_ddc_loss: 0.01158\n",
" | > avg_ga_loss: 0.00345\n",
" | > avg_decoder_diff_spec_loss: 5.92856\n",
" | > avg_postnet_diff_spec_loss: 9.02842\n",
" | > avg_decoder_ssim_loss: 0.56329\n",
" | > avg_postnet_ssim_loss: 0.55968\n",
" | > avg_loss: 8.99472\n",
" | > avg_align_error: 0.98381\n",
" | > avg_loader_time: 0.01759\n",
" | > avg_step_time: 1.75583\n",
"\n",
"\u001b[1m > EVALUATION \u001b[0m\n",
"\n"
],
"name": "stdout"
}
]
}
]
}
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