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example notebook for training GPT-Neo
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Training_GPT_Neo.ipynb
{
"cells": [
{
"cell_type": "markdown",
"source": [
"# Training GPT-Neo models with custom dataset\n",
"You can either run this notebook on JupyterLab, or run commands below in a terminal\n",
"\n",
"Required packages:\n",
"```\n",
"conda create --name myenv python=3.6\n",
"conda activate myenv\n",
"pip install torch==1.9.0\n",
"pip install datasets==1.10.2\n",
"git clone https://github.com/huggingface/transformers.git\n",
"git checkout tags/v4.9.1\n",
"cd transformers\n",
"pip install -e .\n",
"cd ..\n",
"```\n",
"\n",
"Additional commands if running on JupyterLab:\n",
"```\n",
"conda install jupyter\n",
"conda install nb_conda\n",
"conda install ipykernel\n",
"python -m ipykernel install --user --name myenv\n",
"```\n",
"\n",
"Recommended CPU instance: c5.12xlarge\n",
"\n",
"**Note:** This does not work on a GPU instance!"
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"### Create or upload your custom dataset\n",
"**Note:** when creating the training data file, put every data sample (a sequence of words) as a separate row and have only **one** column with the column name \"text\""
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 1,
"source": [
"%%writefile train_data.csv\n",
"text\n",
"a\n",
"b\n",
"c"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Writing train_data.csv\n"
]
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"### Continue to pre-train!"
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 3,
"source": [
"model = \"EleutherAI/gpt-neo-1.3B\" #@param [\"EleutherAI/gpt-neo-1.3B\", \"gpt2\"]\n",
"num_train_epochs = 3 #@param {type:\"integer\"}"
],
"outputs": [],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 4,
"source": [
"!python transformers/examples/pytorch/language-modeling/run_clm.py \\\n",
" --model_name_or_path {model} \\\n",
" --train_file train_data.csv \\\n",
" --do_train --per_device_train_batch_size 1 \\\n",
" --output_dir tmp/test-clm \\\n",
" --overwrite_output_dir \\\n",
" --num_train_epochs {num_train_epochs}"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"07/30/2021 20:47:37 - WARNING - __main__ - Process rank: -1, device: cpu, n_gpu: 0distributed training: False, 16-bits training: False\n",
"07/30/2021 20:47:37 - INFO - __main__ - Training/evaluation parameters TrainingArguments(\n",
"_n_gpu=0,\n",
"adafactor=False,\n",
"adam_beta1=0.9,\n",
"adam_beta2=0.999,\n",
"adam_epsilon=1e-08,\n",
"dataloader_drop_last=False,\n",
"dataloader_num_workers=0,\n",
"dataloader_pin_memory=True,\n",
"ddp_find_unused_parameters=None,\n",
"debug=[],\n",
"deepspeed=None,\n",
"disable_tqdm=False,\n",
"do_eval=False,\n",
"do_predict=False,\n",
"do_train=True,\n",
"eval_accumulation_steps=None,\n",
"eval_steps=None,\n",
"evaluation_strategy=IntervalStrategy.NO,\n",
"fp16=False,\n",
"fp16_backend=auto,\n",
"fp16_full_eval=False,\n",
"fp16_opt_level=O1,\n",
"gradient_accumulation_steps=1,\n",
"greater_is_better=None,\n",
"group_by_length=False,\n",
"ignore_data_skip=False,\n",
"label_names=None,\n",
"label_smoothing_factor=0.0,\n",
"learning_rate=5e-05,\n",
"length_column_name=length,\n",
"load_best_model_at_end=False,\n",
"local_rank=-1,\n",
"log_level=-1,\n",
"log_level_replica=-1,\n",
"log_on_each_node=True,\n",
"logging_dir=tmp/test-clm/runs/Jul30_20-47-37_ip-172-31-54-251,\n",
"logging_first_step=False,\n",
"logging_steps=500,\n",
"logging_strategy=IntervalStrategy.STEPS,\n",
"lr_scheduler_type=SchedulerType.LINEAR,\n",
"max_grad_norm=1.0,\n",
"max_steps=-1,\n",
"metric_for_best_model=None,\n",
"mp_parameters=,\n",
"no_cuda=False,\n",
"num_train_epochs=3.0,\n",
"output_dir=tmp/test-clm,\n",
"overwrite_output_dir=True,\n",
"past_index=-1,\n",
"per_device_eval_batch_size=8,\n",
"per_device_train_batch_size=1,\n",
"prediction_loss_only=False,\n",
"push_to_hub=False,\n",
"push_to_hub_model_id=test-clm,\n",
"push_to_hub_organization=None,\n",
"push_to_hub_token=None,\n",
"remove_unused_columns=True,\n",
"report_to=[],\n",
"resume_from_checkpoint=None,\n",
"run_name=tmp/test-clm,\n",
"save_on_each_node=False,\n",
"save_steps=500,\n",
"save_strategy=IntervalStrategy.STEPS,\n",
"save_total_limit=None,\n",
"seed=42,\n",
"sharded_ddp=[],\n",
"skip_memory_metrics=True,\n",
"tpu_metrics_debug=False,\n",
"tpu_num_cores=None,\n",
"use_legacy_prediction_loop=False,\n",
"warmup_ratio=0.0,\n",
"warmup_steps=0,\n",
"weight_decay=0.0,\n",
")\n",
"07/30/2021 20:47:37 - WARNING - datasets.builder - Using custom data configuration default-822c539f89fcc9d9\n",
"07/30/2021 20:47:37 - INFO - datasets.builder - Generating dataset csv (/home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff)\n",
"Downloading and preparing dataset csv/default (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff...\n",
"100%|██████████████████████████████████████████| 1/1 [00:00<00:00, 11096.04it/s]\n",
"07/30/2021 20:47:37 - INFO - datasets.utils.download_manager - Downloading took 0.0 min\n",
"07/30/2021 20:47:37 - INFO - datasets.utils.download_manager - Checksum Computation took 0.0 min\n",
"100%|███████████████████████████████████████████| 1/1 [00:00<00:00, 2157.56it/s]\n",
"07/30/2021 20:47:37 - INFO - datasets.utils.info_utils - Unable to verify checksums.\n",
"07/30/2021 20:47:37 - INFO - datasets.builder - Generating split train\n",
"07/30/2021 20:47:37 - INFO - datasets.utils.info_utils - Unable to verify splits sizes.\n",
"Dataset csv downloaded and prepared to /home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff. Subsequent calls will reuse this data.\n",
"100%|███████████████████████████████████████████| 1/1 [00:00<00:00, 1100.29it/s]\n",
"07/30/2021 20:47:37 - WARNING - datasets.builder - Using custom data configuration default-822c539f89fcc9d9\n",
"07/30/2021 20:47:37 - INFO - datasets.builder - Overwrite dataset info from restored data version.\n",
"07/30/2021 20:47:37 - INFO - datasets.info - Loading Dataset info from /home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff\n",
"07/30/2021 20:47:37 - WARNING - datasets.builder - Reusing dataset csv (/home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff)\n",
"07/30/2021 20:47:37 - INFO - datasets.info - Loading Dataset info from /home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff\n",
"07/30/2021 20:47:37 - WARNING - datasets.builder - Using custom data configuration default-822c539f89fcc9d9\n",
"07/30/2021 20:47:37 - INFO - datasets.builder - Overwrite dataset info from restored data version.\n",
"07/30/2021 20:47:37 - INFO - datasets.info - Loading Dataset info from /home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff\n",
"07/30/2021 20:47:37 - WARNING - datasets.builder - Reusing dataset csv (/home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff)\n",
"07/30/2021 20:47:37 - INFO - datasets.info - Loading Dataset info from /home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff\n",
"[INFO|configuration_utils.py:545] 2021-07-30 20:47:37,750 >> loading configuration file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/config.json from cache at /home/ubuntu/.cache/huggingface/transformers/42252c2220ae3f9f1ea86a994b63e1dcab20953ba8982117c2384587f7c01c5d.102e6e06599c480a8e55be9ba8dc6226140c958f3cd489f61627520db6817595\n",
"[INFO|configuration_utils.py:581] 2021-07-30 20:47:37,751 >> Model config GPTNeoConfig {\n",
" \"activation_function\": \"gelu_new\",\n",
" \"architectures\": [\n",
" \"GPTNeoForCausalLM\"\n",
" ],\n",
" \"attention_dropout\": 0,\n",
" \"attention_layers\": [\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\"\n",
" ],\n",
" \"attention_types\": [\n",
" [\n",
" [\n",
" \"global\",\n",
" \"local\"\n",
" ],\n",
" 12\n",
" ]\n",
" ],\n",
" \"bos_token_id\": 50256,\n",
" \"embed_dropout\": 0,\n",
" \"eos_token_id\": 50256,\n",
" \"gradient_checkpointing\": false,\n",
" \"hidden_size\": 2048,\n",
" \"initializer_range\": 0.02,\n",
" \"intermediate_size\": null,\n",
" \"layer_norm_epsilon\": 1e-05,\n",
" \"max_position_embeddings\": 2048,\n",
" \"model_type\": \"gpt_neo\",\n",
" \"num_heads\": 16,\n",
" \"num_layers\": 24,\n",
" \"resid_dropout\": 0,\n",
" \"summary_activation\": null,\n",
" \"summary_first_dropout\": 0.1,\n",
" \"summary_proj_to_labels\": true,\n",
" \"summary_type\": \"cls_index\",\n",
" \"summary_use_proj\": true,\n",
" \"task_specific_params\": {\n",
" \"text-generation\": {\n",
" \"do_sample\": true,\n",
" \"max_length\": 50,\n",
" \"temperature\": 0.9\n",
" }\n",
" },\n",
" \"tokenizer_class\": \"GPT2Tokenizer\",\n",
" \"transformers_version\": \"4.9.1\",\n",
" \"use_cache\": true,\n",
" \"vocab_size\": 50257,\n",
" \"window_size\": 256\n",
"}\n",
"\n",
"[INFO|configuration_utils.py:545] 2021-07-30 20:47:37,789 >> loading configuration file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/config.json from cache at /home/ubuntu/.cache/huggingface/transformers/42252c2220ae3f9f1ea86a994b63e1dcab20953ba8982117c2384587f7c01c5d.102e6e06599c480a8e55be9ba8dc6226140c958f3cd489f61627520db6817595\n",
"[INFO|configuration_utils.py:581] 2021-07-30 20:47:37,789 >> Model config GPTNeoConfig {\n",
" \"activation_function\": \"gelu_new\",\n",
" \"architectures\": [\n",
" \"GPTNeoForCausalLM\"\n",
" ],\n",
" \"attention_dropout\": 0,\n",
" \"attention_layers\": [\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\"\n",
" ],\n",
" \"attention_types\": [\n",
" [\n",
" [\n",
" \"global\",\n",
" \"local\"\n",
" ],\n",
" 12\n",
" ]\n",
" ],\n",
" \"bos_token_id\": 50256,\n",
" \"embed_dropout\": 0,\n",
" \"eos_token_id\": 50256,\n",
" \"gradient_checkpointing\": false,\n",
" \"hidden_size\": 2048,\n",
" \"initializer_range\": 0.02,\n",
" \"intermediate_size\": null,\n",
" \"layer_norm_epsilon\": 1e-05,\n",
" \"max_position_embeddings\": 2048,\n",
" \"model_type\": \"gpt_neo\",\n",
" \"num_heads\": 16,\n",
" \"num_layers\": 24,\n",
" \"resid_dropout\": 0,\n",
" \"summary_activation\": null,\n",
" \"summary_first_dropout\": 0.1,\n",
" \"summary_proj_to_labels\": true,\n",
" \"summary_type\": \"cls_index\",\n",
" \"summary_use_proj\": true,\n",
" \"task_specific_params\": {\n",
" \"text-generation\": {\n",
" \"do_sample\": true,\n",
" \"max_length\": 50,\n",
" \"temperature\": 0.9\n",
" }\n",
" },\n",
" \"tokenizer_class\": \"GPT2Tokenizer\",\n",
" \"transformers_version\": \"4.9.1\",\n",
" \"use_cache\": true,\n",
" \"vocab_size\": 50257,\n",
" \"window_size\": 256\n",
"}\n",
"\n",
"[INFO|tokenization_utils_base.py:1730] 2021-07-30 20:47:37,923 >> loading file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/vocab.json from cache at /home/ubuntu/.cache/huggingface/transformers/6111bc9bbed617156dc5c0b9fa9d6793147619aad08053f03b3697f1a5027973.a1b97b074a5ac71fad0544c8abc1b3581803d73832476184bde6cff06a67b6bb\n",
"[INFO|tokenization_utils_base.py:1730] 2021-07-30 20:47:37,923 >> loading file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/merges.txt from cache at /home/ubuntu/.cache/huggingface/transformers/ec80888cdc98108f625f7ec7a29ec449eb361ae1325aa1e7e63006ce962c071c.f5b91da9e34259b8f4d88dbc97c740667a0e8430b96314460cdb04e86d4fc435\n",
"[INFO|tokenization_utils_base.py:1730] 2021-07-30 20:47:37,923 >> loading file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/tokenizer.json from cache at None\n",
"[INFO|tokenization_utils_base.py:1730] 2021-07-30 20:47:37,923 >> loading file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/added_tokens.json from cache at None\n",
"[INFO|tokenization_utils_base.py:1730] 2021-07-30 20:47:37,923 >> loading file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/special_tokens_map.json from cache at /home/ubuntu/.cache/huggingface/transformers/1ae5a53fe395100a9213705940d92cc94554a2269777c062d951d1b710c39bb8.3ae9ae72462581d20e36bc528e9c47bb30cd671bb21add40ca0b24a0be9fac22\n",
"[INFO|tokenization_utils_base.py:1730] 2021-07-30 20:47:37,923 >> loading file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/tokenizer_config.json from cache at /home/ubuntu/.cache/huggingface/transformers/5fe35a59019a6fb05bfa29a31b59d407cd81ae59da93e6953772a783b740b4c0.c31b6b7d3225be0c43bc0f8e5d84d03a8b49fdb6b9f6009bbfff1f9cc5ec18bc\n",
"[INFO|configuration_utils.py:545] 2021-07-30 20:47:37,941 >> loading configuration file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/config.json from cache at /home/ubuntu/.cache/huggingface/transformers/42252c2220ae3f9f1ea86a994b63e1dcab20953ba8982117c2384587f7c01c5d.102e6e06599c480a8e55be9ba8dc6226140c958f3cd489f61627520db6817595\n",
"[INFO|configuration_utils.py:581] 2021-07-30 20:47:37,941 >> Model config GPTNeoConfig {\n",
" \"activation_function\": \"gelu_new\",\n",
" \"architectures\": [\n",
" \"GPTNeoForCausalLM\"\n",
" ],\n",
" \"attention_dropout\": 0,\n",
" \"attention_layers\": [\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\"\n",
" ],\n",
" \"attention_types\": [\n",
" [\n",
" [\n",
" \"global\",\n",
" \"local\"\n",
" ],\n",
" 12\n",
" ]\n",
" ],\n",
" \"bos_token_id\": 50256,\n",
" \"embed_dropout\": 0,\n",
" \"eos_token_id\": 50256,\n",
" \"gradient_checkpointing\": false,\n",
" \"hidden_size\": 2048,\n",
" \"initializer_range\": 0.02,\n",
" \"intermediate_size\": null,\n",
" \"layer_norm_epsilon\": 1e-05,\n",
" \"max_position_embeddings\": 2048,\n",
" \"model_type\": \"gpt_neo\",\n",
" \"num_heads\": 16,\n",
" \"num_layers\": 24,\n",
" \"resid_dropout\": 0,\n",
" \"summary_activation\": null,\n",
" \"summary_first_dropout\": 0.1,\n",
" \"summary_proj_to_labels\": true,\n",
" \"summary_type\": \"cls_index\",\n",
" \"summary_use_proj\": true,\n",
" \"task_specific_params\": {\n",
" \"text-generation\": {\n",
" \"do_sample\": true,\n",
" \"max_length\": 50,\n",
" \"temperature\": 0.9\n",
" }\n",
" },\n",
" \"tokenizer_class\": \"GPT2Tokenizer\",\n",
" \"transformers_version\": \"4.9.1\",\n",
" \"use_cache\": true,\n",
" \"vocab_size\": 50257,\n",
" \"window_size\": 256\n",
"}\n",
"\n",
"[INFO|configuration_utils.py:545] 2021-07-30 20:47:38,074 >> loading configuration file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/config.json from cache at /home/ubuntu/.cache/huggingface/transformers/42252c2220ae3f9f1ea86a994b63e1dcab20953ba8982117c2384587f7c01c5d.102e6e06599c480a8e55be9ba8dc6226140c958f3cd489f61627520db6817595\n",
"[INFO|configuration_utils.py:581] 2021-07-30 20:47:38,075 >> Model config GPTNeoConfig {\n",
" \"activation_function\": \"gelu_new\",\n",
" \"architectures\": [\n",
" \"GPTNeoForCausalLM\"\n",
" ],\n",
" \"attention_dropout\": 0,\n",
" \"attention_layers\": [\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\",\n",
" \"global\",\n",
" \"local\"\n",
" ],\n",
" \"attention_types\": [\n",
" [\n",
" [\n",
" \"global\",\n",
" \"local\"\n",
" ],\n",
" 12\n",
" ]\n",
" ],\n",
" \"bos_token_id\": 50256,\n",
" \"embed_dropout\": 0,\n",
" \"eos_token_id\": 50256,\n",
" \"gradient_checkpointing\": false,\n",
" \"hidden_size\": 2048,\n",
" \"initializer_range\": 0.02,\n",
" \"intermediate_size\": null,\n",
" \"layer_norm_epsilon\": 1e-05,\n",
" \"max_position_embeddings\": 2048,\n",
" \"model_type\": \"gpt_neo\",\n",
" \"num_heads\": 16,\n",
" \"num_layers\": 24,\n",
" \"resid_dropout\": 0,\n",
" \"summary_activation\": null,\n",
" \"summary_first_dropout\": 0.1,\n",
" \"summary_proj_to_labels\": true,\n",
" \"summary_type\": \"cls_index\",\n",
" \"summary_use_proj\": true,\n",
" \"task_specific_params\": {\n",
" \"text-generation\": {\n",
" \"do_sample\": true,\n",
" \"max_length\": 50,\n",
" \"temperature\": 0.9\n",
" }\n",
" },\n",
" \"tokenizer_class\": \"GPT2Tokenizer\",\n",
" \"transformers_version\": \"4.9.1\",\n",
" \"use_cache\": true,\n",
" \"vocab_size\": 50257,\n",
" \"window_size\": 256\n",
"}\n",
"\n",
"[INFO|modeling_utils.py:1271] 2021-07-30 20:47:38,143 >> loading weights file https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/pytorch_model.bin from cache at /home/ubuntu/.cache/huggingface/transformers/7c5fac9d60b015cbc7c007ab8fe6d0512787fbaef81968922959898c49468d73.4c6a483fbfb5a25ac384bfcd71a1ff15245f06583a00c4ab4c44ed0f761f0b08\n",
"[INFO|modeling_utils.py:1510] 2021-07-30 20:48:13,532 >> All model checkpoint weights were used when initializing GPTNeoForCausalLM.\n",
"\n",
"[INFO|modeling_utils.py:1519] 2021-07-30 20:48:13,532 >> All the weights of GPTNeoForCausalLM were initialized from the model checkpoint at EleutherAI/gpt-neo-1.3B.\n",
"If your task is similar to the task the model of the checkpoint was trained on, you can already use GPTNeoForCausalLM for predictions without further training.\n",
"Running tokenizer on dataset: 0%| | 0/1 [00:00<?, ?ba/s]07/30/2021 20:48:13 - INFO - datasets.arrow_dataset - Caching processed dataset at /home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff/cache-2a805ec44d0b9072.arrow\n",
"Running tokenizer on dataset: 100%|██████████████| 1/1 [00:00<00:00, 383.43ba/s]\n",
"07/30/2021 20:48:13 - WARNING - __main__ - The tokenizer picked seems to have a very large `model_max_length` (2048). Picking 1024 instead. You can change that default value by passing --block_size xxx.\n",
"Grouping texts in chunks of 1024: 0%| | 0/1 [00:00<?, ?ba/s]07/30/2021 20:48:13 - INFO - datasets.arrow_dataset - Caching processed dataset at /home/ubuntu/.cache/huggingface/datasets/csv/default-822c539f89fcc9d9/0.0.0/9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff/cache-e1c89928ca5bb061.arrow\n",
"Grouping texts in chunks of 1024: 100%|█████████| 1/1 [00:00<00:00, 1101.73ba/s]\n",
"[INFO|trainer.py:1164] 2021-07-30 20:48:13,598 >> ***** Running training *****\n",
"[INFO|trainer.py:1165] 2021-07-30 20:48:13,598 >> Num examples = 1\n",
"[INFO|trainer.py:1166] 2021-07-30 20:48:13,598 >> Num Epochs = 3\n",
"[INFO|trainer.py:1167] 2021-07-30 20:48:13,598 >> Instantaneous batch size per device = 1\n",
"[INFO|trainer.py:1168] 2021-07-30 20:48:13,598 >> Total train batch size (w. parallel, distributed & accumulation) = 1\n",
"[INFO|trainer.py:1169] 2021-07-30 20:48:13,598 >> Gradient Accumulation steps = 1\n",
"[INFO|trainer.py:1170] 2021-07-30 20:48:13,598 >> Total optimization steps = 3\n",
"100%|█████████████████████████████████████████████| 3/3 [00:09<00:00, 3.09s/it][INFO|trainer.py:1360] 2021-07-30 20:48:23,151 >> \n",
"\n",
"Training completed. Do not forget to share your model on huggingface.co/models =)\n",
"\n",
"\n",
"{'train_runtime': 9.5525, 'train_samples_per_second': 0.314, 'train_steps_per_second': 0.314, 'train_loss': 4.490866978963216, 'epoch': 3.0}\n",
"100%|█████████████████████████████████████████████| 3/3 [00:09<00:00, 3.18s/it]\n",
"[INFO|trainer.py:1919] 2021-07-30 20:48:23,151 >> Saving model checkpoint to tmp/test-clm\n",
"[INFO|configuration_utils.py:379] 2021-07-30 20:48:23,152 >> Configuration saved in tmp/test-clm/config.json\n",
"[INFO|modeling_utils.py:997] 2021-07-30 20:48:36,143 >> Model weights saved in tmp/test-clm/pytorch_model.bin\n",
"[INFO|tokenization_utils_base.py:2006] 2021-07-30 20:48:36,143 >> tokenizer config file saved in tmp/test-clm/tokenizer_config.json\n",
"[INFO|tokenization_utils_base.py:2012] 2021-07-30 20:48:36,143 >> Special tokens file saved in tmp/test-clm/special_tokens_map.json\n",
"***** train metrics *****\n",
" epoch = 3.0\n",
" train_loss = 4.4909\n",
" train_runtime = 0:00:09.55\n",
" train_samples = 1\n",
" train_samples_per_second = 0.314\n",
" train_steps_per_second = 0.314\n"
]
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"### Use the trained model for generation"
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 6,
"source": [
"!git clone https://gist.github.com/zilunpeng/63358af14fefd035285ce7d09e6b5638"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into '63358af14fefd035285ce7d09e6b5638'...\n",
"remote: Enumerating objects: 3, done.\u001b[K\n",
"remote: Total 3 (delta 0), reused 0 (delta 0), pack-reused 3\u001b[K\n",
"Unpacking objects: 100% (3/3), done.\n"
]
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 5,
"source": [
"%%writefile testing_prompt.txt\n",
"hi"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Writing testing_prompt.txt\n"
]
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 11,
"source": [
"!python 63358af14fefd035285ce7d09e6b5638/run_generation.py \\\n",
" --model_type gpt-neo \\\n",
" --model_name_or_path tmp/test-clm \\\n",
" --seed 32 --prompt_path testing_prompt.txt \\\n",
" --length 30"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"07/30/2021 21:02:03 - WARNING - __main__ - device: cpu, n_gpu: 0, 16-bits training: False\n",
"07/30/2021 21:02:15 - INFO - __main__ - Namespace(device=device(type='cpu'), fp16=False, k=0, length=30, model_name_or_path='tmp/test-clm', model_type='gpt-neo', n_gpu=0, no_cuda=False, num_return_sequences=1, p=0.9, padding_text='', prefix='', prompt='', prompt_path='testing_prompt.txt', repetition_penalty=1.0, seed=32, stop_token=None, temperature=1.0, xlm_language='')\n",
"Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n",
"=== GENERATED SEQUENCE 1 ===\n",
"hibcol\n",
"This happened at an event when some of you folks were also there. It is a\n",
"great way to learn about it. If\n"
]
}
],
"metadata": {}
}
],
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python 3.6.13 64-bit ('train_gpt_neo_fresh': conda)"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.13"
},
"interpreter": {
"hash": "3941a2565f46efd9744bf9b8a7fccfd29a4b2a0ba5ab610e281a799a536bf67d"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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