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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "BO7MEGbb6mtB"
},
"source": [
"# Finetune \n",
"Finetuning RuGPTs model with huggingface.\n",
"\n",
"## Install env"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true,
"id": "Xyhc5yrzR75j"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Cloning into 'transformers'...\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Defaulting to user installation because normal site-packages is not writeable\n",
"Processing /home/kamil/Documents/SHAD/ML/Part 2/Seminar 7/transformers\n",
" Installing build dependencies: started\n",
" Installing build dependencies: finished with status 'done'\n",
" Getting requirements to build wheel: started\n",
" Getting requirements to build wheel: finished with status 'done'\n",
" Preparing metadata (pyproject.toml): started\n",
" Preparing metadata (pyproject.toml): finished with status 'done'\n",
"Requirement already satisfied: tqdm>=4.27 in /home/kamil/.local/lib/python3.10/site-packages (from transformers==4.29.0.dev0) (4.65.0)\n",
"Requirement already satisfied: regex!=2019.12.17 in /home/kamil/.local/lib/python3.10/site-packages (from transformers==4.29.0.dev0) (2023.3.23)\n",
"Requirement already satisfied: requests in /home/kamil/.local/lib/python3.10/site-packages (from transformers==4.29.0.dev0) (2.28.2)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/lib/python3/dist-packages (from transformers==4.29.0.dev0) (5.4.1)\n",
"Requirement already satisfied: filelock in /home/kamil/.local/lib/python3.10/site-packages (from transformers==4.29.0.dev0) (3.10.6)\n",
"Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /home/kamil/.local/lib/python3.10/site-packages (from transformers==4.29.0.dev0) (0.13.3)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/lib/python3/dist-packages (from transformers==4.29.0.dev0) (21.3)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/lib/python3/dist-packages (from transformers==4.29.0.dev0) (1.21.5)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.11.0 in /home/kamil/.local/lib/python3.10/site-packages (from transformers==4.29.0.dev0) (0.13.4)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /home/kamil/.local/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.11.0->transformers==4.29.0.dev0) (4.5.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests->transformers==4.29.0.dev0) (2020.6.20)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /home/kamil/.local/lib/python3.10/site-packages (from requests->transformers==4.29.0.dev0) (3.0.1)\n",
"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests->transformers==4.29.0.dev0) (1.26.5)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests->transformers==4.29.0.dev0) (3.3)\n",
"Building wheels for collected packages: transformers\n",
" Building wheel for transformers (pyproject.toml): started\n",
" Building wheel for transformers (pyproject.toml): finished with status 'done'\n",
" Created wheel for transformers: filename=transformers-4.29.0.dev0-py3-none-any.whl size=6929166 sha256=280057264eb46bc68355d5c5a1a4d2caff1da9951d55bacbaa62463cbf73296c\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-xt8a8mve/wheels/a5/d3/d1/e281e4412399bfd2f44bb86274ac4204a7d53b596a501f2ad1\n",
"Successfully built transformers\n",
"Installing collected packages: transformers\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.27.4\n",
" Uninstalling transformers-4.27.4:\n",
" Successfully uninstalled transformers-4.27.4\n",
"Successfully installed transformers-4.29.0.dev0\n"
]
}
],
"source": [
"%%bash\n",
"git clone https://github.com/huggingface/transformers\n",
"cd transformers\n",
"pip install ."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true,
"id": "Os4vOL5LTOmk"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Defaulting to user installation because normal site-packages is not writeable\n",
"Collecting datasets\n",
" Downloading datasets-2.11.0-py3-none-any.whl (468 kB)\n",
"\u001b[2K \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m468.7/468.7 kB\u001b[0m \u001b[31m3.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m[36m0:00:01\u001b[0mm eta \u001b[36m0:00:01\u001b[0m\n",
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"\u001b[?25hCollecting yarl<2.0,>=1.0\n",
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"Installing collected packages: xxhash, multidict, fsspec, frozenlist, dill, async-timeout, yarl, responses, multiprocess, aiosignal, aiohttp, datasets\n",
"Successfully installed aiohttp-3.8.4 aiosignal-1.3.1 async-timeout-4.0.2 datasets-2.11.0 dill-0.3.6 frozenlist-1.3.3 fsspec-2023.4.0 multidict-6.0.4 multiprocess-0.70.14 responses-0.18.0 xxhash-3.2.0 yarl-1.8.2\n"
]
}
],
"source": [
"!pip install datasets"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true,
"id": "m1P6WSIeTdV5"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Defaulting to user installation because normal site-packages is not writeable\n",
"Collecting evaluate\n",
" Downloading evaluate-0.4.0-py3-none-any.whl (81 kB)\n",
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"Requirement already satisfied: frozenlist>=1.1.1 in /home/kamil/.local/lib/python3.10/site-packages (from aiohttp->datasets>=2.0.0->evaluate) (1.3.3)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /home/kamil/.local/lib/python3.10/site-packages (from aiohttp->datasets>=2.0.0->evaluate) (6.0.4)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/lib/python3/dist-packages (from aiohttp->datasets>=2.0.0->evaluate) (21.2.0)\n",
"Requirement already satisfied: yarl<2.0,>=1.0 in /home/kamil/.local/lib/python3.10/site-packages (from aiohttp->datasets>=2.0.0->evaluate) (1.8.2)\n",
"Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /home/kamil/.local/lib/python3.10/site-packages (from aiohttp->datasets>=2.0.0->evaluate) (4.0.2)\n",
"Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.8.1->pandas->evaluate) (1.16.0)\n",
"Installing collected packages: evaluate\n",
"Successfully installed evaluate-0.4.0\n"
]
}
],
"source": [
"!pip install evaluate"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "WJZtWu8u6nwL"
},
"outputs": [],
"source": [
"!mkdir models/"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WqwZiumW8WbZ"
},
"source": [
"## Download files"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": true,
"id": "j51bKtQW6nyY"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2023-04-16 19:47:12-- https://www.dropbox.com/s/oa3v9c7g9bp40xw/train.txt?dl=0\n",
"Resolving www.dropbox.com (www.dropbox.com)... 162.125.70.18, 2620:100:6027:18::a27d:4812\n",
"Connecting to www.dropbox.com (www.dropbox.com)|162.125.70.18|:443... connected.\n",
"HTTP request sent, awaiting response... 302 Found\n",
"Location: /s/raw/oa3v9c7g9bp40xw/train.txt [following]\n",
"--2023-04-16 19:47:13-- https://www.dropbox.com/s/raw/oa3v9c7g9bp40xw/train.txt\n",
"Reusing existing connection to www.dropbox.com:443.\n",
"HTTP request sent, awaiting response... 302 Found\n",
"Location: https://uc5788429f15c026c306ed6aa7c0.dl.dropboxusercontent.com/cd/0/inline/B6QRy9JQtzcR-y7uMF3TBS26D_9WsPQhmzXoWmGuHLgFMVq5YeUy4XIvymTf-coW8njd463mquV6DZB7LKdlznygflsCZHNIJ0A8Hf_yyRl2y5rb63wSIyvyBbANSc5DBKvhD4HSmZ-G8GDlRmEf3CXz-PP4jpoQFXwvDZCbIGlStw/file# [following]\n",
"--2023-04-16 19:47:13-- https://uc5788429f15c026c306ed6aa7c0.dl.dropboxusercontent.com/cd/0/inline/B6QRy9JQtzcR-y7uMF3TBS26D_9WsPQhmzXoWmGuHLgFMVq5YeUy4XIvymTf-coW8njd463mquV6DZB7LKdlznygflsCZHNIJ0A8Hf_yyRl2y5rb63wSIyvyBbANSc5DBKvhD4HSmZ-G8GDlRmEf3CXz-PP4jpoQFXwvDZCbIGlStw/file\n",
"Resolving uc5788429f15c026c306ed6aa7c0.dl.dropboxusercontent.com (uc5788429f15c026c306ed6aa7c0.dl.dropboxusercontent.com)... 162.125.70.15, 2620:100:6028:15::a27d:470f\n",
"Connecting to uc5788429f15c026c306ed6aa7c0.dl.dropboxusercontent.com (uc5788429f15c026c306ed6aa7c0.dl.dropboxusercontent.com)|162.125.70.15|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 1654900 (1,6M) [text/plain]\n",
"Saving to: ‘train.txt’\n",
"\n",
"train.txt 100%[===================>] 1,58M 8,43MB/s in 0,2s \n",
"\n",
"2023-04-16 19:47:14 (8,43 MB/s) - ‘train.txt’ saved [1654900/1654900]\n",
"\n",
"--2023-04-16 19:47:14-- https://www.dropbox.com/s/mworl3ld6r3bg62/valid.txt?dl=0\n",
"Resolving www.dropbox.com (www.dropbox.com)... 162.125.70.18, 2620:100:6027:18::a27d:4812\n",
"Connecting to www.dropbox.com (www.dropbox.com)|162.125.70.18|:443... connected.\n",
"HTTP request sent, awaiting response... 302 Found\n",
"Location: /s/raw/mworl3ld6r3bg62/valid.txt [following]\n",
"--2023-04-16 19:47:14-- https://www.dropbox.com/s/raw/mworl3ld6r3bg62/valid.txt\n",
"Reusing existing connection to www.dropbox.com:443.\n",
"HTTP request sent, awaiting response... 302 Found\n",
"Location: https://uc5ee48fa1d36195fd1fe094947e.dl.dropboxusercontent.com/cd/0/inline/B6QZm3htPxEoOiKlbNIGQz27I0gnkhm3CfT9DoU9qR3VUmFjo8_GWcsquYc01t4LT6WYRj4t70Sw9Z9DhdBPq4ZFpgiGfN4TyCf4Hav48iIButfo1Aaa31uqnVavn3dRVXKM2CZ5ewiMDDEGDexFnB-ZPHZyomgPCjDRtkdkMvfP7g/file# [following]\n",
"--2023-04-16 19:47:15-- https://uc5ee48fa1d36195fd1fe094947e.dl.dropboxusercontent.com/cd/0/inline/B6QZm3htPxEoOiKlbNIGQz27I0gnkhm3CfT9DoU9qR3VUmFjo8_GWcsquYc01t4LT6WYRj4t70Sw9Z9DhdBPq4ZFpgiGfN4TyCf4Hav48iIButfo1Aaa31uqnVavn3dRVXKM2CZ5ewiMDDEGDexFnB-ZPHZyomgPCjDRtkdkMvfP7g/file\n",
"Resolving uc5ee48fa1d36195fd1fe094947e.dl.dropboxusercontent.com (uc5ee48fa1d36195fd1fe094947e.dl.dropboxusercontent.com)... 162.125.70.15, 2620:100:6026:15::a27d:460f\n",
"Connecting to uc5ee48fa1d36195fd1fe094947e.dl.dropboxusercontent.com (uc5ee48fa1d36195fd1fe094947e.dl.dropboxusercontent.com)|162.125.70.15|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 167021 (163K) [text/plain]\n",
"Saving to: ‘valid.txt’\n",
"\n",
"valid.txt 100%[===================>] 163,11K --.-KB/s in 0,08s \n",
"\n",
"2023-04-16 19:47:15 (2,02 MB/s) - ‘valid.txt’ saved [167021/167021]\n",
"\n"
]
}
],
"source": [
"!wget -O train.txt https://www.dropbox.com/s/oa3v9c7g9bp40xw/train.txt?dl=0\n",
"!wget -O valid.txt https://www.dropbox.com/s/mworl3ld6r3bg62/valid.txt?dl=0"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "zoyX62qN_38l"
},
"source": [
"## Train \n",
"The following code download model and tokenizer from huggingface and finetune model for generating essays."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": true,
"id": "OCIERP8AS1Dl"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"04/16/2023 19:47:40 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: False\n",
"04/16/2023 19:47:40 - INFO - __main__ - Training/evaluation parameters TrainingArguments(\n",
"_n_gpu=1,\n",
"adafactor=False,\n",
"adam_beta1=0.9,\n",
"adam_beta2=0.999,\n",
"adam_epsilon=1e-08,\n",
"auto_find_batch_size=False,\n",
"bf16=False,\n",
"bf16_full_eval=False,\n",
"data_seed=None,\n",
"dataloader_drop_last=False,\n",
"dataloader_num_workers=0,\n",
"dataloader_pin_memory=True,\n",
"ddp_bucket_cap_mb=None,\n",
"ddp_find_unused_parameters=None,\n",
"ddp_timeout=1800,\n",
"debug=[],\n",
"deepspeed=None,\n",
"disable_tqdm=False,\n",
"do_eval=True,\n",
"do_predict=False,\n",
"do_train=True,\n",
"eval_accumulation_steps=None,\n",
"eval_delay=0,\n",
"eval_steps=None,\n",
"evaluation_strategy=no,\n",
"fp16=False,\n",
"fp16_backend=auto,\n",
"fp16_full_eval=False,\n",
"fp16_opt_level=O1,\n",
"fsdp=[],\n",
"fsdp_config={'fsdp_min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False},\n",
"fsdp_min_num_params=0,\n",
"fsdp_transformer_layer_cls_to_wrap=None,\n",
"full_determinism=False,\n",
"gradient_accumulation_steps=1,\n",
"gradient_checkpointing=False,\n",
"greater_is_better=None,\n",
"group_by_length=False,\n",
"half_precision_backend=auto,\n",
"hub_model_id=None,\n",
"hub_private_repo=False,\n",
"hub_strategy=every_save,\n",
"hub_token=<HUB_TOKEN>,\n",
"ignore_data_skip=False,\n",
"include_inputs_for_metrics=False,\n",
"jit_mode_eval=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=passive,\n",
"log_level_replica=warning,\n",
"log_on_each_node=True,\n",
"logging_dir=models/essays2/runs/Apr16_19-47-40_kamil-desktop,\n",
"logging_first_step=False,\n",
"logging_nan_inf_filter=True,\n",
"logging_steps=500,\n",
"logging_strategy=steps,\n",
"lr_scheduler_type=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",
"optim=adamw_hf,\n",
"optim_args=None,\n",
"output_dir=models/essays2,\n",
"overwrite_output_dir=False,\n",
"past_index=-1,\n",
"per_device_eval_batch_size=1,\n",
"per_device_train_batch_size=1,\n",
"prediction_loss_only=False,\n",
"push_to_hub=False,\n",
"push_to_hub_model_id=None,\n",
"push_to_hub_organization=None,\n",
"push_to_hub_token=<PUSH_TO_HUB_TOKEN>,\n",
"ray_scope=last,\n",
"remove_unused_columns=True,\n",
"report_to=[],\n",
"resume_from_checkpoint=None,\n",
"run_name=models/essays2,\n",
"save_on_each_node=False,\n",
"save_safetensors=False,\n",
"save_steps=500,\n",
"save_strategy=steps,\n",
"save_total_limit=None,\n",
"seed=42,\n",
"sharded_ddp=[],\n",
"skip_memory_metrics=True,\n",
"tf32=None,\n",
"torch_compile=False,\n",
"torch_compile_backend=None,\n",
"torch_compile_mode=None,\n",
"torchdynamo=None,\n",
"tpu_metrics_debug=False,\n",
"tpu_num_cores=None,\n",
"use_ipex=False,\n",
"use_legacy_prediction_loop=False,\n",
"use_mps_device=False,\n",
"warmup_ratio=0.0,\n",
"warmup_steps=0,\n",
"weight_decay=0.0,\n",
"xpu_backend=None,\n",
")\n",
"04/16/2023 19:47:40 - INFO - datasets.builder - Using custom data configuration default-94a5e2bc6bcfdc2e\n",
"04/16/2023 19:47:40 - INFO - datasets.info - Loading Dataset Infos from /home/kamil/.local/lib/python3.10/site-packages/datasets/packaged_modules/text\n",
"04/16/2023 19:47:40 - INFO - datasets.builder - Generating dataset text (/home/kamil/.cache/huggingface/datasets/text/default-94a5e2bc6bcfdc2e/0.0.0/cb1e9bd71a82ad27976be3b12b407850fe2837d80c22c5e03a28949843a8ace2)\n",
"Downloading and preparing dataset text/default to /home/kamil/.cache/huggingface/datasets/text/default-94a5e2bc6bcfdc2e/0.0.0/cb1e9bd71a82ad27976be3b12b407850fe2837d80c22c5e03a28949843a8ace2...\n",
"Downloading data files: 100%|██████████████████| 2/2 [00:00<00:00, 18517.90it/s]\n",
"04/16/2023 19:47:40 - INFO - datasets.download.download_manager - Downloading took 0.0 min\n",
"04/16/2023 19:47:40 - INFO - datasets.download.download_manager - Checksum Computation took 0.0 min\n",
"Extracting data files: 100%|█████████████████████| 2/2 [00:00<00:00, 228.71it/s]\n",
"04/16/2023 19:47:40 - INFO - datasets.builder - Generating train split\n",
"04/16/2023 19:47:40 - INFO - datasets.builder - Generating validation split\n",
"04/16/2023 19:47:40 - INFO - datasets.utils.info_utils - Unable to verify splits sizes.\n",
"Dataset text downloaded and prepared to /home/kamil/.cache/huggingface/datasets/text/default-94a5e2bc6bcfdc2e/0.0.0/cb1e9bd71a82ad27976be3b12b407850fe2837d80c22c5e03a28949843a8ace2. Subsequent calls will reuse this data.\n",
"100%|███████████████████████████████████████████| 2/2 [00:00<00:00, 1228.20it/s]\n",
"Downloading (…)lve/main/config.json: 100%|██████| 608/608 [00:00<00:00, 832kB/s]\n",
"[INFO|configuration_utils.py:668] 2023-04-16 19:47:41,750 >> loading configuration file config.json from cache at /home/kamil/.cache/huggingface/hub/models--sberbank-ai--rugpt3small_based_on_gpt2/snapshots/d64244b316057f71e745cc92be1dcfe7853d9d18/config.json\n",
"[INFO|configuration_utils.py:720] 2023-04-16 19:47:41,751 >> Model config GPT2Config {\n",
" \"_name_or_path\": \"sberbank-ai/rugpt3small_based_on_gpt2\",\n",
" \"activation_function\": \"gelu_new\",\n",
" \"architectures\": [\n",
" \"GPT2LMHeadModel\"\n",
" ],\n",
" \"attn_pdrop\": 0.1,\n",
" \"bos_token_id\": 50256,\n",
" \"embd_pdrop\": 0.1,\n",
" \"eos_token_id\": 50256,\n",
" \"gradient_checkpointing\": false,\n",
" \"initializer_range\": 0.02,\n",
" \"layer_norm_epsilon\": 1e-05,\n",
" \"model_type\": \"gpt2\",\n",
" \"n_ctx\": 2048,\n",
" \"n_embd\": 768,\n",
" \"n_head\": 12,\n",
" \"n_inner\": null,\n",
" \"n_layer\": 12,\n",
" \"n_positions\": 2048,\n",
" \"reorder_and_upcast_attn\": false,\n",
" \"resid_pdrop\": 0.1,\n",
" \"scale_attn_by_inverse_layer_idx\": false,\n",
" \"scale_attn_weights\": true,\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",
" \"transformers_version\": \"4.29.0.dev0\",\n",
" \"use_cache\": true,\n",
" \"vocab_size\": 50264\n",
"}\n",
"\n",
"[INFO|tokenization_auto.py:502] 2023-04-16 19:47:42,302 >> Could not locate the tokenizer configuration file, will try to use the model config instead.\n",
"[INFO|configuration_utils.py:668] 2023-04-16 19:47:42,851 >> loading configuration file config.json from cache at /home/kamil/.cache/huggingface/hub/models--sberbank-ai--rugpt3small_based_on_gpt2/snapshots/d64244b316057f71e745cc92be1dcfe7853d9d18/config.json\n",
"[INFO|configuration_utils.py:720] 2023-04-16 19:47:42,852 >> Model config GPT2Config {\n",
" \"_name_or_path\": \"sberbank-ai/rugpt3small_based_on_gpt2\",\n",
" \"activation_function\": \"gelu_new\",\n",
" \"architectures\": [\n",
" \"GPT2LMHeadModel\"\n",
" ],\n",
" \"attn_pdrop\": 0.1,\n",
" \"bos_token_id\": 50256,\n",
" \"embd_pdrop\": 0.1,\n",
" \"eos_token_id\": 50256,\n",
" \"gradient_checkpointing\": false,\n",
" \"initializer_range\": 0.02,\n",
" \"layer_norm_epsilon\": 1e-05,\n",
" \"model_type\": \"gpt2\",\n",
" \"n_ctx\": 2048,\n",
" \"n_embd\": 768,\n",
" \"n_head\": 12,\n",
" \"n_inner\": null,\n",
" \"n_layer\": 12,\n",
" \"n_positions\": 2048,\n",
" \"reorder_and_upcast_attn\": false,\n",
" \"resid_pdrop\": 0.1,\n",
" \"scale_attn_by_inverse_layer_idx\": false,\n",
" \"scale_attn_weights\": true,\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",
" \"transformers_version\": \"4.29.0.dev0\",\n",
" \"use_cache\": true,\n",
" \"vocab_size\": 50264\n",
"}\n",
"\n",
"Downloading (…)olve/main/vocab.json: 100%|█| 1.71M/1.71M [00:00<00:00, 3.73MB/s]\n",
"Downloading (…)olve/main/merges.txt: 100%|█| 1.27M/1.27M [00:00<00:00, 5.74MB/s]\n",
"[INFO|tokenization_utils_base.py:1809] 2023-04-16 19:47:47,652 >> loading file vocab.json from cache at /home/kamil/.cache/huggingface/hub/models--sberbank-ai--rugpt3small_based_on_gpt2/snapshots/d64244b316057f71e745cc92be1dcfe7853d9d18/vocab.json\n",
"[INFO|tokenization_utils_base.py:1809] 2023-04-16 19:47:47,652 >> loading file merges.txt from cache at /home/kamil/.cache/huggingface/hub/models--sberbank-ai--rugpt3small_based_on_gpt2/snapshots/d64244b316057f71e745cc92be1dcfe7853d9d18/merges.txt\n",
"[INFO|tokenization_utils_base.py:1809] 2023-04-16 19:47:47,652 >> loading file tokenizer.json from cache at None\n",
"[INFO|tokenization_utils_base.py:1809] 2023-04-16 19:47:47,652 >> loading file added_tokens.json from cache at None\n",
"[INFO|tokenization_utils_base.py:1809] 2023-04-16 19:47:47,652 >> loading file special_tokens_map.json from cache at None\n",
"[INFO|tokenization_utils_base.py:1809] 2023-04-16 19:47:47,652 >> loading file tokenizer_config.json from cache at None\n",
"[INFO|configuration_utils.py:668] 2023-04-16 19:47:47,652 >> loading configuration file config.json from cache at /home/kamil/.cache/huggingface/hub/models--sberbank-ai--rugpt3small_based_on_gpt2/snapshots/d64244b316057f71e745cc92be1dcfe7853d9d18/config.json\n",
"[INFO|configuration_utils.py:720] 2023-04-16 19:47:47,653 >> Model config GPT2Config {\n",
" \"_name_or_path\": \"sberbank-ai/rugpt3small_based_on_gpt2\",\n",
" \"activation_function\": \"gelu_new\",\n",
" \"architectures\": [\n",
" \"GPT2LMHeadModel\"\n",
" ],\n",
" \"attn_pdrop\": 0.1,\n",
" \"bos_token_id\": 50256,\n",
" \"embd_pdrop\": 0.1,\n",
" \"eos_token_id\": 50256,\n",
" \"gradient_checkpointing\": false,\n",
" \"initializer_range\": 0.02,\n",
" \"layer_norm_epsilon\": 1e-05,\n",
" \"model_type\": \"gpt2\",\n",
" \"n_ctx\": 2048,\n",
" \"n_embd\": 768,\n",
" \"n_head\": 12,\n",
" \"n_inner\": null,\n",
" \"n_layer\": 12,\n",
" \"n_positions\": 2048,\n",
" \"reorder_and_upcast_attn\": false,\n",
" \"resid_pdrop\": 0.1,\n",
" \"scale_attn_by_inverse_layer_idx\": false,\n",
" \"scale_attn_weights\": true,\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",
" \"transformers_version\": \"4.29.0.dev0\",\n",
" \"use_cache\": true,\n",
" \"vocab_size\": 50264\n",
"}\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[INFO|configuration_utils.py:668] 2023-04-16 19:47:47,725 >> loading configuration file config.json from cache at /home/kamil/.cache/huggingface/hub/models--sberbank-ai--rugpt3small_based_on_gpt2/snapshots/d64244b316057f71e745cc92be1dcfe7853d9d18/config.json\n",
"[INFO|configuration_utils.py:720] 2023-04-16 19:47:47,725 >> Model config GPT2Config {\n",
" \"_name_or_path\": \"sberbank-ai/rugpt3small_based_on_gpt2\",\n",
" \"activation_function\": \"gelu_new\",\n",
" \"architectures\": [\n",
" \"GPT2LMHeadModel\"\n",
" ],\n",
" \"attn_pdrop\": 0.1,\n",
" \"bos_token_id\": 50256,\n",
" \"embd_pdrop\": 0.1,\n",
" \"eos_token_id\": 50256,\n",
" \"gradient_checkpointing\": false,\n",
" \"initializer_range\": 0.02,\n",
" \"layer_norm_epsilon\": 1e-05,\n",
" \"model_type\": \"gpt2\",\n",
" \"n_ctx\": 2048,\n",
" \"n_embd\": 768,\n",
" \"n_head\": 12,\n",
" \"n_inner\": null,\n",
" \"n_layer\": 12,\n",
" \"n_positions\": 2048,\n",
" \"reorder_and_upcast_attn\": false,\n",
" \"resid_pdrop\": 0.1,\n",
" \"scale_attn_by_inverse_layer_idx\": false,\n",
" \"scale_attn_weights\": true,\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",
" \"transformers_version\": \"4.29.0.dev0\",\n",
" \"use_cache\": true,\n",
" \"vocab_size\": 50264\n",
"}\n",
"\n",
"[WARNING|logging.py:280] 2023-04-16 19:47:47,765 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
"Downloading pytorch_model.bin: 100%|█████████| 551M/551M [00:36<00:00, 15.2MB/s]\n",
"[INFO|modeling_utils.py:2534] 2023-04-16 19:48:24,907 >> loading weights file pytorch_model.bin from cache at /home/kamil/.cache/huggingface/hub/models--sberbank-ai--rugpt3small_based_on_gpt2/snapshots/d64244b316057f71e745cc92be1dcfe7853d9d18/pytorch_model.bin\n",
"[INFO|configuration_utils.py:575] 2023-04-16 19:48:25,102 >> Generate config GenerationConfig {\n",
" \"_from_model_config\": true,\n",
" \"bos_token_id\": 50256,\n",
" \"eos_token_id\": 50256,\n",
" \"transformers_version\": \"4.29.0.dev0\"\n",
"}\n",
"\n",
"[INFO|modeling_utils.py:3190] 2023-04-16 19:48:26,046 >> All model checkpoint weights were used when initializing GPT2LMHeadModel.\n",
"\n",
"[INFO|modeling_utils.py:3198] 2023-04-16 19:48:26,046 >> All the weights of GPT2LMHeadModel were initialized from the model checkpoint at sberbank-ai/rugpt3small_based_on_gpt2.\n",
"If your task is similar to the task the model of the checkpoint was trained on, you can already use GPT2LMHeadModel for predictions without further training.\n",
"[INFO|modeling_utils.py:2839] 2023-04-16 19:48:26,570 >> Generation config file not found, using a generation config created from the model config.\n",
"Running tokenizer on dataset: 0%| | 0/720 [00:00<?, ? examples/s]04/16/2023 19:48:26 - INFO - datasets.arrow_dataset - Caching processed dataset at /home/kamil/.cache/huggingface/datasets/text/default-94a5e2bc6bcfdc2e/0.0.0/cb1e9bd71a82ad27976be3b12b407850fe2837d80c22c5e03a28949843a8ace2/cache-02f845f719a14b5e.arrow\n",
"Running tokenizer on dataset: 0%| | 0/80 [00:00<?, ? examples/s]04/16/2023 19:48:26 - INFO - datasets.arrow_dataset - Caching processed dataset at /home/kamil/.cache/huggingface/datasets/text/default-94a5e2bc6bcfdc2e/0.0.0/cb1e9bd71a82ad27976be3b12b407850fe2837d80c22c5e03a28949843a8ace2/cache-b826039bbf723e44.arrow\n",
"Grouping texts in chunks of 2048: 0%| | 0/720 [00:00<?, ? examples/s]04/16/2023 19:48:26 - INFO - datasets.arrow_dataset - Caching processed dataset at /home/kamil/.cache/huggingface/datasets/text/default-94a5e2bc6bcfdc2e/0.0.0/cb1e9bd71a82ad27976be3b12b407850fe2837d80c22c5e03a28949843a8ace2/cache-218f03f685e5499a.arrow\n",
"Grouping texts in chunks of 2048: 0%| | 0/80 [00:00<?, ? examples/s]04/16/2023 19:48:27 - INFO - datasets.arrow_dataset - Caching processed dataset at /home/kamil/.cache/huggingface/datasets/text/default-94a5e2bc6bcfdc2e/0.0.0/cb1e9bd71a82ad27976be3b12b407850fe2837d80c22c5e03a28949843a8ace2/cache-ad1660cb69988af0.arrow\n",
"Downloading builder script: 100%|██████████| 4.20k/4.20k [00:00<00:00, 4.48MB/s]\n",
"/home/kamil/.local/lib/python3.10/site-packages/transformers/optimization.py:391: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
" warnings.warn(\n",
"[INFO|trainer.py:1769] 2023-04-16 19:48:28,570 >> ***** Running training *****\n",
"[INFO|trainer.py:1770] 2023-04-16 19:48:28,570 >> Num examples = 92\n",
"[INFO|trainer.py:1771] 2023-04-16 19:48:28,570 >> Num Epochs = 3\n",
"[INFO|trainer.py:1772] 2023-04-16 19:48:28,570 >> Instantaneous batch size per device = 1\n",
"[INFO|trainer.py:1773] 2023-04-16 19:48:28,570 >> Total train batch size (w. parallel, distributed & accumulation) = 1\n",
"[INFO|trainer.py:1774] 2023-04-16 19:48:28,570 >> Gradient Accumulation steps = 1\n",
"[INFO|trainer.py:1775] 2023-04-16 19:48:28,570 >> Total optimization steps = 276\n",
"[INFO|trainer.py:1776] 2023-04-16 19:48:28,570 >> Number of trainable parameters = 125,231,616\n",
" 0%| | 0/276 [00:00<?, ?it/s]Traceback (most recent call last):\n",
" File \"/home/kamil/Documents/SHAD/ML/Part 2/Seminar 7/run_clm.py\", line 635, in <module>\n",
" main()\n",
" File \"/home/kamil/Documents/SHAD/ML/Part 2/Seminar 7/run_clm.py\", line 583, in main\n",
" train_result = trainer.train(resume_from_checkpoint=checkpoint)\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/transformers/trainer.py\", line 1662, in train\n",
" return inner_training_loop(\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/transformers/trainer.py\", line 1929, in _inner_training_loop\n",
" tr_loss_step = self.training_step(model, inputs)\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/transformers/trainer.py\", line 2699, in training_step\n",
" loss = self.compute_loss(model, inputs)\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/transformers/trainer.py\", line 2731, in compute_loss\n",
" outputs = model(**inputs)\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1501, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py\", line 1075, in forward\n",
" transformer_outputs = self.transformer(\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1501, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py\", line 899, in forward\n",
" outputs = block(\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1501, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py\", line 389, in forward\n",
" attn_outputs = self.attn(\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1501, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py\", line 330, in forward\n",
" attn_output, attn_weights = self._attn(query, key, value, attention_mask, head_mask)\n",
" File \"/home/kamil/.local/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py\", line 185, in _attn\n",
" attn_weights = attn_weights / torch.full(\n",
"torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 192.00 MiB (GPU 0; 7.79 GiB total capacity; 6.07 GiB already allocated; 171.81 MiB free; 6.09 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF\n",
" 0%| | 0/276 [00:01<?, ?it/s]\n"
]
}
],
"source": [
"!python3 run_clm.py \\\n",
" --model_name_or_path sberbank-ai/rugpt3small_based_on_gpt2 \\\n",
" --train_file train.txt \\\n",
" --validation_file valid.txt \\\n",
" --per_device_train_batch_size 1 \\\n",
" --per_device_eval_batch_size 1 \\\n",
" --block_size 2048 \\\n",
" --dataset_config_name plain_text \\\n",
" --do_train \\\n",
" --do_eval \\\n",
" --output_dir models/essays2"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "QvgntLymArg3"
},
"source": [
"## Evaluate model"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"id": "csHcDJXFDdaW"
},
"outputs": [],
"source": [
"import numpy as np\n",
"import torch"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"id": "TJxPg-cJDhAB"
},
"outputs": [
{
"data": {
"text/plain": [
"<torch._C.Generator at 0x7fe5314a4c50>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.random.seed(42)\n",
"torch.manual_seed(42)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"id": "AkUrzKsy_16F"
},
"outputs": [],
"source": [
"from transformers import GPT2LMHeadModel, GPT2Tokenizer"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"id": "x_EMbgO0BTvb"
},
"outputs": [],
"source": [
"tok = GPT2Tokenizer.from_pretrained(\"models/essays\")"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"id": "Fjy0GAuQBYpA"
},
"outputs": [],
"source": [
"model = GPT2LMHeadModel.from_pretrained(\"models/essays\")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": true,
"id": "irh4H-HDBb6V"
},
"outputs": [
{
"data": {
"text/plain": [
"GPT2LMHeadModel(\n",
" (transformer): GPT2Model(\n",
" (wte): Embedding(50264, 768)\n",
" (wpe): Embedding(2048, 768)\n",
" (drop): Dropout(p=0.1, inplace=False)\n",
" (h): ModuleList(\n",
" (0-11): 12 x GPT2Block(\n",
" (ln_1): LayerNorm((768,), eps=1e-05, elementwise_affine=True)\n",
" (attn): GPT2Attention(\n",
" (c_attn): Conv1D()\n",
" (c_proj): Conv1D()\n",
" (attn_dropout): Dropout(p=0.1, inplace=False)\n",
" (resid_dropout): Dropout(p=0.1, inplace=False)\n",
" )\n",
" (ln_2): LayerNorm((768,), eps=1e-05, elementwise_affine=True)\n",
" (mlp): GPT2MLP(\n",
" (c_fc): Conv1D()\n",
" (c_proj): Conv1D()\n",
" (act): NewGELUActivation()\n",
" (dropout): Dropout(p=0.1, inplace=False)\n",
" )\n",
" )\n",
" )\n",
" (ln_f): LayerNorm((768,), eps=1e-05, elementwise_affine=True)\n",
" )\n",
" (lm_head): Linear(in_features=768, out_features=50264, bias=False)\n",
")"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model.cuda()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"id": "hQY6A5q7Bd4O"
},
"outputs": [],
"source": [
"text = \"<s>Тема: «В чем смысл жизни?»\\nСочинение: \"\n",
"inpt = tok.encode(text, return_tensors=\"pt\")"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"id": "1gfJFmeOBj_t"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n",
"Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
]
}
],
"source": [
"out = model.generate(inpt.cuda(), max_length=200, repetition_penalty=5.0, do_sample=True, top_k=5, top_p=0.95, temperature=1)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 123
},
"id": "gWZ9SUCxB2Ki",
"outputId": "31d8e1a3-376f-4f27-bd11-ba59a44983eb"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<s>Тема: «В чем смысл жизни?»\n",
"Сочинение: 📹Как часто в наше время мы слышим фразу \"жить надо так, чтобы было хорошо всем\". Однако не все могут себе позволить жить по-другому. В современном мире многие люди хотят изменить свою жизнь к лучшему и сделать ее комфортной для всех без исключения граждан нашей страны.</span] (по пьесе Мольера) \n",
" Существование системы образования является одним из важнейших условий становления цивилизованного общества на земле – формирования личности гражданина как носителя социально значимых ценностей.Начнем с определения понятия образование - наука о человеке или его способности организовывать свои действия во внешней среде посредством усвоения знаний об окружающем нас обществе; рассмотрим основные функции обучения, которые выполняет школьное учреждение : формирование у детей культуры общения со взрослыми людьми через обучение умению общаться при помощи словаря иностранных слов — это важнейший фактор социализации человека от рождения до смерти || • воспитание нравственности между детьми дошкольного возраста /под ред Н\n"
]
}
],
"source": [
"print(tok.decode(out[0]))"
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"name": "RuGPT3FinetuneHF.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
|