{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [], "gpuType": "T4" }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" }, "accelerator": "GPU" }, "cells": [ { "cell_type": "markdown", "source": [ "# osiria/bert-italian-cased-question-answering\n", "## test set metrics" ], "metadata": { "id": "oub2ir8ZDkrH" } }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "02K9xO6Gvto1", "outputId": "d913515b-49cc-437e-a9d9-a4ccc4fed2d4" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", "Collecting git+https://github.com/huggingface/transformers\n", " Cloning https://github.com/huggingface/transformers to /tmp/pip-req-build-0dr9nm3r\n", " Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-0dr9nm3r\n", " Resolved https://github.com/huggingface/transformers to commit 8f093fb799246f7dd9104ff44728da0c53a9f67a\n", " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (3.12.0)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.14.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (0.15.1)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (1.22.4)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (23.1)\n", "Requirement already satisfied: pyyaml>=5.1 in 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in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers==4.31.0.dev0) (4.5.0)\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.31.0.dev0) (1.26.15)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.31.0.dev0) (2022.12.7)\n", "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.31.0.dev0) (2.0.12)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.31.0.dev0) (3.4)\n" ] } ], "source": [ "!pip install git+https://github.com/huggingface/transformers" ] }, { "cell_type": "code", "source": [ "!pip install datasets" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "VKgybrUswa1q", "outputId": "eaf295cd-277a-4112-e4d2-2083661fbeff" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", "Requirement already satisfied: datasets in /usr/local/lib/python3.10/dist-packages (2.12.0)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) (1.22.4)\n", "Requirement already satisfied: pyarrow>=8.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (9.0.0)\n", "Requirement already satisfied: dill<0.3.7,>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (0.3.6)\n", "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets) (1.5.3)\n", "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (2.27.1)\n", "Requirement already satisfied: tqdm>=4.62.1 in 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"name": "stdout", "text": [ "eval_results run_qa.py.1 trainer_qa.py utils_qa.py\n", "__pycache__ run_qa.py.2 trainer_qa.py.1 utils_qa.py.1\n", "run_qa.py sample_data trainer_qa.py.2 utils_qa.py.2\n" ] } ] }, { "cell_type": "code", "source": [ "!mkdir eval_results" ], "metadata": { "id": "QDNxV31P0reW", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "f2054dd3-7097-46c9-f192-ea87d32285f7" }, "execution_count": 7, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "mkdir: cannot create directory ‘eval_results’: File exists\n" ] } ] }, { "cell_type": "code", "source": [ "!python -m run_qa --model_name_or_path osiria/bert-italian-cased-question-answering --dataset_name squad_it --do_predict --per_device_eval_batch_size=5 --output_dir eval_results" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "B5O5Lom8x_c4", "outputId": "e565d920-7313-43dd-f5bb-3d3d454fb377" }, "execution_count": 8, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "2023-06-11 20:53:25.728657: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", "06/11/2023 20:53:27 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: False\n", "06/11/2023 20:53:27 - 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_backend=None,\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=False,\n", "do_predict=True,\n", "do_train=False,\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=,\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=0,\n", "log_level=passive,\n", "log_level_replica=warning,\n", "log_on_each_node=True,\n", "logging_dir=eval_results/runs/Jun11_20-53-27_6b4f0ceaae37,\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=eval_results,\n", "overwrite_output_dir=False,\n", "past_index=-1,\n", "per_device_eval_batch_size=5,\n", "per_device_train_batch_size=8,\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=,\n", "ray_scope=last,\n", "remove_unused_columns=True,\n", "report_to=['tensorboard'],\n", "resume_from_checkpoint=None,\n", "run_name=eval_results,\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", "06/11/2023 20:53:28 - INFO - datasets.info - Loading Dataset Infos from /root/.cache/huggingface/modules/datasets_modules/datasets/squad_it/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71\n", "06/11/2023 20:53:28 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.\n", "06/11/2023 20:53:28 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71\n", "06/11/2023 20:53:28 - WARNING - datasets.builder - Found cached dataset squad_it (/root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71)\n", "06/11/2023 20:53:28 - INFO - datasets.info - Loading Dataset info from /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71\n", "100% 2/2 [00:00<00:00, 540.12it/s]\n", "[INFO|configuration_utils.py:669] 2023-06-11 20:53:28,527 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--osiria--bert-italian-cased-question-answering/snapshots/d289e6216d2c615b2e1eb5dd25cb7239c51b5088/config.json\n", "[INFO|configuration_utils.py:725] 2023-06-11 20:53:28,530 >> Model config BertConfig {\n", " \"_name_or_path\": \"osiria/bert-italian-cased-question-answering\",\n", " \"architectures\": [\n", " \"BertForQuestionAnswering\"\n", " ],\n", " \"attention_probs_dropout_prob\": 0.1,\n", " \"classifier_dropout\": null,\n", " \"directionality\": \"bidi\",\n", " \"hidden_act\": \"gelu\",\n", " \"hidden_dropout_prob\": 0.1,\n", " \"hidden_size\": 768,\n", " \"initializer_range\": 0.02,\n", " \"intermediate_size\": 3072,\n", " \"layer_norm_eps\": 1e-12,\n", " \"max_position_embeddings\": 512,\n", " \"model_type\": \"bert\",\n", " \"num_attention_heads\": 12,\n", " \"num_hidden_layers\": 12,\n", " \"pad_token_id\": 0,\n", " \"pooler_fc_size\": 768,\n", " \"pooler_num_attention_heads\": 12,\n", " \"pooler_num_fc_layers\": 3,\n", " \"pooler_size_per_head\": 128,\n", " \"pooler_type\": \"first_token_transform\",\n", " \"position_embedding_type\": \"absolute\",\n", " \"torch_dtype\": \"float32\",\n", " \"transformers_version\": \"4.31.0.dev0\",\n", " \"type_vocab_size\": 2,\n", " \"use_cache\": true,\n", " \"vocab_size\": 30785\n", "}\n", "\n", "[INFO|tokenization_utils_base.py:1823] 2023-06-11 20:53:29,081 >> loading file vocab.txt from cache at /root/.cache/huggingface/hub/models--osiria--bert-italian-cased-question-answering/snapshots/d289e6216d2c615b2e1eb5dd25cb7239c51b5088/vocab.txt\n", "[INFO|tokenization_utils_base.py:1823] 2023-06-11 20:53:29,082 >> loading file tokenizer.json from cache at None\n", "[INFO|tokenization_utils_base.py:1823] 2023-06-11 20:53:29,082 >> loading file added_tokens.json from cache at None\n", "[INFO|tokenization_utils_base.py:1823] 2023-06-11 20:53:29,082 >> loading file special_tokens_map.json from cache at /root/.cache/huggingface/hub/models--osiria--bert-italian-cased-question-answering/snapshots/d289e6216d2c615b2e1eb5dd25cb7239c51b5088/special_tokens_map.json\n", "[INFO|tokenization_utils_base.py:1823] 2023-06-11 20:53:29,082 >> loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--osiria--bert-italian-cased-question-answering/snapshots/d289e6216d2c615b2e1eb5dd25cb7239c51b5088/tokenizer_config.json\n", "[INFO|modeling_utils.py:2578] 2023-06-11 20:53:29,866 >> loading weights file pytorch_model.bin from cache at /root/.cache/huggingface/hub/models--osiria--bert-italian-cased-question-answering/snapshots/d289e6216d2c615b2e1eb5dd25cb7239c51b5088/pytorch_model.bin\n", "[INFO|modeling_utils.py:3295] 2023-06-11 20:53:31,723 >> All model checkpoint weights were used when initializing BertForQuestionAnswering.\n", "\n", "[INFO|modeling_utils.py:3303] 2023-06-11 20:53:31,723 >> All the weights of BertForQuestionAnswering were initialized from the model checkpoint at osiria/bert-italian-cased-question-answering.\n", "If your task is similar to the task the model of the checkpoint was trained on, you can already use BertForQuestionAnswering for predictions without further training.\n", "Running tokenizer on prediction dataset: 0% 0/7609 [00:00> The following columns in the test set don't have a corresponding argument in `BertForQuestionAnswering.forward` and have been ignored: offset_mapping, example_id. If offset_mapping, example_id are not expected by `BertForQuestionAnswering.forward`, you can safely ignore this message.\n", "[INFO|trainer.py:3200] 2023-06-11 20:53:41,526 >> ***** Running Prediction *****\n", "[INFO|trainer.py:3202] 2023-06-11 20:53:41,526 >> Num examples = 7992\n", "[INFO|trainer.py:3205] 2023-06-11 20:53:41,526 >> Batch size = 5\n", "100% 1598/1599 [03:13<00:00, 7.89it/s]06/11/2023 20:57:07 - INFO - utils_qa - Post-processing 7609 example predictions split into 7992 features.\n", "\n", " 0% 0/7609 [00:00> Dropping the following result as it does not have all the necessary fields:\n", "{'task': {'name': 'Question Answering', 'type': 'question-answering'}, 'dataset': {'name': 'squad_it', 'type': 'squad_it'}}\n", "100% 1599/1599 [03:56<00:00, 6.77it/s]\n" ] } ] }, { "cell_type": "code", "source": [], "metadata": { "id": "rMyhUFpnItIQ" }, "execution_count": null, "outputs": [] } ] }