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bert-italian-cased-question-answering

Question Answering
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bert
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- {
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- "accelerator": "GPU"
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- "cells": [
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- {
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- "cell_type": "markdown",
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- "source": [
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- "# osiria/bert-italian-cased-question-answering\n",
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- "## test set metrics"
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- ],
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- "metadata": {
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- "id": "oub2ir8ZDkrH"
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- {
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- "cell_type": "code",
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- "metadata": {
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- "id": "02K9xO6Gvto1",
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- "outputId": "6adbc718-df6a-437d-eb07-d67404f9cd2b"
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- "outputs": [
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- "text": [
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- "Collecting git+https://github.com/huggingface/transformers\n",
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- " Cloning https://github.com/huggingface/transformers to /tmp/pip-req-build-m860w1jf\n",
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- " Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-m860w1jf\n",
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- " Resolved https://github.com/huggingface/transformers to commit df5c5c62ae253055336f5bb0828ca8e3e15ab6bd\n",
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- " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
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- "Building wheels for collected packages: transformers\n",
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- " Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
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- " Created wheel for transformers: filename=transformers-4.36.0.dev0-py3-none-any.whl size=8195433 sha256=c5e14f23bb3ae5edc677f78f448f1a67a961992c880e0441c99cb6f4db9469cf\n",
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- " Stored in directory: /tmp/pip-ephem-wheel-cache-ytzg25y9/wheels/c0/14/d6/6c9a5582d2ac191ec0a483be151a4495fe1eb2a6706ca49f1b\n",
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- "Successfully built transformers\n",
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- "source": [
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- "!pip install git+https://github.com/huggingface/transformers"
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- "cell_type": "code",
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- "!wget https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/run_qa.py\n",
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- "!wget https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/trainer_qa.py\n",
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- "!wget https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/utils_qa.py"
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- "!ls"
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- "metadata": {
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- "colab": {
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- "base_uri": "https://localhost:8080/"
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- },
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- "id": "Loa6y9XqzXJ4",
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- "source": [
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- "metadata": {
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- "execution_count": 7,
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- "!python -m run_qa --model_name_or_path osiria/bert-italian-uncased-question-answering --dataset_name squad_it --do_predict --per_device_eval_batch_size=5 --output_dir eval_results"
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- "metadata": {
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- "2023-12-09 12:05:29.016992: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
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- "2023-12-09 12:05:29.017054: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
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- "2023-12-09 12:05:29.017091: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
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- "2023-12-09 12:05:30.116878: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
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- "12/09/2023 12:05:33 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, 16-bits training: False\n",
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- "_n_gpu=1,\n",
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- "adafactor=False,\n",
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- "adam_beta1=0.9,\n",
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- "adam_beta2=0.999,\n",
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- "auto_find_batch_size=False,\n",
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- "fsdp=[],\n",
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- "fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False},\n",
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- "fsdp_min_num_params=0,\n",
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- "fsdp_transformer_layer_cls_to_wrap=None,\n",
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- "full_determinism=False,\n",
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- "gradient_accumulation_steps=1,\n",
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- "gradient_checkpointing=False,\n",
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- "half_precision_backend=auto,\n",
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- "hub_always_push=False,\n",
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- "hub_private_repo=False,\n",
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- "hub_strategy=every_save,\n",
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- "ignore_data_skip=False,\n",
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- "no_cuda=False,\n",
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- "num_train_epochs=3.0,\n",
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- "per_device_eval_batch_size=5,\n",
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- "remove_unused_columns=True,\n",
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- "report_to=['tensorboard'],\n",
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- "save_on_each_node=False,\n",
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- ")\n",
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- "12/09/2023 12:05:35 - INFO - datasets.utils.file_utils - creating metadata file for /root/.cache/huggingface/datasets/downloads/b664892e5965a1ef2e173eadc7e9cbf6ad4aeb6240d7b3bb6ab9f32850363a6f.71fe7dbf5f3b574d85b57b5a722ebc49fe8ec8b03d655344891fb1b05c4634fb\n",
508
- "Loading Dataset Infos from /root/.cache/huggingface/modules/datasets_modules/datasets/squad_it/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71\n",
509
- "12/09/2023 12:05:35 - INFO - datasets.info - Loading Dataset Infos from /root/.cache/huggingface/modules/datasets_modules/datasets/squad_it/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71\n",
510
- "Generating dataset squad_it (/root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71)\n",
511
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512
- "Downloading and preparing dataset squad_it/default to /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71...\n",
513
- "12/09/2023 12:05:35 - INFO - datasets.builder - Downloading and preparing dataset squad_it/default to /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71...\n",
514
- "Dataset not on Hf google storage. Downloading and preparing it from source\n",
515
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516
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517
- "12/09/2023 12:05:36 - INFO - datasets.utils.file_utils - https://github.com/crux82/squad-it/raw/master/SQuAD_it-train.json.gz not found in cache or force_download set to True, downloading to /root/.cache/huggingface/datasets/downloads/44ac0548c3284061d1356ff7f5212fe42b923b0aa0854c886ce93dfeb7ab629b.incomplete\n",
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521
- "storing https://github.com/crux82/squad-it/raw/master/SQuAD_it-train.json.gz in cache at /root/.cache/huggingface/datasets/downloads/44ac0548c3284061d1356ff7f5212fe42b923b0aa0854c886ce93dfeb7ab629b\n",
522
- "12/09/2023 12:05:36 - INFO - datasets.utils.file_utils - storing https://github.com/crux82/squad-it/raw/master/SQuAD_it-train.json.gz in cache at /root/.cache/huggingface/datasets/downloads/44ac0548c3284061d1356ff7f5212fe42b923b0aa0854c886ce93dfeb7ab629b\n",
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525
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526
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527
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528
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529
- "storing https://github.com/crux82/squad-it/raw/master/SQuAD_it-test.json.gz in cache at /root/.cache/huggingface/datasets/downloads/e560a4a54eb929ce542e945627942afca80859dcbf499866a59984eb9026d31f\n",
530
- "12/09/2023 12:05:37 - INFO - datasets.utils.file_utils - storing https://github.com/crux82/squad-it/raw/master/SQuAD_it-test.json.gz in cache at /root/.cache/huggingface/datasets/downloads/e560a4a54eb929ce542e945627942afca80859dcbf499866a59984eb9026d31f\n",
531
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532
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539
- "Generating train split\n",
540
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541
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- "12/09/2023 12:05:44 - INFO - datasets.builder - Generating test split\n",
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545
- "All the splits matched successfully.\n",
546
- "12/09/2023 12:05:44 - INFO - datasets.utils.info_utils - All the splits matched successfully.\n",
547
- "Dataset squad_it downloaded and prepared to /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71. Subsequent calls will reuse this data.\n",
548
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549
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550
- "[INFO|configuration_utils.py:739] 2023-12-09 12:05:45,154 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--osiria--bert-italian-uncased-question-answering/snapshots/9985f20cde546f78a743c4d4f1efd605519b1c41/config.json\n",
551
- "[INFO|configuration_utils.py:802] 2023-12-09 12:05:45,159 >> Model config BertConfig {\n",
552
- " \"_name_or_path\": \"osiria/bert-italian-uncased-question-answering\",\n",
553
- " \"architectures\": [\n",
554
- " \"BertForQuestionAnswering\"\n",
555
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556
- " \"attention_probs_dropout_prob\": 0.1,\n",
557
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558
- " \"directionality\": \"bidi\",\n",
559
- " \"hidden_act\": \"gelu\",\n",
560
- " \"hidden_dropout_prob\": 0.1,\n",
561
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562
- " \"initializer_range\": 0.02,\n",
563
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572
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573
- " \"pooler_size_per_head\": 128,\n",
574
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575
- " \"position_embedding_type\": \"absolute\",\n",
576
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577
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578
- " \"type_vocab_size\": 2,\n",
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592
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595
- "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",
596
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597
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- "[INFO|trainer.py:712] 2023-12-09 12:06:10,618 >> The following columns in the test set don't have a corresponding argument in `BertForQuestionAnswering.forward` and have been ignored: example_id, offset_mapping. If example_id, offset_mapping are not expected by `BertForQuestionAnswering.forward`, you can safely ignore this message.\n",
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- " 29% 2215/7609 [00:08<00:20, 260.84it/s]\u001b[A\n",
690
- " 30% 2246/7609 [00:09<00:19, 273.74it/s]\u001b[A\n",
691
- " 30% 2275/7609 [00:09<00:19, 271.77it/s]\u001b[A\n",
692
- " 30% 2310/7609 [00:09<00:18, 292.22it/s]\u001b[A\n",
693
- " 31% 2345/7609 [00:09<00:17, 306.23it/s]\u001b[A\n",
694
- " 31% 2378/7609 [00:09<00:16, 312.21it/s]\u001b[A\n",
695
- " 32% 2413/7609 [00:09<00:16, 323.02it/s]\u001b[A\n",
696
- " 32% 2450/7609 [00:09<00:15, 334.26it/s]\u001b[A\n",
697
- " 33% 2484/7609 [00:09<00:16, 308.35it/s]\u001b[A\n",
698
- " 33% 2519/7609 [00:09<00:15, 318.95it/s]\u001b[A\n",
699
- " 34% 2552/7609 [00:10<00:15, 316.10it/s]\u001b[A\n",
700
- " 34% 2584/7609 [00:10<00:15, 317.13it/s]\u001b[A\n",
701
- " 34% 2616/7609 [00:10<00:15, 315.48it/s]\u001b[A\n",
702
- " 35% 2650/7609 [00:10<00:15, 319.91it/s]\u001b[A\n",
703
- " 35% 2683/7609 [00:10<00:15, 308.13it/s]\u001b[A\n",
704
- " 36% 2718/7609 [00:10<00:15, 318.76it/s]\u001b[A\n",
705
- " 36% 2751/7609 [00:10<00:15, 316.44it/s]\u001b[A\n",
706
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707
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708
- " 38% 2855/7609 [00:10<00:14, 332.27it/s]\u001b[A\n",
709
- " 38% 2889/7609 [00:11<00:14, 326.06it/s]\u001b[A\n",
710
- " 38% 2925/7609 [00:11<00:14, 333.63it/s]\u001b[A\n",
711
- " 39% 2960/7609 [00:11<00:13, 338.35it/s]\u001b[A\n",
712
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713
- " 40% 3030/7609 [00:11<00:13, 342.22it/s]\u001b[A\n",
714
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715
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716
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717
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718
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719
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720
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721
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722
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723
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724
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725
- " 45% 3431/7609 [00:12<00:12, 329.14it/s]\u001b[A\n",
726
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727
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728
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729
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730
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731
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732
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733
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734
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735
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736
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737
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738
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739
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740
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741
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742
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743
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744
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746
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747
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748
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759
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762
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764
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765
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766
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767
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768
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769
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770
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771
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772
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773
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774
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784
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786
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787
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788
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789
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790
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800
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811
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812
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813
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814
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815
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816
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817
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818
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819
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820
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821
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822
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823
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824
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825
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826
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827
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828
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829
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830
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831
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832
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833
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834
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835
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836
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837
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838
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840
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843
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844
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845
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846
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847
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848
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849
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850
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851
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852
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853
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854
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855
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856
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857
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858
- "100% 7609/7609 [00:27<00:00, 281.02it/s]\n",
859
- "12/09/2023 12:10:11 - INFO - utils_qa - Saving predictions to eval_results/predict_predictions.json.\n",
860
- "12/09/2023 12:10:11 - INFO - utils_qa - Saving nbest_preds to eval_results/predict_nbest_predictions.json.\n",
861
- "***** predict metrics *****\n",
862
- " predict_samples = 7942\n",
863
- " test_exact_match = 65.6065\n",
864
- " test_f1 = 77.1676\n",
865
- " test_runtime = 0:03:24.92\n",
866
- " test_samples_per_second = 38.757\n",
867
- " test_steps_per_second = 7.754\n",
868
- "[INFO|modelcard.py:452] 2023-12-09 12:10:15,872 >> Dropping the following result as it does not have all the necessary fields:\n",
869
- "{'task': {'name': 'Question Answering', 'type': 'question-answering'}, 'dataset': {'name': 'squad_it', 'type': 'squad_it'}}\n",
870
- "100% 1589/1589 [04:02<00:00, 6.56it/s]\n"
871
- ]
872
- }
873
- ]
874
- },
875
- {
876
- "cell_type": "code",
877
- "source": [],
878
- "metadata": {
879
- "id": "rMyhUFpnItIQ"
880
- },
881
- "execution_count": null,
882
- "outputs": []
883
- }
884
- ]
885
- }