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{
  "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 /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (6.0)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (2022.10.31)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (2.27.1)\n",
            "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (0.13.3)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (0.3.1)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.31.0.dev0) (4.65.0)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers==4.31.0.dev0) (2023.4.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 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 /usr/local/lib/python3.10/dist-packages (from datasets) (4.65.0)\n",
            "Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from datasets) (3.2.0)\n",
            "Requirement already satisfied: multiprocess in /usr/local/lib/python3.10/dist-packages (from datasets) (0.70.14)\n",
            "Requirement already satisfied: fsspec[http]>=2021.11.1 in /usr/local/lib/python3.10/dist-packages (from datasets) (2023.4.0)\n",
            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets) (3.8.4)\n",
            "Requirement already satisfied: huggingface-hub<1.0.0,>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (0.15.1)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets) (23.1)\n",
            "Requirement already satisfied: responses<0.19 in /usr/local/lib/python3.10/dist-packages (from datasets) (0.18.0)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets) (6.0)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (23.1.0)\n",
            "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (2.0.12)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (6.0.4)\n",
            "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (4.0.2)\n",
            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.9.2)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.3.3)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.3.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0.0,>=0.11.0->datasets) (3.12.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0.0,>=0.11.0->datasets) (4.5.0)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets) (1.26.15)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets) (2022.12.7)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets) (3.4)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2022.7.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install accelerate"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xYEW0Hjqz2lo",
        "outputId": "e1485ec9-7436-479b-c6ea-c332f5e8742f"
      },
      "execution_count": 3,
      "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: accelerate in /usr/local/lib/python3.10/dist-packages (0.20.3)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.22.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.1)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0)\n",
            "Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.0.1+cu118)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->accelerate) (3.12.0)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->accelerate) (4.5.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->accelerate) (1.11.1)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->accelerate) (3.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->accelerate) (3.1.2)\n",
            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->accelerate) (2.0.0)\n",
            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->accelerate) (3.25.2)\n",
            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->accelerate) (16.0.5)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.6.0->accelerate) (2.1.2)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.6.0->accelerate) (1.3.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install evaluate"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9OFz3JdR0cQ_",
        "outputId": "d19842dd-32c0-4c32-a222-44eaad205ba1"
      },
      "execution_count": 4,
      "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: evaluate in /usr/local/lib/python3.10/dist-packages (0.4.0)\n",
            "Requirement already satisfied: datasets>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from evaluate) (2.12.0)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from evaluate) (1.22.4)\n",
            "Requirement already satisfied: dill in /usr/local/lib/python3.10/dist-packages (from evaluate) (0.3.6)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from evaluate) (1.5.3)\n",
            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from evaluate) (2.27.1)\n",
            "Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.10/dist-packages (from evaluate) (4.65.0)\n",
            "Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from evaluate) (3.2.0)\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/run_qa.py\n",
        "!wget https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/trainer_qa.py\n",
        "!wget https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/utils_qa.py"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JJhpBNwpxOTK",
        "outputId": "cfa59bca-e9fd-4ea8-a008-8bf30cef3a9d"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2023-06-11 20:53:20--  https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/run_qa.py\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.108.133, 185.199.110.133, ...\n",
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            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 31717 (31K) [text/plain]\n",
            "Saving to: ‘run_qa.py.2’\n",
            "\n",
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            "\n",
            "2023-06-11 20:53:20 (13.6 MB/s) - ‘run_qa.py.2’ saved [31717/31717]\n",
            "\n",
            "--2023-06-11 20:53:20--  https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/trainer_qa.py\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n",
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            "\n",
            "--2023-06-11 20:53:20--  https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/utils_qa.py\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
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            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ls"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Loa6y9XqzXJ4",
        "outputId": "b39fa79a-5cd7-4fa2-9426-522048f4b76f"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "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=<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=<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<?, ? examples/s]06/11/2023 20:53:32 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71/cache-f05ac3c41e20dd08.arrow\n",
            "06/11/2023 20:53:41 - INFO - __main__ - *** Predict ***\n",
            "[INFO|trainer.py:776] 2023-06-11 20:53:41,522 >> 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<?, ?it/s]\u001b[A\n",
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            "100% 7609/7609 [00:27<00:00, 281.47it/s]\n",
            "06/11/2023 20:57:34 - INFO - utils_qa - Saving predictions to eval_results/predict_predictions.json.\n",
            "06/11/2023 20:57:34 - INFO - utils_qa - Saving nbest_preds to eval_results/predict_nbest_predictions.json.\n",
            "***** predict metrics *****\n",
            "  predict_samples         =       7992\n",
            "  test_exact_match        =    65.7248\n",
            "  test_f1                 =    77.0614\n",
            "  test_runtime            = 0:03:14.17\n",
            "  test_samples_per_second =     41.158\n",
            "  test_steps_per_second   =      8.235\n",
            "[INFO|modelcard.py:451] 2023-06-11 20:57:38,434 >> 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": []
    }
  ]
}