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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/minilm-italian-l6-h384-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": "3f72da34-6228-451a-c656-3f9fbb358e7f"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting git+https://github.com/huggingface/transformers\n",
" Cloning https://github.com/huggingface/transformers to /tmp/pip-req-build-zw2jat5c\n",
" Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-zw2jat5c\n",
" Resolved https://github.com/huggingface/transformers to commit df5c5c62ae253055336f5bb0828ca8e3e15ab6bd\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==4.36.0.dev0) (3.13.1)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (0.19.4)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (1.23.5)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (23.2)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (6.0.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (2023.6.3)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (2.31.0)\n",
"Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (0.15.0)\n",
"Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (0.4.1)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.36.0.dev0) (4.66.1)\n",
"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers==4.36.0.dev0) (2023.6.0)\n",
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"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.36.0.dev0) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.36.0.dev0) (3.6)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.36.0.dev0) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.36.0.dev0) (2023.11.17)\n",
"Building wheels for collected packages: transformers\n",
" Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for transformers: filename=transformers-4.36.0.dev0-py3-none-any.whl size=8195433 sha256=8bf5185dab843815883ed25caa99c87242dfa4ee86bdfdc0be3e42a6cfa8a17c\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-_xtobubu/wheels/c0/14/d6/6c9a5582d2ac191ec0a483be151a4495fe1eb2a6706ca49f1b\n",
"Successfully built transformers\n",
"Installing collected packages: transformers\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.35.2\n",
" Uninstalling transformers-4.35.2:\n",
" Successfully uninstalled transformers-4.35.2\n",
"Successfully installed transformers-4.36.0.dev0\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": "033a0aae-2528-4994-90b0-06c6d01bfdb3"
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting datasets\n",
" Downloading datasets-2.15.0-py3-none-any.whl (521 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m521.2/521.2 kB\u001b[0m \u001b[31m3.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"Collecting pyarrow-hotfix (from datasets)\n",
" Downloading pyarrow_hotfix-0.6-py3-none-any.whl (7.9 kB)\n",
"Collecting dill<0.3.8,>=0.3.0 (from datasets)\n",
" Downloading dill-0.3.7-py3-none-any.whl (115 kB)\n",
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" Downloading multiprocess-0.70.15-py310-none-any.whl (134 kB)\n",
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"Installing collected packages: pyarrow-hotfix, dill, multiprocess, datasets\n",
"Successfully installed datasets-2.15.0 dill-0.3.7 multiprocess-0.70.15 pyarrow-hotfix-0.6\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!pip install accelerate"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xYEW0Hjqz2lo",
"outputId": "a0e36c52-c360-4a01-8618-1489551286f8"
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting accelerate\n",
" Downloading accelerate-0.25.0-py3-none-any.whl (265 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m265.7/265.7 kB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.23.5)\n",
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"Installing collected packages: accelerate\n",
"Successfully installed accelerate-0.25.0\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!pip install evaluate"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "9OFz3JdR0cQ_",
"outputId": "137e11b1-d6ce-4ba7-89b9-1ce61fac9964"
},
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting evaluate\n",
" Downloading evaluate-0.4.1-py3-none-any.whl (84 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.1/84.1 kB\u001b[0m \u001b[31m965.1 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"Collecting responses<0.19 (from evaluate)\n",
" Downloading responses-0.18.0-py3-none-any.whl (38 kB)\n",
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"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->evaluate) (1.16.0)\n",
"Installing collected packages: responses, evaluate\n",
"Successfully installed evaluate-0.4.1 responses-0.18.0\n"
]
}
]
},
{
"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": "e656d5a0-4f25-4e7b-8200-039389ad88ae"
},
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"--2023-12-09 13:04:52-- https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/question-answering/run_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",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 32883 (32K) [text/plain]\n",
"Saving to: ‘run_qa.py’\n",
"\n",
"\rrun_qa.py 0%[ ] 0 --.-KB/s \rrun_qa.py 100%[===================>] 32.11K --.-KB/s in 0.01s \n",
"\n",
"2023-12-09 13:04:52 (3.06 MB/s) - ‘run_qa.py’ saved [32883/32883]\n",
"\n",
"--2023-12-09 13:04:52-- 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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"Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.108.133, 185.199.109.133, ...\n",
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"\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!ls"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Loa6y9XqzXJ4",
"outputId": "0aa57423-b1a3-4961-b7ce-8eeb9b7ea175"
},
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"run_qa.py sample_data\ttrainer_qa.py utils_qa.py\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!mkdir eval_results"
],
"metadata": {
"id": "QDNxV31P0reW"
},
"execution_count": 7,
"outputs": []
},
{
"cell_type": "code",
"source": [
"!python -m run_qa --model_name_or_path osiria/minilm-italian-l6-h384-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": "285a1739-b358-4127-8429-5437f35682ae"
},
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"2023-12-09 13:05:00.034232: 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",
"2023-12-09 13:05:00.034295: 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",
"2023-12-09 13:05:00.034336: 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",
"2023-12-09 13:05:01.133400: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
"12/09/2023 13:05:04 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, 16-bits training: False\n",
"12/09/2023 13:05:04 - 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_persistent_workers=False,\n",
"dataloader_pin_memory=True,\n",
"ddp_backend=None,\n",
"ddp_broadcast_buffers=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",
"dispatch_batches=None,\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={'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",
"gradient_checkpointing_kwargs=None,\n",
"greater_is_better=None,\n",
"group_by_length=False,\n",
"half_precision_backend=auto,\n",
"hub_always_push=False,\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",
"include_num_input_tokens_seen=False,\n",
"include_tokens_per_second=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/Dec09_13-05-04_f36df394933d,\n",
"logging_first_step=False,\n",
"logging_nan_inf_filter=True,\n",
"logging_steps=500,\n",
"logging_strategy=steps,\n",
"lr_scheduler_kwargs={},\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",
"neftune_noise_alpha=None,\n",
"no_cuda=False,\n",
"num_train_epochs=3.0,\n",
"optim=adamw_torch,\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_only_model=False,\n",
"save_safetensors=True,\n",
"save_steps=500,\n",
"save_strategy=steps,\n",
"save_total_limit=None,\n",
"seed=42,\n",
"skip_memory_metrics=True,\n",
"split_batches=False,\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_cpu=False,\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",
")\n",
"https://huggingface.co/datasets/squad_it/resolve/main/squad_it.py not found in cache or force_download set to True, downloading to /root/.cache/huggingface/datasets/downloads/2f7a246f661e6acb3a9ad072ed14241ea343265e7d863b88717897941c3ab1dd.671c3c3daf2f05e0355b498b0f5a7f2167fa94dc6de36195fe1ba0503e6dcc30.py.incomplete\n",
"12/09/2023 13:05:04 - INFO - datasets.utils.file_utils - https://huggingface.co/datasets/squad_it/resolve/main/squad_it.py not found in cache or force_download set to True, downloading to /root/.cache/huggingface/datasets/downloads/2f7a246f661e6acb3a9ad072ed14241ea343265e7d863b88717897941c3ab1dd.671c3c3daf2f05e0355b498b0f5a7f2167fa94dc6de36195fe1ba0503e6dcc30.py.incomplete\n",
"Downloading builder script: 100% 4.74k/4.74k [00:00<00:00, 17.6MB/s]\n",
"storing https://huggingface.co/datasets/squad_it/resolve/main/squad_it.py in cache at /root/.cache/huggingface/datasets/downloads/2f7a246f661e6acb3a9ad072ed14241ea343265e7d863b88717897941c3ab1dd.671c3c3daf2f05e0355b498b0f5a7f2167fa94dc6de36195fe1ba0503e6dcc30.py\n",
"12/09/2023 13:05:04 - INFO - datasets.utils.file_utils - storing https://huggingface.co/datasets/squad_it/resolve/main/squad_it.py in cache at /root/.cache/huggingface/datasets/downloads/2f7a246f661e6acb3a9ad072ed14241ea343265e7d863b88717897941c3ab1dd.671c3c3daf2f05e0355b498b0f5a7f2167fa94dc6de36195fe1ba0503e6dcc30.py\n",
"creating metadata file for /root/.cache/huggingface/datasets/downloads/2f7a246f661e6acb3a9ad072ed14241ea343265e7d863b88717897941c3ab1dd.671c3c3daf2f05e0355b498b0f5a7f2167fa94dc6de36195fe1ba0503e6dcc30.py\n",
"12/09/2023 13:05:04 - INFO - datasets.utils.file_utils - creating metadata file for /root/.cache/huggingface/datasets/downloads/2f7a246f661e6acb3a9ad072ed14241ea343265e7d863b88717897941c3ab1dd.671c3c3daf2f05e0355b498b0f5a7f2167fa94dc6de36195fe1ba0503e6dcc30.py\n",
"https://huggingface.co/datasets/squad_it/resolve/main/dataset_infos.json not found in cache or force_download set to True, downloading to /root/.cache/huggingface/datasets/downloads/f6d7650a1e4a9f0e42b54f34ac614f7c1142ad26c1bd19a448eb606fe09f7515.b459489a7b1a4d859decbeef851034c7846ef6cce8ec2cf192cf4b4f40d0865d.incomplete\n",
"12/09/2023 13:05:05 - INFO - datasets.utils.file_utils - https://huggingface.co/datasets/squad_it/resolve/main/dataset_infos.json not found in cache or force_download set to True, downloading to /root/.cache/huggingface/datasets/downloads/f6d7650a1e4a9f0e42b54f34ac614f7c1142ad26c1bd19a448eb606fe09f7515.b459489a7b1a4d859decbeef851034c7846ef6cce8ec2cf192cf4b4f40d0865d.incomplete\n",
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"12/09/2023 13:05:05 - INFO - datasets.utils.file_utils - storing https://huggingface.co/datasets/squad_it/resolve/main/dataset_infos.json in cache at /root/.cache/huggingface/datasets/downloads/f6d7650a1e4a9f0e42b54f34ac614f7c1142ad26c1bd19a448eb606fe09f7515.b459489a7b1a4d859decbeef851034c7846ef6cce8ec2cf192cf4b4f40d0865d\n",
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"Loading Dataset Infos from /root/.cache/huggingface/modules/datasets_modules/datasets/squad_it/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71\n",
"12/09/2023 13:05:05 - INFO - datasets.info - Loading Dataset Infos from /root/.cache/huggingface/modules/datasets_modules/datasets/squad_it/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71\n",
"Generating dataset squad_it (/root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71)\n",
"12/09/2023 13:05:05 - INFO - datasets.builder - Generating dataset squad_it (/root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71)\n",
"Downloading and preparing dataset squad_it/default to /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71...\n",
"12/09/2023 13:05:05 - INFO - datasets.builder - Downloading and preparing dataset squad_it/default to /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71...\n",
"Dataset not on Hf google storage. Downloading and preparing it from source\n",
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"\n",
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"Downloading data files: 50% 1/2 [00:01<00:01, 1.55s/it]https://github.com/crux82/squad-it/raw/master/SQuAD_it-test.json.gz not found in cache or force_download set to True, downloading to /root/.cache/huggingface/datasets/downloads/e560a4a54eb929ce542e945627942afca80859dcbf499866a59984eb9026d31f.incomplete\n",
"12/09/2023 13:05:07 - INFO - datasets.utils.file_utils - https://github.com/crux82/squad-it/raw/master/SQuAD_it-test.json.gz not found in cache or force_download set to True, downloading to /root/.cache/huggingface/datasets/downloads/e560a4a54eb929ce542e945627942afca80859dcbf499866a59984eb9026d31f.incomplete\n",
"\n",
"Downloading data: 100% 1.05M/1.05M [00:00<00:00, 15.8MB/s]\n",
"storing https://github.com/crux82/squad-it/raw/master/SQuAD_it-test.json.gz in cache at /root/.cache/huggingface/datasets/downloads/e560a4a54eb929ce542e945627942afca80859dcbf499866a59984eb9026d31f\n",
"12/09/2023 13:05:08 - 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",
"creating metadata file for /root/.cache/huggingface/datasets/downloads/e560a4a54eb929ce542e945627942afca80859dcbf499866a59984eb9026d31f\n",
"12/09/2023 13:05:08 - INFO - datasets.utils.file_utils - creating metadata file for /root/.cache/huggingface/datasets/downloads/e560a4a54eb929ce542e945627942afca80859dcbf499866a59984eb9026d31f\n",
"Downloading data files: 100% 2/2 [00:02<00:00, 1.20s/it]\n",
"Downloading took 0.0 min\n",
"12/09/2023 13:05:08 - INFO - datasets.download.download_manager - Downloading took 0.0 min\n",
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"Generating train split\n",
"12/09/2023 13:05:08 - INFO - datasets.builder - Generating train split\n",
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"Generating test split\n",
"12/09/2023 13:05:14 - INFO - datasets.builder - Generating test split\n",
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"All the splits matched successfully.\n",
"12/09/2023 13:05:15 - INFO - datasets.utils.info_utils - All the splits matched successfully.\n",
"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",
"12/09/2023 13:05:15 - INFO - datasets.builder - 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",
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"[INFO|configuration_utils.py:739] 2023-12-09 13:05:15,608 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--osiria--minilm-italian-l6-h384-question-answering/snapshots/1faf21988c80be33048fe9d3e0bb98aafec858bb/config.json\n",
"[INFO|configuration_utils.py:802] 2023-12-09 13:05:15,613 >> Model config XLMRobertaConfig {\n",
" \"_name_or_path\": \"osiria/minilm-italian-l6-h384-question-answering\",\n",
" \"architectures\": [\n",
" \"XLMRobertaForQuestionAnswering\"\n",
" ],\n",
" \"attention_probs_dropout_prob\": 0.1,\n",
" \"bos_token_id\": 0,\n",
" \"classifier_dropout\": null,\n",
" \"eos_token_id\": 2,\n",
" \"hidden_act\": \"gelu\",\n",
" \"hidden_dropout_prob\": 0.1,\n",
" \"hidden_size\": 384,\n",
" \"initializer_range\": 0.02,\n",
" \"intermediate_size\": 1536,\n",
" \"layer_norm_eps\": 1e-05,\n",
" \"max_position_embeddings\": 514,\n",
" \"model_type\": \"xlm-roberta\",\n",
" \"num_attention_heads\": 12,\n",
" \"num_hidden_layers\": 6,\n",
" \"pad_token_id\": 1,\n",
" \"position_embedding_type\": \"absolute\",\n",
" \"torch_dtype\": \"float32\",\n",
" \"transformers_version\": \"4.36.0.dev0\",\n",
" \"type_vocab_size\": 1,\n",
" \"use_cache\": true,\n",
" \"vocab_size\": 30498\n",
"}\n",
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"[INFO|tokenization_utils_base.py:2026] 2023-12-09 13:05:16,227 >> loading file sentencepiece.bpe.model from cache at None\n",
"[INFO|tokenization_utils_base.py:2026] 2023-12-09 13:05:16,227 >> loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--osiria--minilm-italian-l6-h384-question-answering/snapshots/1faf21988c80be33048fe9d3e0bb98aafec858bb/tokenizer.json\n",
"[INFO|tokenization_utils_base.py:2026] 2023-12-09 13:05:16,227 >> loading file added_tokens.json from cache at None\n",
"[INFO|tokenization_utils_base.py:2026] 2023-12-09 13:05:16,227 >> loading file special_tokens_map.json from cache at /root/.cache/huggingface/hub/models--osiria--minilm-italian-l6-h384-question-answering/snapshots/1faf21988c80be33048fe9d3e0bb98aafec858bb/special_tokens_map.json\n",
"[INFO|tokenization_utils_base.py:2026] 2023-12-09 13:05:16,228 >> loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--osiria--minilm-italian-l6-h384-question-answering/snapshots/1faf21988c80be33048fe9d3e0bb98aafec858bb/tokenizer_config.json\n",
"pytorch_model.bin: 100% 90.3M/90.3M [00:01<00:00, 57.7MB/s]\n",
"[INFO|modeling_utils.py:3299] 2023-12-09 13:05:18,490 >> loading weights file pytorch_model.bin from cache at /root/.cache/huggingface/hub/models--osiria--minilm-italian-l6-h384-question-answering/snapshots/1faf21988c80be33048fe9d3e0bb98aafec858bb/pytorch_model.bin\n",
"[INFO|modeling_utils.py:4139] 2023-12-09 13:05:18,858 >> All model checkpoint weights were used when initializing XLMRobertaForQuestionAnswering.\n",
"\n",
"[INFO|modeling_utils.py:4147] 2023-12-09 13:05:18,858 >> All the weights of XLMRobertaForQuestionAnswering were initialized from the model checkpoint at osiria/minilm-italian-l6-h384-question-answering.\n",
"If your task is similar to the task the model of the checkpoint was trained on, you can already use XLMRobertaForQuestionAnswering for predictions without further training.\n",
"Running tokenizer on prediction dataset: 0% 0/7609 [00:00<?, ? examples/s]Caching processed dataset at /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71/cache-817e084ce623e156.arrow\n",
"12/09/2023 13:05:19 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71/cache-817e084ce623e156.arrow\n",
"Running tokenizer on prediction dataset: 100% 7609/7609 [00:08<00:00, 880.77 examples/s]\n",
"Downloading builder script: 100% 4.53k/4.53k [00:00<00:00, 18.0MB/s]\n",
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"12/09/2023 13:05:33 - INFO - __main__ - *** Predict ***\n",
"[INFO|trainer.py:712] 2023-12-09 13:05:33,267 >> The following columns in the test set don't have a corresponding argument in `XLMRobertaForQuestionAnswering.forward` and have been ignored: offset_mapping, example_id. If offset_mapping, example_id are not expected by `XLMRobertaForQuestionAnswering.forward`, you can safely ignore this message.\n",
"[INFO|trainer.py:3154] 2023-12-09 13:05:33,270 >> ***** Running Prediction *****\n",
"[INFO|trainer.py:3156] 2023-12-09 13:05:33,270 >> Num examples = 7988\n",
"[INFO|trainer.py:3159] 2023-12-09 13:05:33,270 >> Batch size = 5\n",
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"12/09/2023 13:06:45 - INFO - utils_qa - Saving predictions to eval_results/predict_predictions.json.\n",
"12/09/2023 13:06:45 - INFO - utils_qa - Saving nbest_preds to eval_results/predict_nbest_predictions.json.\n",
"***** predict metrics *****\n",
" predict_samples = 7988\n",
" test_exact_match = 60.7307\n",
" test_f1 = 72.4316\n",
" test_runtime = 0:00:40.66\n",
" test_samples_per_second = 196.422\n",
" test_steps_per_second = 39.294\n",
"[INFO|modelcard.py:452] 2023-12-09 13:06:49,887 >> 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% 1598/1598 [01:14<00:00, 21.57it/s]\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "ij8YkY0xyNXI"
},
"execution_count": null,
"outputs": []
}
]
} |