Upload osiria_deberta_italian_qa_evaluation.ipynb
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osiria_deberta_italian_qa_evaluation.ipynb
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| 1 |
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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| 5 |
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"colab": {
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"display_name": "Python 3"
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"source": [
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"# osiria/deberta-italian-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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"id": "02K9xO6Gvto1",
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"outputId": "29e1d40b-749c-42b4-e182-4b63ebcc9418"
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"outputs": [
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"text": [
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"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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"Collecting git+https://github.com/huggingface/transformers\n",
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" Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-k2caxkht\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-4.30.0.dev0-py3-none-any.whl size=7138714 sha256=89a0efbe4dd8919f94cc3c42cefeba7534b015aae8caed503d8b9d9c5a1ef7dd\n",
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"Installing collected packages: tokenizers, safetensors, huggingface-hub, transformers\n",
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"source": [
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],
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"metadata": {
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"colab": {
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+
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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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"outputs": [
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"text": [
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"run_qa.py sample_data\ttrainer_qa.py utils_qa.py\n"
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{
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"cell_type": "code",
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"source": [
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+
"!mkdir eval_results"
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+
],
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+
"metadata": {
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+
"id": "QDNxV31P0reW"
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"outputs": []
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+
{
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+
"cell_type": "code",
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+
"source": [
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+
"!python -m run_qa --model_name_or_path osiria/deberta-italian-question-answering --dataset_name squad_it --do_predict --per_device_eval_batch_size=5 --output_dir eval_results"
|
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+
],
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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": "B5O5Lom8x_c4",
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"outputId": "abcf118b-6a83-4bb2-db83-b715ac727688"
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+
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"outputs": [
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+
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+
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+
"name": "stdout",
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+
"text": [
|
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+
"2023-06-01 22:15:37.369548: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
|
| 373 |
+
"06/01/2023 22:15:41 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: False\n",
|
| 374 |
+
"06/01/2023 22:15:41 - INFO - __main__ - Training/evaluation parameters TrainingArguments(\n",
|
| 375 |
+
"_n_gpu=1,\n",
|
| 376 |
+
"adafactor=False,\n",
|
| 377 |
+
"adam_beta1=0.9,\n",
|
| 378 |
+
"adam_beta2=0.999,\n",
|
| 379 |
+
"adam_epsilon=1e-08,\n",
|
| 380 |
+
"auto_find_batch_size=False,\n",
|
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+
"bf16=False,\n",
|
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+
"bf16_full_eval=False,\n",
|
| 383 |
+
"data_seed=None,\n",
|
| 384 |
+
"dataloader_drop_last=False,\n",
|
| 385 |
+
"dataloader_num_workers=0,\n",
|
| 386 |
+
"dataloader_pin_memory=True,\n",
|
| 387 |
+
"ddp_backend=None,\n",
|
| 388 |
+
"ddp_bucket_cap_mb=None,\n",
|
| 389 |
+
"ddp_find_unused_parameters=None,\n",
|
| 390 |
+
"ddp_timeout=1800,\n",
|
| 391 |
+
"debug=[],\n",
|
| 392 |
+
"deepspeed=None,\n",
|
| 393 |
+
"disable_tqdm=False,\n",
|
| 394 |
+
"do_eval=False,\n",
|
| 395 |
+
"do_predict=True,\n",
|
| 396 |
+
"do_train=False,\n",
|
| 397 |
+
"eval_accumulation_steps=None,\n",
|
| 398 |
+
"eval_delay=0,\n",
|
| 399 |
+
"eval_steps=None,\n",
|
| 400 |
+
"evaluation_strategy=no,\n",
|
| 401 |
+
"fp16=False,\n",
|
| 402 |
+
"fp16_backend=auto,\n",
|
| 403 |
+
"fp16_full_eval=False,\n",
|
| 404 |
+
"fp16_opt_level=O1,\n",
|
| 405 |
+
"fsdp=[],\n",
|
| 406 |
+
"fsdp_config={'fsdp_min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False},\n",
|
| 407 |
+
"fsdp_min_num_params=0,\n",
|
| 408 |
+
"fsdp_transformer_layer_cls_to_wrap=None,\n",
|
| 409 |
+
"full_determinism=False,\n",
|
| 410 |
+
"gradient_accumulation_steps=1,\n",
|
| 411 |
+
"gradient_checkpointing=False,\n",
|
| 412 |
+
"greater_is_better=None,\n",
|
| 413 |
+
"group_by_length=False,\n",
|
| 414 |
+
"half_precision_backend=auto,\n",
|
| 415 |
+
"hub_model_id=None,\n",
|
| 416 |
+
"hub_private_repo=False,\n",
|
| 417 |
+
"hub_strategy=every_save,\n",
|
| 418 |
+
"hub_token=<HUB_TOKEN>,\n",
|
| 419 |
+
"ignore_data_skip=False,\n",
|
| 420 |
+
"include_inputs_for_metrics=False,\n",
|
| 421 |
+
"jit_mode_eval=False,\n",
|
| 422 |
+
"label_names=None,\n",
|
| 423 |
+
"label_smoothing_factor=0.0,\n",
|
| 424 |
+
"learning_rate=5e-05,\n",
|
| 425 |
+
"length_column_name=length,\n",
|
| 426 |
+
"load_best_model_at_end=False,\n",
|
| 427 |
+
"local_rank=0,\n",
|
| 428 |
+
"log_level=passive,\n",
|
| 429 |
+
"log_level_replica=warning,\n",
|
| 430 |
+
"log_on_each_node=True,\n",
|
| 431 |
+
"logging_dir=eval_results/runs/Jun01_22-15-40_8f1ed0a6ad1b,\n",
|
| 432 |
+
"logging_first_step=False,\n",
|
| 433 |
+
"logging_nan_inf_filter=True,\n",
|
| 434 |
+
"logging_steps=500,\n",
|
| 435 |
+
"logging_strategy=steps,\n",
|
| 436 |
+
"lr_scheduler_type=linear,\n",
|
| 437 |
+
"max_grad_norm=1.0,\n",
|
| 438 |
+
"max_steps=-1,\n",
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| 439 |
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"metric_for_best_model=None,\n",
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| 440 |
+
"mp_parameters=,\n",
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| 441 |
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"no_cuda=False,\n",
|
| 442 |
+
"num_train_epochs=3.0,\n",
|
| 443 |
+
"optim=adamw_hf,\n",
|
| 444 |
+
"optim_args=None,\n",
|
| 445 |
+
"output_dir=eval_results,\n",
|
| 446 |
+
"overwrite_output_dir=False,\n",
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+
"past_index=-1,\n",
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| 448 |
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"per_device_eval_batch_size=5,\n",
|
| 449 |
+
"per_device_train_batch_size=8,\n",
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| 450 |
+
"prediction_loss_only=False,\n",
|
| 451 |
+
"push_to_hub=False,\n",
|
| 452 |
+
"push_to_hub_model_id=None,\n",
|
| 453 |
+
"push_to_hub_organization=None,\n",
|
| 454 |
+
"push_to_hub_token=<PUSH_TO_HUB_TOKEN>,\n",
|
| 455 |
+
"ray_scope=last,\n",
|
| 456 |
+
"remove_unused_columns=True,\n",
|
| 457 |
+
"report_to=['tensorboard'],\n",
|
| 458 |
+
"resume_from_checkpoint=None,\n",
|
| 459 |
+
"run_name=eval_results,\n",
|
| 460 |
+
"save_on_each_node=False,\n",
|
| 461 |
+
"save_safetensors=False,\n",
|
| 462 |
+
"save_steps=500,\n",
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| 463 |
+
"save_strategy=steps,\n",
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| 464 |
+
"save_total_limit=None,\n",
|
| 465 |
+
"seed=42,\n",
|
| 466 |
+
"sharded_ddp=[],\n",
|
| 467 |
+
"skip_memory_metrics=True,\n",
|
| 468 |
+
"tf32=None,\n",
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| 469 |
+
"torch_compile=False,\n",
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| 470 |
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"torch_compile_backend=None,\n",
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| 471 |
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"torch_compile_mode=None,\n",
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| 472 |
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"torchdynamo=None,\n",
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+
"tpu_metrics_debug=False,\n",
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+
"tpu_num_cores=None,\n",
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"use_ipex=False,\n",
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"use_legacy_prediction_loop=False,\n",
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"use_mps_device=False,\n",
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"warmup_ratio=0.0,\n",
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"warmup_steps=0,\n",
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"weight_decay=0.0,\n",
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"xpu_backend=None,\n",
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+
")\n",
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"06/01/2023 22:15:42 - 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/tmpofsetih3\n",
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"06/01/2023 22:15:42 - 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",
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"06/01/2023 22:15:42 - INFO - datasets.utils.file_utils - creating metadata file for /root/.cache/huggingface/datasets/downloads/2f7a246f661e6acb3a9ad072ed14241ea343265e7d863b88717897941c3ab1dd.671c3c3daf2f05e0355b498b0f5a7f2167fa94dc6de36195fe1ba0503e6dcc30.py\n",
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"06/01/2023 22:15:43 - 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/tmpoickid2o\n",
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"06/01/2023 22:15:43 - 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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"06/01/2023 22:15:43 - INFO - datasets.utils.file_utils - creating metadata file for /root/.cache/huggingface/datasets/downloads/f6d7650a1e4a9f0e42b54f34ac614f7c1142ad26c1bd19a448eb606fe09f7515.b459489a7b1a4d859decbeef851034c7846ef6cce8ec2cf192cf4b4f40d0865d\n",
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"06/01/2023 22:15:43 - INFO - datasets.utils.file_utils - https://huggingface.co/datasets/squad_it/resolve/main/README.md not found in cache or force_download set to True, downloading to /root/.cache/huggingface/datasets/downloads/tmp99adhx5x\n",
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"06/01/2023 22:15:43 - INFO - datasets.utils.file_utils - storing https://huggingface.co/datasets/squad_it/resolve/main/README.md in cache at /root/.cache/huggingface/datasets/downloads/b664892e5965a1ef2e173eadc7e9cbf6ad4aeb6240d7b3bb6ab9f32850363a6f.71fe7dbf5f3b574d85b57b5a722ebc49fe8ec8b03d655344891fb1b05c4634fb\n",
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"06/01/2023 22:15:43 - INFO - datasets.utils.file_utils - creating metadata file for /root/.cache/huggingface/datasets/downloads/b664892e5965a1ef2e173eadc7e9cbf6ad4aeb6240d7b3bb6ab9f32850363a6f.71fe7dbf5f3b574d85b57b5a722ebc49fe8ec8b03d655344891fb1b05c4634fb\n",
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"06/01/2023 22:15:43 - INFO - datasets.info - Loading Dataset Infos from /root/.cache/huggingface/modules/datasets_modules/datasets/squad_it/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71\n",
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"06/01/2023 22:15:43 - INFO - datasets.builder - Generating dataset squad_it (/root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71)\n",
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"Downloading and preparing dataset squad_it/default to /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71...\n",
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"06/01/2023 22:15:45 - INFO - datasets.builder - Dataset not on Hf google storage. Downloading and preparing it from source\n",
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"06/01/2023 22:15:52 - INFO - datasets.builder - Generating test split\n",
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"06/01/2023 22:15:53 - INFO - datasets.utils.info_utils - All the splits matched successfully.\n",
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"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:669] 2023-06-01 22:15:54,044 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--osiria--deberta-italian-question-answering/snapshots/2b164a0777ece87f9ea321432e558423ca862eea/config.json\n",
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"[INFO|configuration_utils.py:725] 2023-06-01 22:15:54,050 >> Model config DebertaV2Config {\n",
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" \"_name_or_path\": \"osiria/deberta-italian-question-answering\",\n",
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" \"architectures\": [\n",
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" \"DebertaV2ForQuestionAnswering\"\n",
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" ],\n",
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" \"attention_probs_dropout_prob\": 0.1,\n",
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" \"hidden_act\": \"gelu\",\n",
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" \"hidden_dropout_prob\": 0.1,\n",
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" \"initializer_range\": 0.02,\n",
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" \"intermediate_size\": 3072,\n",
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" \"layer_norm_eps\": 1e-07,\n",
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" \"max_position_embeddings\": 512,\n",
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" \"max_relative_positions\": -1,\n",
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" \"model_type\": \"deberta-v2\",\n",
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" \"norm_rel_ebd\": \"layer_norm\",\n",
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" \"num_attention_heads\": 12,\n",
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" \"num_hidden_layers\": 12,\n",
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" \"pad_token_id\": 0,\n",
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" \"pooler_dropout\": 0,\n",
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" \"pooler_hidden_act\": \"gelu\",\n",
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" \"pooler_hidden_size\": 768,\n",
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" \"pos_att_type\": [\n",
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" \"p2c\",\n",
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" \"c2p\"\n",
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" ],\n",
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" \"position_biased_input\": false,\n",
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" \"position_buckets\": 256,\n",
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" \"relative_attention\": true,\n",
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" \"share_att_key\": true,\n",
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" \"torch_dtype\": \"float32\",\n",
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" \"transformers_version\": \"4.30.0.dev0\",\n",
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" \"type_vocab_size\": 0,\n",
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" \"vocab_size\": 50256\n",
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"}\n",
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"[INFO|tokenization_utils_base.py:1818] 2023-06-01 22:15:57,482 >> loading file spm.model from cache at None\n",
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"[INFO|tokenization_utils_base.py:1818] 2023-06-01 22:15:57,482 >> loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--osiria--deberta-italian-question-answering/snapshots/2b164a0777ece87f9ea321432e558423ca862eea/tokenizer.json\n",
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"[INFO|tokenization_utils_base.py:1818] 2023-06-01 22:15:57,482 >> loading file added_tokens.json from cache at None\n",
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"[INFO|tokenization_utils_base.py:1818] 2023-06-01 22:15:57,482 >> loading file special_tokens_map.json from cache at None\n",
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"[INFO|tokenization_utils_base.py:1818] 2023-06-01 22:15:57,482 >> loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--osiria--deberta-italian-question-answering/snapshots/2b164a0777ece87f9ea321432e558423ca862eea/tokenizer_config.json\n",
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"[INFO|modeling_utils.py:2574] 2023-06-01 22:16:27,690 >> loading weights file pytorch_model.bin from cache at /root/.cache/huggingface/hub/models--osiria--deberta-italian-question-answering/snapshots/2b164a0777ece87f9ea321432e558423ca862eea/pytorch_model.bin\n",
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"[INFO|modeling_utils.py:3283] 2023-06-01 22:16:29,065 >> All model checkpoint weights were used when initializing DebertaV2ForQuestionAnswering.\n",
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"\n",
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"[INFO|modeling_utils.py:3291] 2023-06-01 22:16:29,065 >> All the weights of DebertaV2ForQuestionAnswering were initialized from the model checkpoint at osiria/deberta-italian-question-answering.\n",
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"If your task is similar to the task the model of the checkpoint was trained on, you can already use DebertaV2ForQuestionAnswering for predictions without further training.\n",
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"Running tokenizer on prediction dataset: 0% 0/7609 [00:00<?, ? examples/s]06/01/2023 22:16:29 - INFO - datasets.arrow_dataset - Caching processed dataset at /root/.cache/huggingface/datasets/squad_it/default/0.1.0/d442bdb4794b4bae227ab19105b76d706ed7cf2ac342e4c9da4a5c36bde19d71/cache-c70dd3f912ae21c4.arrow\n",
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"06/01/2023 22:16:44 - INFO - __main__ - *** Predict ***\n",
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"[INFO|trainer.py:793] 2023-06-01 22:16:44,390 >> The following columns in the test set don't have a corresponding argument in `DebertaV2ForQuestionAnswering.forward` and have been ignored: example_id, offset_mapping. If example_id, offset_mapping are not expected by `DebertaV2ForQuestionAnswering.forward`, you can safely ignore this message.\n",
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"[INFO|trainer.py:3175] 2023-06-01 22:16:44,392 >> ***** Running Prediction *****\n",
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| 612 |
+
" 10% 781/7609 [00:03<00:22, 309.86it/s]\u001b[A\n",
|
| 613 |
+
" 11% 813/7609 [00:03<00:23, 288.11it/s]\u001b[A\n",
|
| 614 |
+
" 11% 843/7609 [00:03<00:23, 285.63it/s]\u001b[A\n",
|
| 615 |
+
" 11% 875/7609 [00:03<00:23, 292.71it/s]\u001b[A\n",
|
| 616 |
+
" 12% 908/7609 [00:03<00:22, 302.47it/s]\u001b[A\n",
|
| 617 |
+
" 12% 940/7609 [00:03<00:21, 305.39it/s]\u001b[A\n",
|
| 618 |
+
" 13% 971/7609 [00:04<00:21, 306.39it/s]\u001b[A\n",
|
| 619 |
+
" 13% 1003/7609 [00:04<00:21, 308.09it/s]\u001b[A\n",
|
| 620 |
+
" 14% 1036/7609 [00:04<00:20, 313.79it/s]\u001b[A\n",
|
| 621 |
+
" 14% 1068/7609 [00:04<00:20, 314.74it/s]\u001b[A\n",
|
| 622 |
+
" 14% 1100/7609 [00:04<00:22, 288.69it/s]\u001b[A\n",
|
| 623 |
+
" 15% 1130/7609 [00:04<00:22, 283.51it/s]\u001b[A\n",
|
| 624 |
+
" 15% 1159/7609 [00:04<00:23, 275.71it/s]\u001b[A\n",
|
| 625 |
+
" 16% 1187/7609 [00:04<00:23, 270.13it/s]\u001b[A\n",
|
| 626 |
+
" 16% 1219/7609 [00:04<00:22, 284.03it/s]\u001b[A\n",
|
| 627 |
+
" 16% 1249/7609 [00:05<00:22, 288.00it/s]\u001b[A\n",
|
| 628 |
+
" 17% 1282/7609 [00:05<00:21, 299.12it/s]\u001b[A\n",
|
| 629 |
+
" 17% 1313/7609 [00:05<00:20, 301.98it/s]\u001b[A\n",
|
| 630 |
+
" 18% 1344/7609 [00:05<00:20, 300.23it/s]\u001b[A\n",
|
| 631 |
+
" 18% 1375/7609 [00:05<00:20, 298.52it/s]\u001b[A\n",
|
| 632 |
+
" 18% 1405/7609 [00:05<00:24, 250.07it/s]\u001b[A\n",
|
| 633 |
+
" 19% 1434/7609 [00:05<00:23, 258.63it/s]\u001b[A\n",
|
| 634 |
+
" 19% 1461/7609 [00:05<00:24, 254.66it/s]\u001b[A\n",
|
| 635 |
+
" 20% 1488/7609 [00:05<00:25, 238.54it/s]\u001b[A\n",
|
| 636 |
+
" 20% 1517/7609 [00:06<00:24, 248.67it/s]\u001b[A\n",
|
| 637 |
+
" 20% 1543/7609 [00:06<00:24, 249.56it/s]\u001b[A\n",
|
| 638 |
+
" 21% 1575/7609 [00:06<00:22, 267.06it/s]\u001b[A\n",
|
| 639 |
+
" 21% 1603/7609 [00:06<00:23, 252.92it/s]\u001b[A\n",
|
| 640 |
+
" 21% 1629/7609 [00:06<00:23, 253.28it/s]\u001b[A\n",
|
| 641 |
+
" 22% 1655/7609 [00:06<00:25, 237.38it/s]\u001b[A\n",
|
| 642 |
+
" 22% 1683/7609 [00:06<00:23, 246.97it/s]\u001b[A\n",
|
| 643 |
+
" 22% 1709/7609 [00:06<00:23, 248.09it/s]\u001b[A\n",
|
| 644 |
+
" 23% 1741/7609 [00:06<00:22, 266.58it/s]\u001b[A\n",
|
| 645 |
+
" 23% 1768/7609 [00:07<00:23, 253.74it/s]\u001b[A\n",
|
| 646 |
+
" 24% 1794/7609 [00:07<00:23, 251.59it/s]\u001b[A\n",
|
| 647 |
+
" 24% 1823/7609 [00:07<00:22, 255.77it/s]\u001b[A\n",
|
| 648 |
+
" 24% 1849/7609 [00:07<00:22, 253.87it/s]\u001b[A\n",
|
| 649 |
+
" 25% 1879/7609 [00:07<00:21, 262.85it/s]\u001b[A\n",
|
| 650 |
+
" 25% 1906/7609 [00:07<00:22, 251.41it/s]\u001b[A\n",
|
| 651 |
+
" 25% 1932/7609 [00:07<00:22, 253.44it/s]\u001b[A\n",
|
| 652 |
+
" 26% 1958/7609 [00:07<00:23, 243.18it/s]\u001b[A\n",
|
| 653 |
+
" 26% 1983/7609 [00:07<00:25, 217.06it/s]\u001b[A\n",
|
| 654 |
+
" 26% 2006/7609 [00:08<00:28, 195.02it/s]\u001b[A\n",
|
| 655 |
+
" 27% 2027/7609 [00:08<00:33, 168.09it/s]\u001b[A\n",
|
| 656 |
+
" 27% 2049/7609 [00:08<00:30, 179.97it/s]\u001b[A\n",
|
| 657 |
+
" 27% 2069/7609 [00:08<00:31, 175.25it/s]\u001b[A\n",
|
| 658 |
+
" 27% 2088/7609 [00:08<00:41, 132.97it/s]\u001b[A\n",
|
| 659 |
+
" 28% 2104/7609 [00:08<00:44, 122.73it/s]\u001b[A\n",
|
| 660 |
+
" 28% 2136/7609 [00:08<00:33, 164.02it/s]\u001b[A\n",
|
| 661 |
+
" 29% 2170/7609 [00:09<00:26, 203.87it/s]\u001b[A\n",
|
| 662 |
+
" 29% 2194/7609 [00:09<00:25, 211.26it/s]\u001b[A\n",
|
| 663 |
+
" 29% 2218/7609 [00:09<00:24, 218.07it/s]\u001b[A\n",
|
| 664 |
+
" 29% 2244/7609 [00:09<00:23, 228.15it/s]\u001b[A\n",
|
| 665 |
+
" 30% 2270/7609 [00:09<00:22, 235.60it/s]\u001b[A\n",
|
| 666 |
+
" 30% 2301/7609 [00:09<00:20, 254.68it/s]\u001b[A\n",
|
| 667 |
+
" 31% 2329/7609 [00:09<00:20, 260.56it/s]\u001b[A\n",
|
| 668 |
+
" 31% 2363/7609 [00:09<00:18, 281.33it/s]\u001b[A\n",
|
| 669 |
+
" 31% 2395/7609 [00:09<00:17, 291.27it/s]\u001b[A\n",
|
| 670 |
+
" 32% 2429/7609 [00:10<00:17, 303.90it/s]\u001b[A\n",
|
| 671 |
+
" 32% 2460/7609 [00:10<00:17, 289.95it/s]\u001b[A\n",
|
| 672 |
+
" 33% 2490/7609 [00:10<00:19, 267.73it/s]\u001b[A\n",
|
| 673 |
+
" 33% 2523/7609 [00:10<00:17, 283.94it/s]\u001b[A\n",
|
| 674 |
+
" 34% 2553/7609 [00:10<00:17, 286.19it/s]\u001b[A\n",
|
| 675 |
+
" 34% 2582/7609 [00:10<00:17, 281.98it/s]\u001b[A\n",
|
| 676 |
+
" 34% 2611/7609 [00:10<00:18, 265.35it/s]\u001b[A\n",
|
| 677 |
+
" 35% 2639/7609 [00:10<00:18, 268.49it/s]\u001b[A\n",
|
| 678 |
+
" 35% 2671/7609 [00:10<00:17, 280.79it/s]\u001b[A\n",
|
| 679 |
+
" 36% 2702/7609 [00:11<00:17, 288.04it/s]\u001b[A\n",
|
| 680 |
+
" 36% 2732/7609 [00:11<00:16, 290.66it/s]\u001b[A\n",
|
| 681 |
+
" 36% 2762/7609 [00:11<00:17, 284.93it/s]\u001b[A\n",
|
| 682 |
+
" 37% 2795/7609 [00:11<00:16, 297.24it/s]\u001b[A\n",
|
| 683 |
+
" 37% 2825/7609 [00:11<00:16, 297.64it/s]\u001b[A\n",
|
| 684 |
+
" 38% 2855/7609 [00:11<00:16, 289.95it/s]\u001b[A\n",
|
| 685 |
+
" 38% 2886/7609 [00:11<00:16, 292.29it/s]\u001b[A\n",
|
| 686 |
+
" 38% 2916/7609 [00:11<00:15, 293.43it/s]\u001b[A\n",
|
| 687 |
+
" 39% 2947/7609 [00:11<00:15, 296.51it/s]\u001b[A\n",
|
| 688 |
+
" 39% 2977/7609 [00:11<00:16, 285.57it/s]\u001b[A\n",
|
| 689 |
+
" 40% 3006/7609 [00:12<00:20, 225.91it/s]\u001b[A\n",
|
| 690 |
+
" 40% 3031/7609 [00:12<00:23, 196.79it/s]\u001b[A\n",
|
| 691 |
+
" 40% 3053/7609 [00:12<00:23, 192.50it/s]\u001b[A\n",
|
| 692 |
+
" 40% 3074/7609 [00:12<00:24, 186.74it/s]\u001b[A\n",
|
| 693 |
+
" 41% 3094/7609 [00:12<00:26, 169.89it/s]\u001b[A\n",
|
| 694 |
+
" 41% 3112/7609 [00:12<00:27, 162.10it/s]\u001b[A\n",
|
| 695 |
+
" 41% 3129/7609 [00:12<00:28, 156.46it/s]\u001b[A\n",
|
| 696 |
+
" 41% 3146/7609 [00:13<00:28, 158.18it/s]\u001b[A\n",
|
| 697 |
+
" 42% 3164/7609 [00:13<00:27, 163.03it/s]\u001b[A\n",
|
| 698 |
+
" 42% 3181/7609 [00:13<00:29, 148.02it/s]\u001b[A\n",
|
| 699 |
+
" 42% 3197/7609 [00:13<00:31, 138.03it/s]\u001b[A\n",
|
| 700 |
+
" 42% 3213/7609 [00:13<00:30, 142.24it/s]\u001b[A\n",
|
| 701 |
+
" 42% 3228/7609 [00:13<00:32, 135.79it/s]\u001b[A\n",
|
| 702 |
+
" 43% 3247/7609 [00:13<00:29, 148.69it/s]\u001b[A\n",
|
| 703 |
+
" 43% 3263/7609 [00:13<00:28, 150.77it/s]\u001b[A\n",
|
| 704 |
+
" 43% 3279/7609 [00:13<00:28, 150.85it/s]\u001b[A\n",
|
| 705 |
+
" 43% 3298/7609 [00:14<00:27, 159.49it/s]\u001b[A\n",
|
| 706 |
+
" 44% 3316/7609 [00:14<00:26, 163.96it/s]\u001b[A\n",
|
| 707 |
+
" 44% 3333/7609 [00:14<00:28, 148.56it/s]\u001b[A\n",
|
| 708 |
+
" 44% 3349/7609 [00:14<00:28, 151.24it/s]\u001b[A\n",
|
| 709 |
+
" 44% 3368/7609 [00:14<00:26, 161.74it/s]\u001b[A\n",
|
| 710 |
+
" 45% 3388/7609 [00:14<00:24, 170.84it/s]\u001b[A\n",
|
| 711 |
+
" 45% 3406/7609 [00:14<00:24, 172.08it/s]\u001b[A\n",
|
| 712 |
+
" 45% 3424/7609 [00:14<00:24, 170.93it/s]\u001b[A\n",
|
| 713 |
+
" 45% 3444/7609 [00:14<00:23, 176.91it/s]\u001b[A\n",
|
| 714 |
+
" 46% 3464/7609 [00:15<00:22, 183.10it/s]\u001b[A\n",
|
| 715 |
+
" 46% 3484/7609 [00:15<00:22, 185.87it/s]\u001b[A\n",
|
| 716 |
+
" 46% 3505/7609 [00:15<00:21, 191.49it/s]\u001b[A\n",
|
| 717 |
+
" 46% 3525/7609 [00:15<00:21, 189.64it/s]\u001b[A\n",
|
| 718 |
+
" 47% 3545/7609 [00:15<00:22, 177.47it/s]\u001b[A\n",
|
| 719 |
+
" 47% 3564/7609 [00:15<00:22, 180.37it/s]\u001b[A\n",
|
| 720 |
+
" 47% 3584/7609 [00:15<00:21, 183.68it/s]\u001b[A\n",
|
| 721 |
+
" 47% 3603/7609 [00:15<00:23, 166.99it/s]\u001b[A\n",
|
| 722 |
+
" 48% 3621/7609 [00:15<00:24, 163.33it/s]\u001b[A\n",
|
| 723 |
+
" 48% 3638/7609 [00:16<00:24, 160.40it/s]\u001b[A\n",
|
| 724 |
+
" 48% 3659/7609 [00:16<00:22, 172.66it/s]\u001b[A\n",
|
| 725 |
+
" 49% 3691/7609 [00:16<00:18, 212.19it/s]\u001b[A\n",
|
| 726 |
+
" 49% 3722/7609 [00:16<00:16, 237.97it/s]\u001b[A\n",
|
| 727 |
+
" 49% 3755/7609 [00:16<00:14, 262.59it/s]\u001b[A\n",
|
| 728 |
+
" 50% 3782/7609 [00:16<00:14, 261.90it/s]\u001b[A\n",
|
| 729 |
+
" 50% 3810/7609 [00:16<00:14, 265.74it/s]\u001b[A\n",
|
| 730 |
+
" 51% 3847/7609 [00:16<00:12, 294.39it/s]\u001b[A\n",
|
| 731 |
+
" 51% 3877/7609 [00:16<00:12, 294.43it/s]\u001b[A\n",
|
| 732 |
+
" 51% 3912/7609 [00:16<00:11, 309.91it/s]\u001b[A\n",
|
| 733 |
+
" 52% 3946/7609 [00:17<00:11, 318.01it/s]\u001b[A\n",
|
| 734 |
+
" 52% 3978/7609 [00:17<00:11, 303.10it/s]\u001b[A\n",
|
| 735 |
+
" 53% 4010/7609 [00:17<00:11, 305.08it/s]\u001b[A\n",
|
| 736 |
+
" 53% 4041/7609 [00:17<00:11, 304.66it/s]\u001b[A\n",
|
| 737 |
+
" 54% 4072/7609 [00:17<00:12, 287.62it/s]\u001b[A\n",
|
| 738 |
+
" 54% 4102/7609 [00:17<00:13, 262.87it/s]\u001b[A\n",
|
| 739 |
+
" 54% 4130/7609 [00:17<00:13, 267.01it/s]\u001b[A\n",
|
| 740 |
+
" 55% 4160/7609 [00:17<00:12, 275.11it/s]\u001b[A\n",
|
| 741 |
+
" 55% 4188/7609 [00:17<00:12, 275.05it/s]\u001b[A\n",
|
| 742 |
+
" 55% 4216/7609 [00:18<00:12, 274.27it/s]\u001b[A\n",
|
| 743 |
+
" 56% 4246/7609 [00:18<00:12, 278.88it/s]\u001b[A\n",
|
| 744 |
+
" 56% 4278/7609 [00:18<00:11, 290.37it/s]\u001b[A\n",
|
| 745 |
+
" 57% 4311/7609 [00:18<00:11, 299.60it/s]\u001b[A\n",
|
| 746 |
+
" 57% 4344/7609 [00:18<00:10, 305.95it/s]\u001b[A\n",
|
| 747 |
+
" 58% 4376/7609 [00:18<00:10, 308.56it/s]\u001b[A\n",
|
| 748 |
+
" 58% 4409/7609 [00:18<00:10, 312.28it/s]\u001b[A\n",
|
| 749 |
+
" 58% 4441/7609 [00:18<00:10, 299.20it/s]\u001b[A\n",
|
| 750 |
+
" 59% 4473/7609 [00:18<00:10, 303.12it/s]\u001b[A\n",
|
| 751 |
+
" 59% 4507/7609 [00:19<00:09, 312.51it/s]\u001b[A\n",
|
| 752 |
+
" 60% 4539/7609 [00:19<00:10, 280.99it/s]\u001b[A\n",
|
| 753 |
+
" 60% 4572/7609 [00:19<00:10, 292.89it/s]\u001b[A\n",
|
| 754 |
+
" 60% 4603/7609 [00:19<00:10, 297.20it/s]\u001b[A\n",
|
| 755 |
+
" 61% 4635/7609 [00:19<00:09, 302.90it/s]\u001b[A\n",
|
| 756 |
+
" 61% 4668/7609 [00:19<00:09, 308.96it/s]\u001b[A\n",
|
| 757 |
+
" 62% 4701/7609 [00:19<00:09, 315.05it/s]\u001b[A\n",
|
| 758 |
+
" 62% 4735/7609 [00:19<00:08, 322.22it/s]\u001b[A\n",
|
| 759 |
+
" 63% 4768/7609 [00:19<00:08, 316.34it/s]\u001b[A\n",
|
| 760 |
+
" 63% 4800/7609 [00:19<00:09, 290.19it/s]\u001b[A\n",
|
| 761 |
+
" 64% 4832/7609 [00:20<00:09, 297.73it/s]\u001b[A\n",
|
| 762 |
+
" 64% 4863/7609 [00:20<00:09, 296.36it/s]\u001b[A\n",
|
| 763 |
+
" 64% 4895/7609 [00:20<00:08, 302.81it/s]\u001b[A\n",
|
| 764 |
+
" 65% 4926/7609 [00:20<00:08, 301.93it/s]\u001b[A\n",
|
| 765 |
+
" 65% 4957/7609 [00:20<00:09, 282.39it/s]\u001b[A\n",
|
| 766 |
+
" 66% 4990/7609 [00:20<00:08, 295.33it/s]\u001b[A\n",
|
| 767 |
+
" 66% 5022/7609 [00:20<00:08, 301.40it/s]\u001b[A\n",
|
| 768 |
+
" 66% 5055/7609 [00:20<00:08, 308.96it/s]\u001b[A\n",
|
| 769 |
+
" 67% 5087/7609 [00:20<00:08, 303.63it/s]\u001b[A\n",
|
| 770 |
+
" 67% 5120/7609 [00:21<00:08, 309.00it/s]\u001b[A\n",
|
| 771 |
+
" 68% 5152/7609 [00:21<00:08, 304.81it/s]\u001b[A\n",
|
| 772 |
+
" 68% 5184/7609 [00:21<00:07, 307.53it/s]\u001b[A\n",
|
| 773 |
+
" 69% 5219/7609 [00:21<00:07, 318.71it/s]\u001b[A\n",
|
| 774 |
+
" 69% 5253/7609 [00:21<00:07, 323.27it/s]\u001b[A\n",
|
| 775 |
+
" 69% 5288/7609 [00:21<00:07, 330.41it/s]\u001b[A\n",
|
| 776 |
+
" 70% 5323/7609 [00:21<00:06, 334.92it/s]\u001b[A\n",
|
| 777 |
+
" 70% 5358/7609 [00:21<00:06, 336.91it/s]\u001b[A\n",
|
| 778 |
+
" 71% 5392/7609 [00:21<00:06, 327.19it/s]\u001b[A\n",
|
| 779 |
+
" 71% 5425/7609 [00:21<00:06, 315.70it/s]\u001b[A\n",
|
| 780 |
+
" 72% 5457/7609 [00:22<00:06, 314.59it/s]\u001b[A\n",
|
| 781 |
+
" 72% 5489/7609 [00:22<00:06, 313.63it/s]\u001b[A\n",
|
| 782 |
+
" 73% 5522/7609 [00:22<00:06, 317.64it/s]\u001b[A\n",
|
| 783 |
+
" 73% 5554/7609 [00:22<00:06, 312.75it/s]\u001b[A\n",
|
| 784 |
+
" 73% 5586/7609 [00:22<00:06, 314.14it/s]\u001b[A\n",
|
| 785 |
+
" 74% 5619/7609 [00:22<00:06, 317.95it/s]\u001b[A\n",
|
| 786 |
+
" 74% 5651/7609 [00:22<00:06, 294.98it/s]\u001b[A\n",
|
| 787 |
+
" 75% 5683/7609 [00:22<00:06, 300.49it/s]\u001b[A\n",
|
| 788 |
+
" 75% 5716/7609 [00:22<00:06, 307.75it/s]\u001b[A\n",
|
| 789 |
+
" 76% 5747/7609 [00:23<00:06, 297.03it/s]\u001b[A\n",
|
| 790 |
+
" 76% 5781/7609 [00:23<00:05, 308.96it/s]\u001b[A\n",
|
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"06/01/2023 22:22:13 - INFO - utils_qa - Saving predictions to eval_results/predict_predictions.json.\n",
|
| 865 |
+
"06/01/2023 22:22:13 - INFO - utils_qa - Saving nbest_preds to eval_results/predict_nbest_predictions.json.\n",
|
| 866 |
+
"***** predict metrics *****\n",
|
| 867 |
+
" predict_samples = 8565\n",
|
| 868 |
+
" test_exact_match = 68.8001\n",
|
| 869 |
+
" test_f1 = 80.0818\n",
|
| 870 |
+
" test_runtime = 0:04:46.57\n",
|
| 871 |
+
" test_samples_per_second = 29.887\n",
|
| 872 |
+
" test_steps_per_second = 5.977\n",
|
| 873 |
+
"[INFO|modelcard.py:451] 2023-06-01 22:22:16,979 >> Dropping the following result as it does not have all the necessary fields:\n",
|
| 874 |
+
"{'task': {'name': 'Question Answering', 'type': 'question-answering'}, 'dataset': {'name': 'squad_it', 'type': 'squad_it'}}\n",
|
| 875 |
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"100% 1713/1713 [05:29<00:00, 5.19it/s]\n"
|
| 876 |
+
]
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+
}
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| 878 |
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]
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| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"cell_type": "code",
|
| 882 |
+
"source": [],
|
| 883 |
+
"metadata": {
|
| 884 |
+
"id": "ij8YkY0xyNXI"
|
| 885 |
+
},
|
| 886 |
+
"execution_count": null,
|
| 887 |
+
"outputs": []
|
| 888 |
+
}
|
| 889 |
+
]
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| 890 |
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}
|