07/13/2022 17:32:26 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: False
07/13/2022 17:32:26 - INFO - __main__ - Training/evaluation parameters TrainingArguments(
_n_gpu=1,
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
auto_find_batch_size=False,
bf16=False,
bf16_full_eval=False,
data_seed=None,
dataloader_drop_last=False,
dataloader_num_workers=0,
dataloader_pin_memory=True,
ddp_bucket_cap_mb=None,
ddp_find_unused_parameters=None,
debug=[],
deepspeed=None,
disable_tqdm=False,
do_eval=True,
do_predict=False,
do_train=True,
eval_accumulation_steps=None,
eval_delay=0,
eval_steps=None,
evaluation_strategy=IntervalStrategy.NO,
fp16=False,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
fsdp=[],
fsdp_min_num_params=0,
full_determinism=False,
gradient_accumulation_steps=1,
gradient_checkpointing=False,
greater_is_better=None,
group_by_length=False,
half_precision_backend=auto,
hub_model_id=None,
hub_private_repo=False,
hub_strategy=HubStrategy.EVERY_SAVE,
hub_token=<HUB_TOKEN>,
ignore_data_skip=False,
include_inputs_for_metrics=False,
jit_mode_eval=False,
label_names=None,
label_smoothing_factor=0.0,
learning_rate=3e-05,
length_column_name=length,
load_best_model_at_end=False,
local_rank=-1,
log_level=-1,
log_level_replica=-1,
log_on_each_node=True,
logging_dir=../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned/runs/Jul13_17-32-24_gpu5,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=500,
logging_strategy=IntervalStrategy.STEPS,
lr_scheduler_type=SchedulerType.LINEAR,
max_grad_norm=1.0,
max_steps=-1,
metric_for_best_model=None,
mp_parameters=,
no_cuda=False,
num_train_epochs=2.0,
optim=OptimizerNames.ADAMW_HF,
output_dir=../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned,
overwrite_output_dir=True,
past_index=-1,
per_device_eval_batch_size=2,
per_device_train_batch_size=2,
prediction_loss_only=False,
push_to_hub=False,
push_to_hub_model_id=None,
push_to_hub_organization=None,
push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
ray_scope=last,
remove_unused_columns=True,
report_to=[],
resume_from_checkpoint=None,
run_name=../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned,
save_on_each_node=False,
save_steps=100000,
save_strategy=IntervalStrategy.STEPS,
save_total_limit=None,
seed=42,
sharded_ddp=[],
skip_memory_metrics=True,
tf32=None,
torchdynamo=None,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_ipex=False,
use_legacy_prediction_loop=False,
warmup_ratio=0.0,
warmup_steps=0,
weight_decay=0.0,
xpu_backend=None,
)
07/13/2022 17:32:27 - INFO - datasets.builder - No config specified, defaulting to the single config: phrase_sense_disambiguation/PSD
07/13/2022 17:32:27 - INFO - datasets.builder - Overwrite dataset info from restored data version.
07/13/2022 17:32:27 - INFO - datasets.info - Loading Dataset info from /home/thang/.cache/huggingface/datasets/PiC___phrase_sense_disambiguation/PSD/1.0.0/b06fb909d3a87edce48db98df9113dfea60514936183b4d58e2fc89694cf0c0b
07/13/2022 17:32:27 - WARNING - datasets.builder - Reusing dataset phrase_sense_disambiguation (/home/thang/.cache/huggingface/datasets/PiC___phrase_sense_disambiguation/PSD/1.0.0/b06fb909d3a87edce48db98df9113dfea60514936183b4d58e2fc89694cf0c0b)
07/13/2022 17:32:27 - INFO - datasets.info - Loading Dataset info from /home/thang/.cache/huggingface/datasets/PiC___phrase_sense_disambiguation/PSD/1.0.0/b06fb909d3a87edce48db98df9113dfea60514936183b4d58e2fc89694cf0c0b

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[INFO|configuration_utils.py:657] 2022-07-13 17:32:27,065 >> loading configuration file ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned/config.json
[INFO|configuration_utils.py:708] 2022-07-13 17:32:27,073 >> Model config LongformerConfig {
  "_name_or_path": "../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned",
  "architectures": [
    "LongformerForQuestionAnswering"
  ],
  "attention_mode": "longformer",
  "attention_probs_dropout_prob": 0.1,
  "attention_window": [
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512
  ],
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "ignore_attention_mask": false,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 4098,
  "model_type": "longformer",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "sep_token_id": 2,
  "torch_dtype": "float32",
  "transformers_version": "4.20.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}

[INFO|tokenization_utils_base.py:1701] 2022-07-13 17:32:27,074 >> Didn't find file ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned/added_tokens.json. We won't load it.
[INFO|tokenization_utils_base.py:1779] 2022-07-13 17:32:27,074 >> loading file ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned/vocab.json
[INFO|tokenization_utils_base.py:1779] 2022-07-13 17:32:27,074 >> loading file ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned/merges.txt
[INFO|tokenization_utils_base.py:1779] 2022-07-13 17:32:27,074 >> loading file ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned/tokenizer.json
[INFO|tokenization_utils_base.py:1779] 2022-07-13 17:32:27,074 >> loading file None
[INFO|tokenization_utils_base.py:1779] 2022-07-13 17:32:27,074 >> loading file ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned/special_tokens_map.json
[INFO|tokenization_utils_base.py:1779] 2022-07-13 17:32:27,074 >> loading file ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned/tokenizer_config.json
[INFO|modeling_utils.py:2105] 2022-07-13 17:32:27,160 >> loading weights file ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned/pytorch_model.bin
[INFO|modeling_utils.py:2483] 2022-07-13 17:32:28,342 >> All model checkpoint weights were used when initializing LongformerForQuestionAnswering.

[INFO|modeling_utils.py:2491] 2022-07-13 17:32:28,343 >> All the weights of LongformerForQuestionAnswering were initialized from the model checkpoint at ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned.
If your task is similar to the task the model of the checkpoint was trained on, you can already use LongformerForQuestionAnswering for predictions without further training.
07/13/2022 17:32:28 - WARNING - datasets.fingerprint - Parameter 'function'=<function main.<locals>.prepare_train_features at 0x7f1ad548a280> of the transform datasets.arrow_dataset.Dataset._map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. This warning is only showed once. Subsequent hashing failures won't be showed.

Running tokenizer on train dataset:   0%|          | 0/2 [00:00<?, ?ba/s]07/13/2022 17:32:29 - INFO - datasets.arrow_dataset - Caching processed dataset at /home/thang/.cache/huggingface/datasets/PiC___phrase_sense_disambiguation/PSD/1.0.0/b06fb909d3a87edce48db98df9113dfea60514936183b4d58e2fc89694cf0c0b/cache-1c80317fa3b1799d.arrow

Running tokenizer on train dataset:  50%|█████     | 1/2 [00:01<00:01,  1.92s/ba]
Running tokenizer on train dataset: 100%|██████████| 2/2 [00:02<00:00,  1.40s/ba]
Running tokenizer on train dataset: 100%|██████████| 2/2 [00:02<00:00,  1.48s/ba]
07/13/2022 17:32:31 - INFO - datasets.fingerprint - Parameter 'function'=<function main.<locals>.prepare_validation_features at 0x7f1ad548a1f0> of the transform datasets.arrow_dataset.Dataset._map_single couldn't be hashed properly, a random hash was used instead.

Running tokenizer on validation dataset:   0%|          | 0/1 [00:00<?, ?ba/s]07/13/2022 17:32:31 - INFO - datasets.arrow_dataset - Caching processed dataset at /home/thang/.cache/huggingface/datasets/PiC___phrase_sense_disambiguation/PSD/1.0.0/b06fb909d3a87edce48db98df9113dfea60514936183b4d58e2fc89694cf0c0b/cache-bdd640fb06671ad1.arrow

Running tokenizer on validation dataset: 100%|██████████| 1/1 [00:10<00:00, 10.54s/ba]
Running tokenizer on validation dataset: 100%|██████████| 1/1 [00:10<00:00, 10.55s/ba]
/home/thang/Softwares/anaconda3/envs/pic_eval/lib/python3.9/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
  warnings.warn(
[INFO|trainer.py:1516] 2022-07-13 17:32:52,168 >> ***** Running training *****
[INFO|trainer.py:1517] 2022-07-13 17:32:52,168 >>   Num examples = 1650
[INFO|trainer.py:1518] 2022-07-13 17:32:52,168 >>   Num Epochs = 2
[INFO|trainer.py:1519] 2022-07-13 17:32:52,168 >>   Instantaneous batch size per device = 2
[INFO|trainer.py:1520] 2022-07-13 17:32:52,168 >>   Total train batch size (w. parallel, distributed & accumulation) = 2
[INFO|trainer.py:1521] 2022-07-13 17:32:52,168 >>   Gradient Accumulation steps = 1
[INFO|trainer.py:1522] 2022-07-13 17:32:52,168 >>   Total optimization steps = 1650

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{'loss': 1.2525, 'learning_rate': 2.090909090909091e-05, 'epoch': 0.61}

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{'loss': 1.0478, 'learning_rate': 1.1818181818181819e-05, 'epoch': 1.21}

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{'loss': 0.5, 'learning_rate': 2.7272727272727272e-06, 'epoch': 1.82}

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Training completed. Do not forget to share your model on huggingface.co/models =)



                                                   
{'train_runtime': 893.6642, 'train_samples_per_second': 3.693, 'train_steps_per_second': 1.846, 'train_loss': 0.9066677579012784, 'epoch': 2.0}

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[INFO|trainer.py:2503] 2022-07-13 17:47:45,833 >> Saving model checkpoint to ../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned
[INFO|configuration_utils.py:446] 2022-07-13 17:47:45,834 >> Configuration saved in ../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned/config.json
[INFO|modeling_utils.py:1660] 2022-07-13 17:47:46,557 >> Model weights saved in ../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned/pytorch_model.bin
[INFO|tokenization_utils_base.py:2123] 2022-07-13 17:47:46,558 >> tokenizer config file saved in ../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned/tokenizer_config.json
[INFO|tokenization_utils_base.py:2130] 2022-07-13 17:47:46,558 >> Special tokens file saved in ../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned/special_tokens_map.json
***** train metrics *****
  epoch                    =        2.0
  train_loss               =     0.9067
  train_runtime            = 0:14:53.66
  train_samples            =       1650
  train_samples_per_second =      3.693
  train_steps_per_second   =      1.846
07/13/2022 17:47:46 - INFO - __main__ - *** Evaluate ***
[INFO|trainer.py:661] 2022-07-13 17:47:46,637 >> The following columns in the evaluation set don't have a corresponding argument in `LongformerForQuestionAnswering.forward` and have been ignored: offset_mapping, example_id. If offset_mapping, example_id are not expected by `LongformerForQuestionAnswering.forward`,  you can safely ignore this message.
[INFO|trainer.py:2753] 2022-07-13 17:47:46,639 >> ***** Running Evaluation *****
[INFO|trainer.py:2755] 2022-07-13 17:47:46,639 >>   Num examples = 500
[INFO|trainer.py:2758] 2022-07-13 17:47:46,639 >>   Batch size = 2

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07/13/2022 17:48:25 - INFO - utils_qa - Saving predictions to ../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned/eval_predictions.json.
07/13/2022 17:48:25 - INFO - utils_qa - Saving nbest_preds to ../results/phrase_sense_disambiguation//qa/allenai/longformer-base-4096-20K-2K/finetuned/eval_nbest_predictions.json.
{'id': '6023-2', 'pred_text': ['better shot', 1652], 'answer_text': ['better shot', 629]}
{'id': '8163-1', 'pred_text': ['immediate background', 2883], 'answer_text': ['immediate background', 2396]}
{'id': '12419-2', 'pred_text': ['last bar', 1037], 'answer_text': ['last bar', 2105]}
{'id': '9645-1', 'pred_text': ['delivery model', 1141], 'answer_text': ['delivery model', 76]}
{'id': '8990-2', 'pred_text': ['fledgling system', 1900], 'answer_text': ['fledgling system', 540]}
{'id': '7224-2', 'pred_text': ['resting time', 956], 'answer_text': ['resting time', 83]}
{'id': '4424-2', 'pred_text': ['altered production', 905], 'answer_text': ['altered production', 2004]}
{'id': '4373-2', 'pred_text': ['clear dividing line', 1172], 'answer_text': ['clear dividing line', 87]}
{'id': '14667-2', 'pred_text': ['Take Care', 2009], 'answer_text': ['take care', 892]}
{'id': '3361-1', 'pred_text': ['official guardian', 2256], 'answer_text': ['official guardian', 467]}
{'id': '10998-2', 'pred_text': ['regular period', 552], 'answer_text': ['regular period', 1754]}
{'id': '11356-2', 'pred_text': ['single source', 2028], 'answer_text': ['single source', 354]}
{'id': '14613-2', 'pred_text': ['significant trail', 2017], 'answer_text': ['significant trail', 846]}
{'id': '3809-2', 'pred_text': ['physical performance', 2674], 'answer_text': ['physical performance', 908]}
{'id': '7192-1', 'pred_text': ['Local records', 479], 'answer_text': ['local records', 1704]}
{'id': '4044-1', 'pred_text': ['live nights', 1740], 'answer_text': ['live nights', 976]}
{'id': '1206-1', 'pred_text': ['desired piece', 968], 'answer_text': ['desired piece', 2355]}
{'id': '2812-2', 'pred_text': ['good links', 1360], 'answer_text': ['good links', 1427]}
{'id': '9940-2', 'pred_text': ['former shape', 1637], 'answer_text': ['former shape', 4]}
{'id': '3743-1', 'pred_text': ['homecoming ceremony', 1548], 'answer_text': ['homecoming ceremony', 378]}
{'id': '11072-2', 'pred_text': ['secondary concern', 900], 'answer_text': ['secondary concern', 855]}
{'id': '317-2', 'pred_text': ['death party', 839], 'answer_text': ['death party', 927]}
{'id': '8244-2', 'pred_text': ['processing station', 1713], 'answer_text': ['processing station', 865]}
{'id': '3992-1', 'pred_text': ['consistent exercise', 1155], 'answer_text': ['consistent exercise', 2897]}
{'id': '14530-2', 'pred_text': ['fluid movement', 2195], 'answer_text': ['fluid movement', 1045]}
{'id': '2530-2', 'pred_text': ['varying nature', 1514], 'answer_text': ['varying nature', 3187]}
{'id': '365-2', 'pred_text': ['long thread', 170], 'answer_text': ['long thread', 800]}
{'id': '7823-2', 'pred_text': ['similar matter', 1633], 'answer_text': ['similar matter', 619]}
{'id': '8523-2', 'pred_text': ['ideal unit', 1091], 'answer_text': ['ideal unit', 2965]}
{'id': '8463-1', 'pred_text': ['two shoulder', 657], 'answer_text': ['two shoulder', 175]}
{'id': '624-2', 'pred_text': ['golden rule', 1148], 'answer_text': ['golden rule', 1623]}
{'id': '5541-2', 'pred_text': ['next unit', 1224], 'answer_text': ['next unit', 2326]}
{'id': '12425-2', 'pred_text': ['local circuit', 374], 'answer_text': ['local circuit', 724]}
{'id': '8848-1', 'pred_text': ['current subject', 1301], 'answer_text': ['current subject', 142]}
{'id': '12563-2', 'pred_text': ['Modern point', 621], 'answer_text': ['modern point', 173]}
{'id': '2905-2', 'pred_text': ['sufficient capacity', 1206], 'answer_text': ['sufficient capacity', 2252]}
{'id': '12791-2', 'pred_text': ['teaching practice', 1910], 'answer_text': ['teaching practice', 1018]}
{'id': '12746-2', 'pred_text': ['initial activity', 665], 'answer_text': ['initial activity', 2102]}
{'id': '11557-2', 'pred_text': ['ideal figure', 808], 'answer_text': ['ideal figure', 2473]}
{'id': '11151-2', 'pred_text': ['available program', 3121], 'answer_text': ['available program', 1331]}
{'id': '9956-2', 'pred_text': ['specific connection', 446], 'answer_text': ['specific connection', 1386]}
{'id': '14349-2', 'pred_text': ['clear drop', 2338], 'answer_text': ['clear drop', 910]}
{'id': '3744-1', 'pred_text': ['main selection', 2102], 'answer_text': ['main selection', 1089]}
{'id': '2997-1', 'pred_text': ['landmark point', 1710], 'answer_text': ['landmark point', 1587]}
{'id': '8213-1', 'pred_text': ['food dish', 200], 'answer_text': ['food dish', 1168]}
{'id': '3465-1', 'pred_text': ['random time', 2739], 'answer_text': ['random time', 860]}
{'id': '14275-1', 'pred_text': ['warning signal', 273], 'answer_text': ['warning signal', 1686]}
{'id': '14354-2', 'pred_text': ['absolute gift', 1612], 'answer_text': ['absolute gift', 537]}
{'id': '417-1', 'pred_text': ['significant gap', 2024], 'answer_text': ['significant gap', 502]}
{'id': '9599-1', 'pred_text': ['large beam', 217], 'answer_text': ['large beam', 1605]}
{'id': '389-1', 'pred_text': ['last bit', 1661], 'answer_text': ['last bit', 2711]}
{'id': '14541-1', 'pred_text': ['single sentence', 1135], 'answer_text': ['single sentence', 1994]}
{'id': '433-1', 'pred_text': ['actual activity', 1141], 'answer_text': ['actual activity', 1482]}
{'id': '9215-1', 'pred_text': ['site visits', 830], 'answer_text': ['site visits', 2745]}
{'id': '3397-1', 'pred_text': ['certain condition', 1499], 'answer_text': ['certain condition', 356]}
{'id': '4230-1', 'pred_text': ['common program', 259], 'answer_text': ['common program', 880]}
{'id': '12144-1', 'pred_text': ['specialised nature', 2122], 'answer_text': ['specialised nature', 667]}
{'id': '8108-1', 'pred_text': ['whole scene', 775], 'answer_text': ['whole scene', 2020]}
{'id': '14196-1', 'pred_text': ['previous host', 114], 'answer_text': ['previous host', 1157]}
{'id': '6825-1', 'pred_text': ['broader market', 413], 'answer_text': ['broader market', 2084]}
{'id': '14263-1', 'pred_text': ['unusual variation', 1780], 'answer_text': ['unusual variation', 198]}
{'id': '3812-2', 'pred_text': ['predictable course', 954], 'answer_text': ['predictable course', 25]}
{'id': '6694-1', 'pred_text': ['long stage', 936], 'answer_text': ['long stage', 2445]}
{'id': '6971-2', 'pred_text': ['Heritage groups', 2628], 'answer_text': ['heritage groups', 963]}
{'id': '6556-2', 'pred_text': ['stop signal', 1518], 'answer_text': ['stop signal', 2830]}
{'id': '14914-2', 'pred_text': ['negative state', 1744], 'answer_text': ['negative state', 582]}
{'id': '8011-1', 'pred_text': ['whole parts', 1552], 'answer_text': ['whole parts', 456]}
{'id': '8133-1', 'pred_text': ['fixed meeting place', 1471], 'answer_text': ['fixed meeting place', 302]}
{'id': '489-1', 'pred_text': ['particular bond', 1895], 'answer_text': ['particular bond', 145]}
{'id': '12467-2', 'pred_text': ['another bar', 1450], 'answer_text': ['another bar', 145]}
{'id': '6880-2', 'pred_text': ['full round', 639], 'answer_text': ['full round', 1558]}
{'id': '7837-1', 'pred_text': ['first component', 2421], 'answer_text': ['first component', 675]}
{'id': '12461-1', 'pred_text': ['personal identification', 1773], 'answer_text': ['personal identification', 400]}
{'id': '3220-1', 'pred_text': ['even empty shells', 533], 'answer_text': ['even empty shells', 2129]}
{'id': '10059-1', 'pred_text': ['quick passing', 305], 'answer_text': ['quick passing', 1515]}
{'id': '12579-1', 'pred_text': ['founder group', 1101], 'answer_text': ['founder group', 198]}
{'id': '9628-1', 'pred_text': ['higher place', 899], 'answer_text': ['higher place', 2165]}
{'id': '14234-1', 'pred_text': ['lower extension', 820], 'answer_text': ['lower extension', 2287]}
{'id': '8766-1', 'pred_text': ['released material', 1538], 'answer_text': ['released material', 69]}
{'id': '4463-2', 'pred_text': ['second view', 1834], 'answer_text': ['second view', 422]}
{'id': '6572-1', 'pred_text': ['whole trouble', 1446], 'answer_text': ['whole trouble', 591]}
{'id': '4865-1', 'pred_text': ['main class', 1405], 'answer_text': ['main class', 472]}
{'id': '572-2', 'pred_text': ['house members', 446], 'answer_text': ['house members', 1083]}
{'id': '11612-2', 'pred_text': ['general limitation', 2667], 'answer_text': ['general limitation', 1221]}
{'id': '6030-2', 'pred_text': ['drum design', 2295], 'answer_text': ['drum design', 1275]}
{'id': '1018-2', 'pred_text': ['regular period', 804], 'answer_text': ['regular period', 1830]}
{'id': '6715-2', 'pred_text': ['normal action', 1192], 'answer_text': ['normal action', 2662]}
{'id': '559-1', 'pred_text': ['little return', 941], 'answer_text': ['little return', 2466]}
{'id': '14612-1', 'pred_text': ['external defense', 1552], 'answer_text': ['external defense', 100]}
{'id': '9494-2', 'pred_text': ['fourth line', 1661], 'answer_text': ['fourth line', 1416]}
{'id': '14473-2', 'pred_text': ['strict manner', 1096], 'answer_text': ['strict manner', 2658]}
{'id': '9272-2', 'pred_text': ['increasing wave', 1630], 'answer_text': ['increasing wave', 248]}
{'id': '3706-1', 'pred_text': ['consistent pattern', 2533], 'answer_text': ['consistent pattern', 794]}
{'id': '12195-2', 'pred_text': ['exact time period', 285], 'answer_text': ['exact time period', 1606]}
{'id': '14549-2', 'pred_text': ['value conflicts', 1458], 'answer_text': ['value conflicts', 403]}
{'id': '12692-1', 'pred_text': ['property laws', 2134], 'answer_text': ['property laws', 824]}
{'id': '8795-1', 'pred_text': ['lengthy set', 159], 'answer_text': ['lengthy set', 989]}
{'id': '11831-2', 'pred_text': ['following wave', 585], 'answer_text': ['following wave', 1861]}
{'id': '2544-1', 'pred_text': ['local action', 2955], 'answer_text': ['local action', 1452]}
{'id': '12817-1', 'pred_text': ['building houses', 2464], 'answer_text': ['building houses', 130]}
{'id': '2139-2', 'pred_text': ['right version', 541], 'answer_text': ['right version', 1638]}
{'id': '9705-1', 'pred_text': ['important spot', 226], 'answer_text': ['important spot', 1510]}
{'id': '8930-1', 'pred_text': ['extra help', 216], 'answer_text': ['extra help', 1244]}
{'id': '7051-1', 'pred_text': ['main vehicle', 3094], 'answer_text': ['main vehicle', 1223]}
{'id': '14361-2', 'pred_text': ['cheap way', 1941], 'answer_text': ['cheap way', 964]}
{'id': '6399-2', 'pred_text': ['planned home', 1522], 'answer_text': ['planned home', 646]}
{'id': '3204-2', 'pred_text': ['Another address', 204], 'answer_text': ['another address', 1013]}
{'id': '186-2', 'pred_text': ['Official surveys', 160], 'answer_text': ['official surveys', 1902]}
{'id': '6613-1', 'pred_text': ['universal manner', 1108], 'answer_text': ['universal manner', 2934]}
{'id': '5290-1', 'pred_text': ['official limits', 1614], 'answer_text': ['official limits', 319]}
{'id': '11627-2', 'pred_text': ['major stature', 1203], 'answer_text': ['major stature', 2614]}
{'id': '9879-2', 'pred_text': ['former charge', 843], 'answer_text': ['former charge', 1650]}
{'id': '11071-2', 'pred_text': ['secondary concern', 2122], 'answer_text': ['secondary concern', 348]}
{'id': '4491-1', 'pred_text': ['sudden collapse', 1088], 'answer_text': ['sudden collapse', 2620]}
{'id': '8317-1', 'pred_text': ['licence area', 62], 'answer_text': ['licence area', 435]}
{'id': '10223-1', 'pred_text': ['long sleep', 417], 'answer_text': ['long sleep', 129]}
{'id': '7589-2', 'pred_text': ['1 credit', 1205], 'answer_text': ['1 credit', 0]}
{'id': '7782-2', 'pred_text': ['either year', 516], 'answer_text': ['either year', 1464]}
{'id': '3730-1', 'pred_text': ['complete protection', 89], 'answer_text': ['complete protection', 1329]}
{'id': '8515-2', 'pred_text': ['significant foundation', 1445], 'answer_text': ['significant foundation', 317]}
{'id': '11232-1', 'pred_text': ['similar notice', 1355], 'answer_text': ['similar notice', 48]}
{'id': '8516-2', 'pred_text': ['empty position', 1534], 'answer_text': ['empty position', 359]}
{'id': '4395-2', 'pred_text': ['larger body', 1999], 'answer_text': ['larger body', 604]}
{'id': '6809-2', 'pred_text': ['good links', 734], 'answer_text': ['good links', 1506]}
{'id': '8715-2', 'pred_text': ['entire test', 815], 'answer_text': ['entire test', 1892]}
{'id': '9554-2', 'pred_text': ['construction stage', 2163], 'answer_text': ['construction stage', 776]}
Computed results: {'exact_match': 94.6, 'exact_match_with_index': 69.39999999999999, 'f1': 95.59, 'f1_with_index': 69.43}
07/13/2022 17:48:25 - INFO - datasets.metric - Removing /home/thang/.cache/huggingface/metrics/squad/default/default_experiment-1-0.arrow
Reference results: {'exact_match': 94.6, 'f1': 95.592}

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***** eval metrics *****
  epoch            =   2.0
  eval_exact_match =  69.4
  eval_f1          = 69.43
  eval_samples     =   500
[INFO|modelcard.py:460] 2022-07-13 17:48:25,885 >> Dropping the following result as it does not have all the necessary fields:
{'task': {'name': 'Question Answering', 'type': 'question-answering'}, 'dataset': {'name': 'PiC/phrase_sense_disambiguation ', 'type': 'PiC/phrase_sense_disambiguation', 'args': ''}}