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train_results.json
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{
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"config": {
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"model_name": "bert-base-uncased",
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"seed": 42,
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"normalize_labels": true,
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"nouns_only": true,
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"clean_words_only": true,
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"epochs": 8.0,
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"learning_rate": 2e-05,
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"train_batch_size": 64,
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"eval_batch_size": 128,
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"grad_accumulation": 1,
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"eval_size": 0.1
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},
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"data_size_total": 4196,
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"data_size_train": 3776,
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"data_size_eval": 420,
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"final_model_dir": "outputs/mrc_bert_full_eval10/final_model",
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"eval_metrics": {
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"eval_loss": 0.008318813517689705,
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"eval_mae": 40.69350791828973,
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"eval_rmse": 54.724519092881394,
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"eval_pearson": 0.8696628446003037,
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"eval_runtime": 0.4034,
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"eval_samples_per_second": 1041.075,
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"eval_steps_per_second": 9.915,
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"epoch": 8.0
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}
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}
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