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bert-base-uncased-jigsaw

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PyTorch
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bert
generated_from_trainer
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bert-base-uncased-jigsaw
File size: 1,452 Bytes 
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{
    "epoch": 5.0,
    "eval_accuracy_identity_hate": 0.9913520216941833,
    "eval_accuracy_insult": 0.9763121008872986,
    "eval_accuracy_obscene": 0.9816073775291443,
    "eval_accuracy_severe_toxic": 0.9898793697357178,
    "eval_accuracy_threat": 0.9973680377006531,
    "eval_accuracy_toxic": 0.9678207635879517,
    "eval_aucroc_macro": 0.9897471070289612,
    "eval_aucroc_micro": 0.9920395612716675,
    "eval_f1_identity_hate": 0.4479999840259552,
    "eval_f1_insult": 0.7662338018417358,
    "eval_f1_macro": 0.6105479001998901,
    "eval_f1_micro": 0.7807540893554688,
    "eval_f1_obscene": 0.8337581753730774,
    "eval_f1_severe_toxic": 0.3312629163265228,
    "eval_f1_threat": 0.45454540848731995,
    "eval_f1_toxic": 0.8294870257377625,
    "eval_f2_macro": 0.6015251874923706,
    "eval_f2_micro": 0.783759593963623,
    "eval_loss": 0.039291638880968094,
    "eval_matthews_corrcoef": 0.7724997401237488,
    "eval_overall_accuracy": 0.9840565919876099,
    "eval_overall_f1": 0.9840565919876099,
    "eval_overall_f2": 0.9840565919876099,
    "eval_overall_precision": 0.9840565919876099,
    "eval_overall_recall": 0.9840565919876099,
    "eval_precision_macro": 0.6348888278007507,
    "eval_precision_micro": 0.7757956385612488,
    "eval_recall_macro": 0.5971536636352539,
    "eval_recall_micro": 0.7857762575149536,
    "eval_runtime": 334.4401,
    "eval_samples_per_second": 95.428,
    "eval_steps_per_second": 7.954
}