Model save
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README.md
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This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- F1 Macro: 0.
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- F1: 0.
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- F1 Neg: 0.
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- Acc: 0.
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- Prec: 0.
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- Recall: 0.
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- Mcc: 0.
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## Model description
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- distributed_type: multi-GPU
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0800
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- F1 Macro: 0.8789
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- F1: 0.9155
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- F1 Neg: 0.8423
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- Acc: 0.89
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- Prec: 0.9208
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- Recall: 0.9103
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- Mcc: 0.7580
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## Model description
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- distributed_type: multi-GPU
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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- mixed_precision_training: Native AMP
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### Training results
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runs/Mar12_14-10-53_tardis/events.out.tfevents.1710249785.tardis.125084.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3096aa1ea596e84486c109fc77c383d422eea2fa754f6f024599d6d98b84158
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size 699
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