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: 0.
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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: 0.4580
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- F1 Macro: 0.9017
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- F1: 0.9323
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- F1 Neg: 0.8711
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- Acc: 0.9113
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- Prec: 0.9332
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- Recall: 0.9314
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- Mcc: 0.8035
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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: 5
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- mixed_precision_training: Native AMP
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### Training results
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runs/Mar10_13-56-36_tardis/events.out.tfevents.1710075653.tardis.10823.9
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a4d65a8da81149018d780039019f4966b36d01653515d17dcc5d1721c47ea8f
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size 699
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