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: 0.4325
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- F1 Macro: 0.9024
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- F1: 0.9318
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- F1 Neg: 0.8730
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- Acc: 0.9113
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- Prec: 0.9381
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- Recall: 0.9256
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- Mcc: 0.8049
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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_13-37-30_tardis/events.out.tfevents.1710074597.tardis.10823.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:5baa34f205293704ceec21b58db1f46a18c7c64dd82af2e74e5c2bb8a90787ba
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size 699
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