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 the None 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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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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### Framework versions
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3768
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- F1 Macro: 0.9039
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- F1: 0.9366
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- F1 Neg: 0.8712
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- Acc: 0.915
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- Prec: 0.9401
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- Recall: 0.9331
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- Mcc: 0.8078
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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| 0.5449 | 1.0 | 947 | 0.5912 | 0.8273 | 0.8692 | 0.7855 | 0.8375 | 0.8963 | 0.8438 | 0.6573 |
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| 0.448 | 2.0 | 1894 | 0.4538 | 0.8894 | 0.9237 | 0.8551 | 0.9 | 0.9030 | 0.9453 | 0.7807 |
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| 0.2443 | 3.0 | 2841 | 0.5106 | 0.8835 | 0.9159 | 0.8512 | 0.8925 | 0.9176 | 0.9141 | 0.7671 |
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### Framework versions
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model.safetensors
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runs/Mar26_09-24-45_tardis/events.out.tfevents.1711442967.tardis.1468911.1
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