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: 0.5650
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- F1 Macro: 0.8369
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- F1: 0.9046
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- F1 Neg: 0.7692
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- Acc: 0.865
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- Prec: 0.8620
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- Recall: 0.9517
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- Mcc: 0.6855
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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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| 0.577 | 1.0 | 835 | 0.4689 | 0.8078 | 0.8731 | 0.7424 | 0.83 | 0.8357 | 0.9141 | 0.6228 |
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| 0.4789 | 2.0 | 1670 | 0.6534 | 0.8241 | 0.8848 | 0.7634 | 0.845 | 0.8440 | 0.9297 | 0.6569 |
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| 0.3433 | 3.0 | 2505 | 0.7151 | 0.8137 | 0.8729 | 0.7546 | 0.8325 | 0.8487 | 0.8984 | 0.6302 |
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### Framework versions
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model.safetensors
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runs/Mar26_17-59-40_tardis/events.out.tfevents.1711473665.tardis.3528373.1
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