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: 0.4413
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- F1 Macro: 0.8978
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- F1: 0.9331
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- F1 Neg: 0.8626
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- Acc: 0.91
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- Prec: 0.9331
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- Recall: 0.9331
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- Mcc: 0.7957
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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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| 0.529 | 1.0 | 859 | 0.4077 | 0.8809 | 0.9181 | 0.8436 | 0.8925 | 0.8959 | 0.9414 | 0.7640 |
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| 0.3197 | 2.0 | 1718 | 0.4343 | 0.9040 | 0.9326 | 0.8754 | 0.9125 | 0.9202 | 0.9453 | 0.8087 |
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| 0.1877 | 3.0 | 2577 | 0.4927 | 0.8953 | 0.9228 | 0.8678 | 0.9025 | 0.9357 | 0.9102 | 0.7912 |
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### Framework versions
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model.safetensors
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runs/Mar26_17-34-13_tardis/events.out.tfevents.1711471642.tardis.3527388.1
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