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: 0.3829
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- F1 Macro: 0.8997
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- F1: 0.9355
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- F1 Neg: 0.8638
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- Acc: 0.9125
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- Prec: 0.9270
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- Recall: 0.9442
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- Mcc: 0.7997
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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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| 0.5749 | 1.0 | 947 | 0.5187 | 0.8416 | 0.8832 | 0.8000 | 0.8525 | 0.8956 | 0.8711 | 0.6838 |
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| 0.4043 | 2.0 | 1894 | 0.5098 | 0.8804 | 0.9184 | 0.8425 | 0.8925 | 0.8930 | 0.9453 | 0.7639 |
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| 0.2253 | 3.0 | 2841 | 0.5361 | 0.8777 | 0.9123 | 0.8432 | 0.8875 | 0.9105 | 0.9141 | 0.7555 |
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### Framework versions
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model.safetensors
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runs/Mar26_16-50-53_tardis/events.out.tfevents.1711469620.tardis.3526383.1
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