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: 0.915
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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: 0.4379
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- F1 Macro: 0.9023
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- F1: 0.9375
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- F1 Neg: 0.8672
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- Acc: 0.915
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- Prec: 0.9273
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- Recall: 0.9480
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- Mcc: 0.8052
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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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| 0.5485 | 1.0 | 859 | 0.4785 | 0.8535 | 0.8898 | 0.8173 | 0.8625 | 0.9136 | 0.8672 | 0.7091 |
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| 0.3413 | 2.0 | 1718 | 0.4584 | 0.8927 | 0.9251 | 0.8602 | 0.9025 | 0.9094 | 0.9414 | 0.7864 |
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| 0.1912 | 3.0 | 2577 | 0.4596 | 0.8918 | 0.9216 | 0.8621 | 0.9 | 0.9252 | 0.9180 | 0.7837 |
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### Framework versions
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model.safetensors
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runs/Mar26_10-11-58_tardis/events.out.tfevents.1711445181.tardis.1978030.1
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