Model save
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README.md
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-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 results
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc
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### Framework versions
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5680
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- F1 Macro: 0.8376
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- F1: 0.8868
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- F1 Neg: 0.7885
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- Acc: 0.8525
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- Prec: 0.8619
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- Recall: 0.9130
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- Mcc: 0.6781
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## Model description
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### Training results
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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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| 0.6283 | 1.0 | 857 | 0.5262 | 0.7053 | 0.8379 | 0.5727 | 0.765 | 0.7454 | 0.9567 | 0.4813 |
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| 0.5741 | 2.0 | 1714 | 0.5939 | 0.8028 | 0.8610 | 0.7447 | 0.82 | 0.8447 | 0.8780 | 0.6069 |
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| 0.4751 | 3.0 | 2571 | 0.6656 | 0.8198 | 0.8801 | 0.7594 | 0.84 | 0.8393 | 0.9252 | 0.6482 |
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### Framework versions
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runs/Mar26_08-51-26_tardis/events.out.tfevents.1711439814.tardis.895130.5
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c2ab6312eaf80c836aa53dea446333e0f8fcd8815ee39501a19cc2cf2eec4d7
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size 699
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