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: 0.5730
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- F1 Macro: 0.8681
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- F1: 0.9034
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- F1 Neg: 0.8328
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- Acc: 0.8775
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- Prec: 0.9016
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- Recall: 0.9051
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- Mcc: 0.7361
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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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| 0.5812 | 1.0 | 857 | 0.6521 | 0.7381 | 0.8547 | 0.6216 | 0.79 | 0.7623 | 0.9724 | 0.5462 |
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| 0.5111 | 2.0 | 1714 | 0.7755 | 0.7830 | 0.8340 | 0.7320 | 0.795 | 0.8583 | 0.8110 | 0.5682 |
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| 0.3324 | 3.0 | 2571 | 0.7336 | 0.8131 | 0.8733 | 0.7528 | 0.8325 | 0.84 | 0.9094 | 0.6316 |
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### Framework versions
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runs/Mar25_23-28-19_tardis/events.out.tfevents.1711405983.tardis.885572.5
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version https://git-lfs.github.com/spec/v1
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oid sha256:07e8b98dfc1d808d069e3e8fdf03996a9065da373889eb4d11a2cccfc6bb5640
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size 699
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