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: 0.3276
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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 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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| 0.5425 | 1.0 | 824 | 0.4063 | 0.8587 | 0.9067 | 0.8106 | 0.875 | 0.8679 | 0.9492 | 0.7251 |
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| 0.3936 | 2.0 | 1648 | 0.4499 | 0.8822 | 0.9211 | 0.8433 | 0.895 | 0.8877 | 0.9570 | 0.7698 |
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| 0.2915 | 3.0 | 2472 | 0.5423 | 0.8740 | 0.9112 | 0.8369 | 0.885 | 0.9008 | 0.9219 | 0.7485 |
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### Framework versions
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model.safetensors
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runs/Mar25_23-23-30_tardis/events.out.tfevents.1711405688.tardis.885572.3
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