Model save
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- model.safetensors +1 -1
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:
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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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- Millor Epoca:
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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 | Millor Epoca |
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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: 1.2458
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- F1 Macro: 0.8817
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- F1: 0.9130
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- F1 Neg: 0.8503
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- Acc: 0.89
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- Prec: 0.9130
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- Recall: 0.9130
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- Mcc: 0.7634
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- Millor Epoca: 6
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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 | Millor Epoca |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|:------------:|
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| 0.2675 | 1.0 | 3801 | 0.5655 | 0.8736 | 0.9115 | 0.8357 | 0.885 | 0.8876 | 0.9368 | 0.7498 | 1 |
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| 0.1016 | 2.0 | 7602 | 0.7133 | 0.8640 | 0.8926 | 0.8354 | 0.87 | 0.9351 | 0.8538 | 0.7337 | 1 |
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| 0.041 | 3.0 | 11403 | 1.0065 | 0.8702 | 0.9101 | 0.8303 | 0.8825 | 0.8815 | 0.9407 | 0.7442 | 1 |
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| 0.0211 | 4.0 | 15204 | 1.2972 | 0.8736 | 0.9115 | 0.8357 | 0.885 | 0.8876 | 0.9368 | 0.7498 | 1 |
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| 0.0108 | 5.0 | 19005 | 1.3592 | 0.8677 | 0.9080 | 0.8273 | 0.88 | 0.8810 | 0.9368 | 0.7387 | 1 |
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| 0.002 | 6.0 | 22806 | 1.2458 | 0.8817 | 0.9130 | 0.8503 | 0.89 | 0.9130 | 0.9130 | 0.7634 | 6 |
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| 0.0 | 7.0 | 26607 | 1.3670 | 0.8766 | 0.9133 | 0.8399 | 0.8875 | 0.8910 | 0.9368 | 0.7554 | 6 |
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### Framework versions
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model.safetensors
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size 433270768
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