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:
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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 | Prec | Recall | Mcc |
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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: 0.2979
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- F1 Macro: 0.9199
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- F1: 0.9483
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- F1 Neg: 0.8915
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- Acc: 0.93
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- Prec: 0.9414
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- Recall: 0.9554
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- Mcc: 0.8401
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- Millor Epoca: 1
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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 | Millor Epoca |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|:------------:|
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| 0.265 | 1.0 | 3803 | 0.2979 | 0.9199 | 0.9483 | 0.8915 | 0.93 | 0.9414 | 0.9554 | 0.8401 | 1 |
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| 0.1156 | 2.0 | 7606 | 0.4891 | 0.9034 | 0.9331 | 0.8736 | 0.9125 | 0.9606 | 0.9071 | 0.8098 | 1 |
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| 0.0723 | 3.0 | 11409 | 0.6325 | 0.8975 | 0.9295 | 0.8655 | 0.9075 | 0.9531 | 0.9071 | 0.7973 | 1 |
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| 0.0243 | 4.0 | 15212 | 0.7340 | 0.9076 | 0.9379 | 0.8773 | 0.9175 | 0.9504 | 0.9257 | 0.8159 | 1 |
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| 0.0113 | 5.0 | 19015 | 0.7790 | 0.8930 | 0.9249 | 0.8612 | 0.9025 | 0.96 | 0.8922 | 0.7909 | 1 |
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| 0.0065 | 6.0 | 22818 | 0.8293 | 0.9046 | 0.9361 | 0.8731 | 0.915 | 0.9468 | 0.9257 | 0.8097 | 1 |
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| 0.0001 | 7.0 | 26621 | 0.7992 | 0.9069 | 0.9383 | 0.8755 | 0.9175 | 0.9436 | 0.9331 | 0.8139 | 1 |
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### Framework versions
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model.safetensors
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size 433270768
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