zcamz/bert-classifier-toxic
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README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown 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: 0.
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- Roc Auc: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| No log | 1.0 | 499 | 0.
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### Framework versions
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3207
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- F1: 0.7032
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- Roc Auc: 0.9143
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- Accuracy: 0.9069
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| No log | 1.0 | 499 | 0.1740 | 0.5646 | 0.9544 | 0.8619 |
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| 0.2962 | 2.0 | 998 | 0.1595 | 0.5994 | 0.9551 | 0.8691 |
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| 0.1545 | 3.0 | 1497 | 0.1715 | 0.6322 | 0.9509 | 0.8776 |
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| 0.1218 | 4.0 | 1996 | 0.1883 | 0.6412 | 0.9467 | 0.8870 |
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| 0.0976 | 5.0 | 2495 | 0.2497 | 0.6808 | 0.9265 | 0.9037 |
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| 0.0807 | 6.0 | 2994 | 0.2411 | 0.6742 | 0.9331 | 0.8917 |
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| 0.0682 | 7.0 | 3493 | 0.2955 | 0.6922 | 0.9183 | 0.8995 |
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| 0.0597 | 8.0 | 3992 | 0.3207 | 0.7032 | 0.9143 | 0.9069 |
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| 0.0533 | 9.0 | 4491 | 0.3207 | 0.6977 | 0.9158 | 0.9044 |
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| 0.0487 | 10.0 | 4990 | 0.3407 | 0.7028 | 0.9091 | 0.9073 |
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### Framework versions
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