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End of training
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README.md
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@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [lupobricco/feel_it_finetuned_pro_emit_multilabel2](https://huggingface.co/lupobricco/feel_it_finetuned_pro_emit_multilabel2) 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: 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 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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| No log | 7.0 |
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| No log | 8.0 |
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| No log | 9.0 |
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| No log | 10.0 |
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### Framework versions
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This model is a fine-tuned version of [lupobricco/feel_it_finetuned_pro_emit_multilabel2](https://huggingface.co/lupobricco/feel_it_finetuned_pro_emit_multilabel2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2439
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- F1: 0.5642
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- Roc Auc: 0.7425
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- Accuracy: 0.4087
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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 | 22 | 0.2472 | 0.4520 | 0.6658 | 0.3391 |
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| No log | 2.0 | 44 | 0.2445 | 0.4927 | 0.6909 | 0.3507 |
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| No log | 3.0 | 66 | 0.2439 | 0.5 | 0.6941 | 0.3594 |
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| No log | 4.0 | 88 | 0.2436 | 0.5297 | 0.7209 | 0.3652 |
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| No log | 5.0 | 110 | 0.2424 | 0.5400 | 0.7313 | 0.3710 |
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| No log | 6.0 | 132 | 0.2409 | 0.5450 | 0.7276 | 0.3768 |
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| No log | 7.0 | 154 | 0.2432 | 0.5286 | 0.7191 | 0.3652 |
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| No log | 8.0 | 176 | 0.2433 | 0.5501 | 0.7336 | 0.3942 |
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| No log | 9.0 | 198 | 0.2439 | 0.5642 | 0.7425 | 0.4087 |
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| No log | 10.0 | 220 | 0.2434 | 0.5594 | 0.7406 | 0.4029 |
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### Framework versions
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