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Fine tune model

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README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4877
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- - Precision: 0.8557
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- - Recall: 0.6375
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- - F1-score: 0.7306
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- - Accuracy: 0.7991
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  ## Model description
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@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1-score | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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- | 0.656 | 1.0 | 762 | 0.6091 | 0.5121 | 0.9432 | 0.6638 | 0.5916 |
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- | 0.5514 | 2.0 | 1524 | 0.6414 | 0.5205 | 0.9370 | 0.6692 | 0.6041 |
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- | 0.5584 | 3.0 | 2286 | 0.4862 | 0.7271 | 0.7696 | 0.7478 | 0.7781 |
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- | 0.5467 | 4.0 | 3048 | 0.4781 | 0.8197 | 0.6912 | 0.7500 | 0.8030 |
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- | 0.5519 | 5.0 | 3810 | 0.4877 | 0.8557 | 0.6375 | 0.7306 | 0.7991 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4772
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+ - Precision: 0.7667
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+ - Recall: 0.7573
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+ - F1-score: 0.7620
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+ - Accuracy: 0.7978
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1-score | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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+ | 0.6534 | 1.0 | 762 | 0.5813 | 0.5741 | 0.8633 | 0.6896 | 0.6678 |
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+ | 0.5574 | 2.0 | 1524 | 0.6461 | 0.5373 | 0.8848 | 0.6686 | 0.6251 |
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+ | 0.5534 | 3.0 | 2286 | 0.5031 | 0.6658 | 0.8264 | 0.7375 | 0.7485 |
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+ | 0.5434 | 4.0 | 3048 | 0.4725 | 0.7818 | 0.7373 | 0.7589 | 0.7997 |
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+ | 0.5531 | 5.0 | 3810 | 0.4772 | 0.7667 | 0.7573 | 0.7620 | 0.7978 |
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  ### Framework versions
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