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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3985
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  ## Model description
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@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.7446 | 1.0 | 50 | 0.7331 |
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- | 0.7326 | 2.0 | 100 | 0.7265 |
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- | 0.7179 | 3.0 | 150 | 0.7167 |
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- | 0.7067 | 4.0 | 200 | 0.7032 |
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- | 0.6927 | 5.0 | 250 | 0.6858 |
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- | 0.6781 | 6.0 | 300 | 0.6656 |
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- | 0.659 | 7.0 | 350 | 0.6407 |
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- | 0.6353 | 8.0 | 400 | 0.6197 |
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- | 0.63 | 9.0 | 450 | 0.6077 |
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- | 0.6715 | 10.0 | 500 | 0.6059 |
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- | 0.6293 | 11.0 | 550 | 0.5972 |
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- | 0.603 | 12.0 | 600 | 0.5827 |
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- | 0.5759 | 13.0 | 650 | 0.5587 |
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- | 0.5927 | 14.0 | 700 | 0.5277 |
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- | 0.5673 | 15.0 | 750 | 0.4986 |
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- | 0.527 | 16.0 | 800 | 0.4772 |
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- | 0.4916 | 17.0 | 850 | 0.4431 |
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- | 0.4237 | 18.0 | 900 | 0.4342 |
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- | 0.4034 | 19.0 | 950 | 0.3987 |
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- | 0.3669 | 20.0 | 1000 | 0.3985 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3771
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6872 | 1.0 | 50 | 0.6900 |
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+ | 0.6855 | 2.0 | 100 | 0.6860 |
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+ | 0.6796 | 3.0 | 150 | 0.6798 |
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+ | 0.6749 | 4.0 | 200 | 0.6724 |
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+ | 0.6663 | 5.0 | 250 | 0.6638 |
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+ | 0.6589 | 6.0 | 300 | 0.6536 |
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+ | 0.6578 | 7.0 | 350 | 0.6435 |
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+ | 0.6511 | 8.0 | 400 | 0.6326 |
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+ | 0.6414 | 9.0 | 450 | 0.6269 |
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+ | 0.6357 | 10.0 | 500 | 0.6199 |
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+ | 0.6512 | 11.0 | 550 | 0.6125 |
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+ | 0.6468 | 12.0 | 600 | 0.6035 |
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+ | 0.6238 | 13.0 | 650 | 0.5905 |
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+ | 0.6032 | 14.0 | 700 | 0.5627 |
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+ | 0.5662 | 15.0 | 750 | 0.5342 |
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+ | 0.5177 | 16.0 | 800 | 0.4790 |
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+ | 0.4832 | 17.0 | 850 | 0.4662 |
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+ | 0.4338 | 18.0 | 900 | 0.4259 |
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+ | 0.3974 | 19.0 | 950 | 0.3981 |
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+ | 0.3195 | 20.0 | 1000 | 0.3771 |
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  ### Framework versions
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