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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: 0.4297
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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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- | 0.6897 | 1.0 | 50 | 0.6895 |
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- | 0.6827 | 2.0 | 100 | 0.6872 |
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- | 0.6754 | 3.0 | 150 | 0.6837 |
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- | 0.6721 | 4.0 | 200 | 0.6798 |
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- | 0.6699 | 5.0 | 250 | 0.6749 |
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- | 0.6383 | 6.0 | 300 | 0.6710 |
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- | 0.6221 | 7.0 | 350 | 0.6672 |
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- | 0.648 | 8.0 | 400 | 0.6667 |
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- | 0.6098 | 9.0 | 450 | 0.6655 |
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- | 0.6366 | 10.0 | 500 | 0.6628 |
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- | 0.6195 | 11.0 | 550 | 0.6524 |
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- | 0.5824 | 12.0 | 600 | 0.6296 |
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- | 0.5993 | 13.0 | 650 | 0.5940 |
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- | 0.4973 | 14.0 | 700 | 0.5788 |
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- | 0.509 | 15.0 | 750 | 0.5305 |
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- | 0.491 | 16.0 | 800 | 0.5020 |
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- | 0.407 | 17.0 | 850 | 0.4899 |
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- | 0.3218 | 18.0 | 900 | 0.4590 |
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- | 0.305 | 19.0 | 950 | 0.4410 |
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- | 0.3046 | 20.0 | 1000 | 0.4297 |
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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: 0.4497
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.7063 | 1.0 | 50 | 0.6989 |
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+ | 0.693 | 2.0 | 100 | 0.6940 |
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+ | 0.6909 | 3.0 | 150 | 0.6865 |
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+ | 0.6769 | 4.0 | 200 | 0.6774 |
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+ | 0.6639 | 5.0 | 250 | 0.6681 |
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+ | 0.6703 | 6.0 | 300 | 0.6575 |
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+ | 0.6898 | 7.0 | 350 | 0.6478 |
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+ | 0.6433 | 8.0 | 400 | 0.6391 |
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+ | 0.6289 | 9.0 | 450 | 0.6303 |
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+ | 0.6271 | 10.0 | 500 | 0.6233 |
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+ | 0.6044 | 11.0 | 550 | 0.6081 |
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+ | 0.542 | 12.0 | 600 | 0.5786 |
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+ | 0.58 | 13.0 | 650 | 0.5533 |
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+ | 0.5063 | 14.0 | 700 | 0.5100 |
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+ | 0.476 | 15.0 | 750 | 0.4943 |
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+ | 0.382 | 16.0 | 800 | 0.4584 |
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+ | 0.3776 | 17.0 | 850 | 0.4497 |
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+ | 0.318 | 18.0 | 900 | 0.4572 |
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+ | 0.261 | 19.0 | 950 | 0.4691 |
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+ | 0.2593 | 20.0 | 1000 | 0.4965 |
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  ### Framework versions
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