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update model card README.md

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4645
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- - Accuracy: 0.498
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  ## Model description
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@@ -47,17 +47,19 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.5522 | 1.0 | 375 | 1.4354 | 0.456 |
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- | 1.3851 | 2.0 | 750 | 1.3471 | 0.468 |
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- | 1.2672 | 3.0 | 1125 | 1.2887 | 0.486 |
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- | 1.1756 | 4.0 | 1500 | 1.2594 | 0.506 |
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- | 1.0738 | 5.0 | 1875 | 1.2746 | 0.508 |
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- | 0.9818 | 6.0 | 2250 | 1.3388 | 0.508 |
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- | 0.8955 | 7.0 | 2625 | 1.3723 | 0.502 |
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- | 0.8209 | 8.0 | 3000 | 1.3901 | 0.496 |
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- | 0.7445 | 9.0 | 3375 | 1.4645 | 0.498 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4409
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+ - Accuracy: 0.61
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.4503 | 1.0 | 1713 | 1.2659 | 0.485 |
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+ | 1.2726 | 2.0 | 3426 | 1.1611 | 0.52 |
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+ | 1.1661 | 3.0 | 5139 | 1.0906 | 0.56 |
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+ | 1.0649 | 4.0 | 6852 | 1.0425 | 0.58 |
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+ | 0.9637 | 5.0 | 8565 | 1.0425 | 0.61 |
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+ | 0.8681 | 6.0 | 10278 | 1.0039 | 0.62 |
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+ | 0.7704 | 7.0 | 11991 | 1.0983 | 0.625 |
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+ | 0.6871 | 8.0 | 13704 | 1.2018 | 0.62 |
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+ | 0.6137 | 9.0 | 15417 | 1.2758 | 0.615 |
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+ | 0.55 | 10.0 | 17130 | 1.3500 | 0.595 |
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+ | 0.4966 | 11.0 | 18843 | 1.4409 | 0.61 |
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  ### Framework versions