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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4416
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- - Accuracy: {'accuracy': 0.44387096774193546}
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  ## Model description
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@@ -46,11 +46,11 @@ 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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- | No log | 1.0 | 388 | 1.3820 | {'accuracy': 0.36774193548387096} |
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- | 1.39 | 2.0 | 776 | 1.3064 | {'accuracy': 0.4335483870967742} |
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- | 0.9825 | 3.0 | 1164 | 1.4416 | {'accuracy': 0.44387096774193546} |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4474
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+ - Accuracy: 0.4465
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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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+ | No log | 1.0 | 388 | 1.4461 | 0.3394 |
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+ | 1.3832 | 2.0 | 776 | 1.3165 | 0.4348 |
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+ | 1.0071 | 3.0 | 1164 | 1.4474 | 0.4465 |
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  ### Framework versions