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tmarkspengler/output-roberta

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README.md CHANGED
@@ -18,9 +18,9 @@ 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: 0.0335
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- - Accuracy: 0.9937
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- - F1 Macro: 0.9934
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  ## Model description
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@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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- | 0.0964 | 1.0 | 1255 | 0.0292 | 0.9933 | 0.9929 |
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- | 0.0388 | 2.0 | 2510 | 0.0335 | 0.9937 | 0.9934 |
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- | 0.0183 | 3.0 | 3765 | 0.0407 | 0.9933 | 0.9929 |
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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: 0.0339
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+ - Accuracy: 0.9951
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+ - F1 Macro: 0.9948
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 0.0863 | 1.0 | 1255 | 0.0317 | 0.9910 | 0.9906 |
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+ | 0.0336 | 2.0 | 2510 | 0.0303 | 0.9928 | 0.9925 |
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+ | 0.0135 | 3.0 | 3765 | 0.0339 | 0.9951 | 0.9948 |
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  ### Framework versions
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