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End of training

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@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1609
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- - Accuracy: 0.97
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- - F1: 0.9696
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  ## Model description
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@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 477 | 0.2237 | 0.9545 | 0.9539 |
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- | 0.7007 | 2.0 | 954 | 0.1609 | 0.97 | 0.9696 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1587
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+ - Accuracy: 0.9687
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+ - F1: 0.9683
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 477 | 0.1896 | 0.9597 | 0.9595 |
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+ | 0.6321 | 2.0 | 954 | 0.1587 | 0.9687 | 0.9683 |
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  ### Framework versions