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End of training

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README.md CHANGED
@@ -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-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2637
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- - Accuracy: 0.9093
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- - F1: 0.9091
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  ## Model description
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@@ -53,12 +53,11 @@ 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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- | 0.337 | 1.0 | 313 | 0.2637 | 0.9093 | 0.9091 |
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- | 0.154 | 2.0 | 626 | 0.2963 | 0.9045 | 0.9049 |
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- | 0.0558 | 3.0 | 939 | 0.4010 | 0.9182 | 0.9179 |
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- | 0.0128 | 4.0 | 1252 | 0.6283 | 0.9201 | 0.9198 |
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- | 0.0037 | 5.0 | 1565 | 0.6197 | 0.9196 | 0.9196 |
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- | 0.0027 | 6.0 | 1878 | 0.6015 | 0.9216 | 0.9211 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2692
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+ - Accuracy: 0.9139
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+ - F1: 0.9144
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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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+ | 0.3458 | 1.0 | 313 | 0.2765 | 0.9016 | 0.9012 |
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+ | 0.1553 | 2.0 | 626 | 0.2692 | 0.9139 | 0.9144 |
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+ | 0.069 | 3.0 | 939 | 0.4291 | 0.9120 | 0.9115 |
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+ | 0.022 | 4.0 | 1252 | 0.5629 | 0.9129 | 0.9123 |
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+ | 0.0066 | 5.0 | 1565 | 0.5950 | 0.9229 | 0.9229 |
 
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  ### Framework versions
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