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starmodel

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3315
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- - Accuracy: 0.9219
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- - Precision: 0.9255
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- - Recall: 0.9219
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- - F1: 0.9213
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  ## Model description
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@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.378 | 1.0 | 16 | 0.7809 | 0.7344 | 0.8263 | 0.7344 | 0.7375 |
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- | 0.2672 | 2.0 | 32 | 0.3393 | 0.8906 | 0.8922 | 0.8906 | 0.8894 |
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- | 0.0864 | 3.0 | 48 | 0.3315 | 0.9219 | 0.9255 | 0.9219 | 0.9213 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3933
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+ - Accuracy: 0.8906
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+ - Precision: 0.8974
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+ - Recall: 0.8906
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+ - F1: 0.8899
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 1.2798 | 1.0 | 16 | 0.7683 | 0.7344 | 0.8181 | 0.7344 | 0.7226 |
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+ | 0.1812 | 2.0 | 32 | 0.3600 | 0.8906 | 0.8974 | 0.8906 | 0.8899 |
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+ | 0.0363 | 3.0 | 48 | 0.3933 | 0.8906 | 0.8974 | 0.8906 | 0.8899 |
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  ### Framework versions
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