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End of training

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README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.2016
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- - Accuracy: 0.9510
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  ## Model description
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@@ -38,7 +38,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.586 | 1.0 | 477 | 0.3934 | 0.9003 |
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- | 0.118 | 2.0 | 954 | 0.2700 | 0.9339 |
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- | 0.0203 | 3.0 | 1431 | 0.2073 | 0.9484 |
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- | 0.0034 | 4.0 | 1908 | 0.2032 | 0.95 |
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- | 0.0029 | 5.0 | 2385 | 0.2016 | 0.9510 |
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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: 0.1861
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+ - Accuracy: 0.9574
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.3791 | 1.0 | 477 | 0.3287 | 0.9148 |
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+ | 0.0771 | 2.0 | 954 | 0.2252 | 0.9474 |
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+ | 0.0088 | 3.0 | 1431 | 0.1879 | 0.9568 |
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+ | 0.0023 | 4.0 | 1908 | 0.1830 | 0.9568 |
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+ | 0.0011 | 5.0 | 2385 | 0.1861 | 0.9574 |
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  ### Framework versions
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