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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: 0.0374
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- - F1: 0.9913
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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: 5e-05
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  - train_batch_size: 32
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  - eval_batch_size: 16
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.0263 | 1.0 | 479 | 0.0350 | 0.9897 |
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- | 0.0194 | 2.0 | 958 | 0.0386 | 0.9905 |
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- | 0.0112 | 3.0 | 1437 | 0.0391 | 0.9907 |
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- | 0.0051 | 4.0 | 1916 | 0.0374 | 0.9913 |
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- | 0.0066 | 5.0 | 2395 | 0.0374 | 0.9913 |
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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: 0.0798
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+ - F1: 0.9721
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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: 1e-05
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  - train_batch_size: 32
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.1374 | 1.0 | 479 | 0.1074 | 0.9663 |
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+ | 0.086 | 2.0 | 958 | 0.0834 | 0.9717 |
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+ | 0.0743 | 3.0 | 1437 | 0.0802 | 0.9717 |
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+ | 0.0764 | 4.0 | 1916 | 0.0799 | 0.9719 |
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+ | 0.0712 | 5.0 | 2395 | 0.0798 | 0.9721 |
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  ### Framework versions
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