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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 [deepvk/RuModernBERT-base](https://huggingface.co/deepvk/RuModernBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0286
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- - Accuracy: 0.9917
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- - F1: 0.9915
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  ## Model description
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@@ -46,14 +46,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.0463 | 1.0 | 407 | 0.0303 | 0.9913 | 0.9912 |
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- | 0.0276 | 2.0 | 814 | 0.0286 | 0.9917 | 0.9915 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [deepvk/RuModernBERT-base](https://huggingface.co/deepvk/RuModernBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0249
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+ - Accuracy: 0.9924
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+ - F1: 0.9923
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.0472 | 1.0 | 407 | 0.0277 | 0.9914 | 0.9913 |
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+ | 0.0255 | 2.0 | 814 | 0.0250 | 0.9923 | 0.9922 |
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+ | 0.0239 | 3.0 | 1221 | 0.0249 | 0.9924 | 0.9923 |
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  ### Framework versions