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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-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5980
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- - Accuracy: 0.7721
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  ## Model description
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@@ -46,21 +46,19 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 12
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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: constant
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- - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 1.8275 | 0.4286 | 50 | 0.5879 | 0.7721 |
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- | 1.6712 | 0.8571 | 100 | 0.5567 | 0.7653 |
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- | 2.2032 | 1.2829 | 150 | 0.6964 | 0.4626 |
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- | 1.4726 | 1.7114 | 200 | 0.4985 | 0.7891 |
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- | 1.9443 | 2.1371 | 250 | 0.7351 | 0.4048 |
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- | 2.2852 | 2.5657 | 300 | 0.5546 | 0.7721 |
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- | 0.9394 | 2.9943 | 350 | 0.5533 | 0.7653 |
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- | 4.5893 | 3.42 | 400 | 0.6459 | 0.7925 |
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- | 1.466 | 3.8486 | 450 | 0.5980 | 0.7721 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4925
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+ - Accuracy: 0.8698
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  ## Model description
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  - total_train_batch_size: 12
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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: constant
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+ - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 1.3307 | 0.2757 | 50 | 0.8133 | 0.5547 |
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+ | 2.4211 | 0.5515 | 100 | 0.6010 | 0.6615 |
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+ | 1.9701 | 0.8272 | 150 | 0.5964 | 0.6901 |
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+ | 0.2215 | 1.0993 | 200 | 0.6405 | 0.7109 |
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+ | 0.1582 | 1.375 | 250 | 0.4628 | 0.7995 |
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+ | 0.1519 | 1.6507 | 300 | 0.4207 | 0.7995 |
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+ | 0.8939 | 1.9265 | 350 | 0.4925 | 0.8698 |
 
 
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  ### Framework versions
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