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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: 0.4917
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- - F1: 0.8747
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  ## Model description
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@@ -44,17 +44,13 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch_fused 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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 4.0307 | 1.0 | 157 | 1.9487 | 0.4809 |
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- | 1.0611 | 2.0 | 314 | 0.8550 | 0.7829 |
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- | 0.7065 | 3.0 | 471 | 0.6126 | 0.8407 |
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- | 0.4621 | 4.0 | 628 | 0.5273 | 0.8643 |
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- | 0.4059 | 5.0 | 785 | 0.4917 | 0.8747 |
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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: 3.5333
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+ - F1: 0.1301
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch_fused 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: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 4.1525 | 1.0 | 157 | 3.5333 | 0.1301 |
 
 
 
 
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  ### Framework versions
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