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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4947
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  ## Model description
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@@ -41,20 +41,16 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.7062 | 1.0 | 71 | 0.6924 |
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- | 0.4359 | 2.0 | 142 | 0.6169 |
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- | 0.5675 | 3.0 | 213 | 0.4947 |
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- | 0.3906 | 4.0 | 284 | 0.6447 |
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- | 0.128 | 5.0 | 355 | 0.7248 |
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- | 0.0415 | 6.0 | 426 | 1.3762 |
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- | 0.0541 | 7.0 | 497 | 1.4622 |
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- | 0.1933 | 8.0 | 568 | 1.2163 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4533
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6973 | 1.0 | 71 | 0.6903 |
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+ | 0.3898 | 2.0 | 142 | 0.4707 |
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+ | 0.4063 | 3.0 | 213 | 0.4533 |
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+ | 0.2 | 4.0 | 284 | 0.7526 |
 
 
 
 
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  ### Framework versions
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