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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0749
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  ## Model description
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@@ -39,20 +39,27 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 3.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 9 | 0.1176 |
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- | No log | 2.0 | 18 | 0.0844 |
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- | No log | 3.0 | 27 | 0.0749 |
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.14.1
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  - Pytorch 1.10.0+cu111
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- - Datasets 1.16.1
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  - Tokenizers 0.10.3
 
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0081
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 10.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0325 | 1.0 | 24 | 0.0498 |
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+ | 0.0297 | 2.0 | 48 | 0.0466 |
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+ | 0.0141 | 3.0 | 72 | 0.0375 |
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+ | 0.0177 | 4.0 | 96 | 0.0293 |
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+ | 0.007 | 5.0 | 120 | 0.0166 |
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+ | 0.0019 | 6.0 | 144 | 0.0120 |
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+ | 0.0038 | 7.0 | 168 | 0.0094 |
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+ | 0.0013 | 8.0 | 192 | 0.0084 |
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+ | 0.0053 | 9.0 | 216 | 0.0084 |
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+ | 0.0025 | 10.0 | 240 | 0.0081 |
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  ### Framework versions
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  - Transformers 4.14.1
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  - Pytorch 1.10.0+cu111
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+ - Datasets 1.17.0
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  - Tokenizers 0.10.3