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update model card README.md

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@@ -12,9 +12,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilroberta-base-wiki-mark
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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: 2.2066
 
 
 
 
 
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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: 5
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 2.2545 | 1.0 | 2028 | 2.3260 |
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- | 2.2803 | 2.0 | 4056 | 2.2899 |
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- | 2.24 | 3.0 | 6084 | 2.1889 |
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- | 2.2414 | 4.0 | 8112 | 2.2387 |
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- | 2.1412 | 5.0 | 10140 | 2.1748 |
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-
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  ### Framework versions
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- - Transformers 4.18.0
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- - Pytorch 1.6.0
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  - Datasets 2.3.2
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  - Tokenizers 0.12.1
 
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  # distilroberta-base-wiki-mark
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+ This model is a fine-tuned version of [yochen/distilroberta-base-wiki-mark](https://huggingface.co/yochen/distilroberta-base-wiki-mark) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 2.2695
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+ - eval_runtime: 4.3489
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+ - eval_samples_per_second: 431.836
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+ - eval_steps_per_second: 54.037
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+ - epoch: 10.1
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+ - step: 20489
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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: 5000
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.20.1
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+ - Pytorch 1.12.0+cu102
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  - Datasets 2.3.2
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  - Tokenizers 0.12.1