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update model card README.md

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@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilroberta-base-culinary
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9495
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  ## Model description
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@@ -45,15 +45,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:------:|:---------------:|
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- | 1.2324 | 1.0 | 173063 | 1.1395 |
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- | 1.1025 | 2.0 | 346126 | 1.0549 |
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- | 0.9952 | 3.0 | 519189 | 0.9814 |
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- | 1.029 | 4.0 | 692252 | 0.9495 |
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  ### Framework versions
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  - Transformers 4.18.0
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- - Pytorch 1.10.0+cu111
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  - Datasets 2.1.0
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  - Tokenizers 0.12.1
 
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  # distilroberta-base-culinary
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: nan
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:------:|:---------------:|
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+ | 1.3161 | 1.0 | 73038 | 1.3425 |
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+ | 1.1902 | 2.0 | 146076 | 1.2345 |
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+ | 1.2465 | 3.0 | 219114 | 1.1495 |
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+ | 1.1919 | 4.0 | 292152 | nan |
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  ### Framework versions
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  - Transformers 4.18.0
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+ - Pytorch 1.11.0+cu113
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  - Datasets 2.1.0
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  - Tokenizers 0.12.1