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update model card README.md

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  ---
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- license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: distilroberta-base-culinary
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  results: []
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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 results
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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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  ---
 
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - f1
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  model-index:
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  - name: distilroberta-base-culinary
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  results: []
 
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  # distilroberta-base-culinary
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+ This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1049
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+ - F1: 0.9849
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  ## Model description
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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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+ | 0.1718 | 0.5 | 500 | 0.0960 | 0.9819 |
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+ | 0.1554 | 1.0 | 1000 | 0.0701 | 0.9819 |
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+ | 0.0752 | 1.51 | 1500 | 0.1325 | 0.9699 |
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+ | 0.0669 | 2.01 | 2000 | 0.0880 | 0.9849 |
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+ | 0.0312 | 2.51 | 2500 | 0.1450 | 0.9759 |
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+ | 0.0287 | 3.01 | 3000 | 0.0962 | 0.9819 |
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+ | 0.0098 | 3.51 | 3500 | 0.1049 | 0.9849 |
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  ### Framework versions