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update model card README.md

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@@ -15,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert-base-uncased-finetuned-emotion
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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: 0.2158
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- - Accuracy: 0.9225
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- - F1: 0.9223
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.8546 | 1.0 | 251 | 0.3180 | 0.907 | 0.9049 |
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- | 0.2483 | 2.0 | 502 | 0.2158 | 0.9225 | 0.9223 |
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  ### Framework versions
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  - Transformers 4.13.0
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- - Pytorch 1.12.0+cu113
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- - Datasets 1.16.1
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  - Tokenizers 0.10.3
 
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  # distilbert-base-uncased-finetuned-emotion
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2215
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+ - Accuracy: 0.9245
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+ - F1: 0.9246
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.8622 | 1.0 | 251 | 0.3256 | 0.9075 | 0.9060 |
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+ | 0.2577 | 2.0 | 502 | 0.2215 | 0.9245 | 0.9246 |
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  ### Framework versions
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  - Transformers 4.13.0
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+ - Pytorch 1.12.1+cu113
 
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  - Tokenizers 0.10.3