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update model card README.md

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  license: mit
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  tags:
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  - generated_from_trainer
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- metrics:
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- - accuracy
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  model-index:
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  - name: dignity-classifier
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  results: []
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  # dignity-classifier
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- This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.8685
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- - Accuracy: 0.6667
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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: 1
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.9018 | 1.0 | 98 | 0.8685 | 0.6667 |
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-
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  ### Framework versions
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  license: mit
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: dignity-classifier
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  results: []
 
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  # dignity-classifier
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+ This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 
 
 
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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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  ### Framework versions
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