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update model card README.md
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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
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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:
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### Training results
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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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### 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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