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README.md
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# cdp-multi-classifier-sub-classes-weighted
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This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert)
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It achieves the following results on the evaluation set:
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- Loss: 0.6494
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- Accuracy: 0.8423
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- Precision: 0.7488
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- Recall: 0.8243
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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# cdp-multi-classifier-sub-classes-weighted
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This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert).
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It achieves the following results on the evaluation set:
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- Loss: 0.6494
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- Accuracy: 0.8423
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- Precision: 0.7488
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- Recall: 0.8243
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## Training procedure
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### Training hyperparameters
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