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venetis/distilbert-base-uncased_finetuned_text_2_disease
distilbert-base-uncased_finetuned_text_2_disease is a text classification model from venetis. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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2% of all-time downloads
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From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 0.0585 | 1.0 | 167 | 0.0354 | 0.9985 | 0.9985 | 0.9985 | 0.9986 |
| 0.0457 | 2.0 | 334 | 0.0156 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0207 | 3.0 | 501 | 0.0125 | 1.0 | 1.0 | 1.0 | 1.0 |