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ajtamayoh/Disease_Identification_SonatafyAI_BERT_v1
Disease_Identification_SonatafyAI_BERT_v1 is a token classification model from ajtamayoh. Use it when you need labels on individual words, such as names. 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. --
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.safetensors431 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of google-bert/bert-base-cased on the ncbi_disease 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1208 | 1.0 | 680 | 0.0579 | 0.7339 | 0.8272 | 0.7778 | 0.9816 |
| 0.0438 | 2.0 | 1360 | 0.0616 | 0.7785 | 0.8755 | 0.8242 | 0.9836 |
| 0.0171 | 3.0 | 2040 | 0.0736 | 0.7949 | 0.8272 | 0.8107 | 0.9822 |
| 0.0096 | 4.0 | 2720 | 0.0857 | 0.8173 | 0.8640 | 0.8400 | 0.9844 |
| 0.0069 | 5.0 | 3400 | 0.0986 | 0.8050 | 0.8551 | 0.8293 | 0.9833 |
| 0.0016 | 6.0 | 4080 | 0.1055 | 0.8068 | 0.8755 | 0.8397 | 0.9834 |
| 0.0009 | 7.0 | 4760 | 0.1063 | 0.8247 | 0.8729 | 0.8481 | 0.9840 |