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ajtamayoh/
Disease_Identification_RoBERTa_fine_tuned_Testing

Name: Disease_Identification_RoBERTa_fine_tuned_Testing
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Disease_Identification_RoBERTa_fine_tuned_Testing

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-biomedical-clinical-es] (https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-clinical-es) on the [DisTEMIST dataset] (https://temu.bsc.es/distemist/). This is a result of the PhD dissertation of Antonio Tamayo. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0897	1.0	1504	0.0885	0.6534	0.6868	0.6697	0.9693
0.0626	2.0	3008	0.0899	0.6654	0.7532	0.7066	0.9687
0.0421	3.0	4512	0.1010	0.7121	0.7204	0.7162	0.9717
0.0268	4.0	6016	0.1180	0.7318	0.7427	0.7372	0.9725
0.0166	5.0	7520	0.1438	0.7225	0.7450	0.7336	0.9722
0.0086	6.0	9024	0.1603	0.7179	0.7532	0.7351	0.9724
0.0056	7.0	10528	0.1665	0.7235	0.7528	0.7378	0.9727