ajtamayoh/Disease_Identification_SonatafyAI_BERT_v1

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DiseaseIdentificationSonatafyAIBERTv1

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:

• —Loss: 0.1063
• —Precision: 0.8247
• —Recall: 0.8729
• —F1: 0.8481
• —Accuracy: 0.9840

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 7

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2