jordyvl/biobert-base-cased-v1.2_ncbi_disease-softmax-labelall-ner

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biobert-base-cased-v1.2ncbidisease-softmax-labelall-ner

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the ncbi_disease dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0629
• —Precision: 0.8289
• —Recall: 0.8615
• —F1: 0.8449
• —Accuracy: 0.9861

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: 4
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.18.0
• —Pytorch 1.10.2+cu102
• —Datasets 2.3.2
• —Tokenizers 0.12.1