SourceData_RolesMulti_v1_0_0_PubMedBERT_large

This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-large-uncased-abstract on the source_data dataset. It achieves the following results on the evaluation set:

• Loss: 0.0068
• Accuracy Score: 0.9981
• Precision: 0.9613
• Recall: 0.9695
• F1: 0.9654

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use adafactor and the args are: No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Score	Precision	Recall	F1
0.0046	0.9994	863	0.0068	0.9981	0.9613	0.9695	0.9654

Framework versions

• Transformers 4.46.3
• Pytorch 1.13.1+cu117
• Datasets 3.1.0
• Tokenizers 0.20.3