SourceData_GeneprodRoles_v1_0_0_PubMedBERT_base

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

• Loss: 0.0135
• Accuracy Score: 0.9948
• Precision: 0.9208
• Recall: 0.9266
• F1: 0.9237

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: 0.0001
• train_batch_size: 64
• eval_batch_size: 128
• seed: 42
• 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
0.0146	1.0	864	0.0135	0.9948	0.9208	0.9266	0.9237

Framework versions

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