model_folder

This model is a fine-tuned version of microsoft/biogpt on the ncbi_disease dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.6682
• eval_model_preparation_time: 0.0035
• eval_precision: 0.0217
• eval_recall: 0.3078
• eval_f1: 0.0405
• eval_accuracy: 0.0532
• eval_runtime: 40.9733
• eval_samples_per_second: 22.966
• eval_steps_per_second: 2.88
• step: 0

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
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.51.0
• Pytorch 2.1.0+cu121
• Datasets 3.5.0
• Tokenizers 0.21.1