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biogpt-mlma
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metadata
library_name: transformers
license: mit
base_model: microsoft/biogpt
tags:
  - generated_from_trainer
datasets:
  - ncbi_disease
model-index:
  - name: model_folder
    results: []

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