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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# model_folder

This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/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