metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: answer_logs
results: []
answer_logs
This model is a fine-tuned version of gpt2 on a set of around 8000 .questions and answers generated from pubmed central open access research papers
Model description
Finetuned gpt2
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 13.0
Training results
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1