---

license: mit library_name: peft tags:

• trl
• sft
• generated_from_trainer base_model: openai-community/gpt2-medium model-index:
• name: openai_community_med_e3 results: [] pipeline_tag: text2text-generation metrics:
• rouge
  • 'rouge1': 0.23894966434046966,
  • 'rouge2': 0.106373660644453,
  • 'rougeL': 0.2292802155791441,
  • 'rougeLsum': 0.22745052553203093

openai_community_med_e3

This model is a fine-tuned version of openai-community/gpt2-medium on the None dataset.

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: 0.0009
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3

Framework versions

• PEFT 0.10.1.dev0
• Transformers 4.39.1
• Pytorch 2.0.0
• Datasets 2.18.0
• Tokenizers 0.15.2