| --- | |
| 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 | |
| <!-- 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. --> | |
| # openai_community_med_e3 | |
| This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/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 | |
| ### Training results | |
| {'rouge1': 0.23894966434046966, | |
| 'rouge2': 0.106373660644453, | |
| 'rougeL': 0.2292802155791441, | |
| 'rougeLsum': 0.22745052553203093} | |
| ### Framework versions | |
| - PEFT 0.10.1.dev0 | |
| - Transformers 4.39.1 | |
| - Pytorch 2.0.0 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 |