---
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: text-generation
---

<!-- 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