---
license: mit
library_name: peft
tags:
- trl
- sft
- conversation
base_model: openai-community/gpt2-medium
model-index:
- name: openai_gpt
  results: []
datasets:
- daily_dialog
pipeline_tag: text-generation
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# openai_gpt

This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on the daily_dialog dataset.

## Model description


## Intended uses & limitations

The model can be used for friendly conversations
## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0025
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 200

### Training results
- Training Loss : 2.113900



### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.38.2
- Pytorch 2.0.0
- Datasets 2.18.0
- Tokenizers 0.15.2