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# trl_rm_tldr_gptj

This model is a fine-tuned version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) on the TL;DR dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6624
- Accuracy: 0.6857

## 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: 1.41e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5633        | 1.0   | 22660 | 0.6624          | 0.6857   |


### Framework versions

- PEFT 0.7.1.dev0
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0
{"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "EleutherAI/gpt-j-6b", "model-index": [{"name": "trl_rm_tldr_gptj", "results": []}]}
peft safetensors generated_from_trainer base_model:EleutherAI/gpt-j-6b license:apache-2.0 region:us