trl_rm_tldr_gptj

This model is a fine-tuned version of 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

BibTex Citation

If you would like to cite our paper when using the model, please use

@article{sun2024supervised,
  title={Supervised Fine-Tuning as Inverse Reinforcement Learning},
  author={Sun, Hao},
  journal={arXiv preprint arXiv:2403.12017},
  year={2024}
}
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