Model Card for pythia-1b-deduped_lr6.35e-05_effbs128_ep1.0_lr1.5e-05_effbs64_ep1.0_flip

This model is a fine-tuned version of None. It has been trained using TRL.

Quick start

from transformers import pipeline

text = "The capital of France is Paris."
rewarder = pipeline(model="None", device="cuda")
output = rewarder(text)[0]
print(output["score"])

Training procedure

Visualize in Weights & Biases

This model was trained with Reward.

Framework versions

  • TRL: 0.28.0.dev0
  • Transformers: 4.57.6
  • Pytorch: 2.9.1
  • Datasets: 4.5.0
  • Tokenizers: 0.22.2

Citations

Cite TRL as:

@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}
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