Dr3dre/rm-paraphrase-24-sft-oai-pythia-1b-deduped-lr-para-meta-llama-3-8b-inst

Model Card for sft-oai-pythia-1b-deduped-lr6-35e-05-effbs128-ep1-0_lr1.5e-05_effbs64_ep1.0_para-Meta-Llama-3-8B-Inst

This model is a fine-tuned version of Dr3dre/sft-oai-pythia-1b-deduped-lr6-35e-05-effbs128-ep1-0. 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

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}}
}