README.md

metadata

library_name: transformers
license: llama3.1
base_model: RyanYr/reward-judge_iter-sft-genRM_pilot-exp_iter2
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: reward-judge_iter-sft-genRM_pilot-exp_iter3
    results: []

reward-judge_iter-sft-genRM_pilot-exp_iter3

This model is a fine-tuned version of RyanYr/reward-judge_iter-sft-genRM_pilot-exp_iter2 on an unknown dataset.

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: 2e-06
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 128
• total_train_batch_size: 512
• total_eval_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1