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JudgeLLM

This model is a fine-tuned version of Wonder-Griffin/Judge-GPT2.

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: 5e-05
  • train_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

More information needed

Framework versions

  • Transformers 4.43.3
  • Pytorch 2.4.0+cu124
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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Dataset used to train Wonder-Griffin/JudgeLLM