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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Model tree for Wonder-Griffin/JudgeLLM
Base model
Wonder-Griffin/JudgeLLM
Finetuned
Wonder-Griffin/JudgeLLM2
Finetuned
Wonder-Griffin/Judge-GPT2