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--- |
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base_model: Wonder-Griffin/Judge-GPT2 |
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datasets: |
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- stanfordnlp/imdb |
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language: |
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- en |
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library_name: transformers |
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license: unlicense |
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metrics: |
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- accuracy |
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pipeline_tag: text-generation |
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tags: |
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- text-generation-inference |
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- question-answering |
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- casual-lm |
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--- |
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# JudgeLLM |
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This model is a fine-tuned version of [Wonder-Griffin/Judge-GPT2](https://huggingface.co/Wonder-Griffin/Judge-GPT2). |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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### Training results |
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More information needed |
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### Framework versions |
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- Transformers 4.43.3 |
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- Pytorch 2.4.0+cu124 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
