---
base_model: Wonder-Griffin/Judge-GPT2
datasets:
- stanfordnlp/imdb
language:
- en
library_name: transformers
license: unlicense
metrics:
- accuracy
pipeline_tag: text-generation
tags:
- text-generation-inference
- question-answering
- casual-lm
---
# JudgeLLM

This model is a fine-tuned version of [Wonder-Griffin/Judge-GPT2](https://huggingface.co/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