metadata

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.

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