---
tags:
- text-generation-inference
- causal-language-model
- conversational
- question-answering
- text-classification
model-index:
- name: JudgeLLM2
  results: []
language:
- en
library_name: transformers
license: wtfpl
datasets:
- wikimedia/wikipedia
- rajpurkar/squad
metrics:
- accuracy
- f1
base_model: Wonder-Griffin/JudgeLLM
---


# JudgeLLM2

This model was trained from scratch on wikipedia and squad v1.0

## 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
- eval_batch_size: 8
- 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: 10

### Training results



### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu124
- Datasets 2.20.0
- Tokenizers 0.19.1