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---
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 |