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JudgeLLM2 – AI Model by Wonder-Griffin | AlphaNeural AI

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Wonder-Griffin/
JudgeLLM2

like

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text-generation-inference

causal-language-model

question-answering

text-classification

wikimedia/wikipedia

rajpurkar/squad

Wonder-Griffin/JudgeLLM

endpoints_compatible

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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