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JudgeLLM – AI Model by Wonder-Griffin | AlphaNeural AI
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Wonder-Griffin
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JudgeLLM
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transformers
safetensors
gpt2
text-generation
text-generation-inference
question-answering
casual-lm
en
stanfordnlp/imdb
Wonder-Griffin/Judge-GPT2
finetune
unlicense
autotrain_compatible
endpoints_compatible
us
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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