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cerebroGPT-gemma3-27B-finetune – AI Model by reikop | AlphaNeural AI
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reikop
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cerebroGPT-gemma3-27B-finetune
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peft
safetensors
generated_from_trainer
google/gemma-2-9b-it
adapter
gemma
us
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cerebroGPT-gemma3-27B-finetune
This model is a fine-tuned version of
google/gemma-2-9b-it
on the None dataset.
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: 0.0002
train_batch_size: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 7
total_train_batch_size: 21
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.4.1
Tokenizers 0.21.0
