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gemma3_lora – AI Model by maorank | AlphaNeural AI
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maorank
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gemma3_lora
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
google/gemma-3-27b-it
gemma
us
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gemma3_lora
This model is a fine-tuned version of
google/gemma-3-27b-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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.03
num_epochs: 2
Training results
Framework versions
PEFT 0.19.1
Transformers 5.9.0
Pytorch 2.6.0+cu124
Datasets 4.8.5
Tokenizers 0.22.2
