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gemma3-lora-coding – AI Model by Achiket123 | AlphaNeural AI
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Achiket123
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gemma3-lora-coding
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peft
safetensors
adapter
lora
transformers
text-generation
code_search_net
google/gemma-3-270m
gemma
us
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gemma3-lora-coding
This model is a fine-tuned version of
google/gemma-3-270m
on the code_search_net 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: 4
seed: 42
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
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.17.0
Transformers 4.56.0.dev0
Pytorch 2.6.0+cu124
Datasets 2.14.6
Tokenizers 0.21.4
