Achiket123/gemma3-lora-coding
013
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
gemma3-lora-coding
This model is a fine-tuned version of google/gemma-3-270m on the codesearchnet 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
- trainbatchsize: 4
- evalbatchsize: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- num_epochs: 3
- mixedprecisiontraining: 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
