sandepaAI/sandepaAI_gemma4_coder_12b

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sandepaAIgemma4coder_12b

This model is a fine-tuned version of google/gemma-4-12B-it on an unknown 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: 1
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —training_steps: 5200

Training results

Framework versions

• —PEFT 0.19.1
• —Transformers 5.15.0.dev0
• —Pytorch 2.12.1+cu130
• —Datasets 4.3.0
• —Tokenizers 0.22.2