Savyasaachin/gemma3n-lora-luna-memory-distill-v2

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gemma3n-lora-luna-memory-distill-v2

This model is a fine-tuned version of unsloth/gemma-3n-e2b-it-unsloth-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: nan

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: 0.0001
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 3407
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 10
• —training_steps: 30

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 4.56.2
• —Pytorch 2.9.0+cu126
• —Datasets 4.3.0
• —Tokenizers 0.22.2