nabilwalidrafi/medgemma-4b-it-sft-lora-ham10000

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medgemma-4b-it-sft-lora-ham10000

This model is a fine-tuned version of google/medgemma-4b-it on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0762

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: 1
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.16.0
• —Transformers 4.53.2
• —Pytorch 2.6.0+cu124
• —Datasets 2.14.4
• —Tokenizers 0.21.2