cardio-sahayak-vlm

This model is a fine-tuned version of google/medgemma-27b-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: 0.0001
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Framework versions

• PEFT 0.18.1
• Transformers 5.2.0
• Pytorch 2.10.0+cu128
• Datasets 4.6.1
• Tokenizers 0.22.2

License & Attribution

This model is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

You must provide appropriate credit to the inventcures/cardio-sahayak project and this Hugging Face repository for any kind of academic, non-commercial, or commercial use.