paligemma_Mix_Med_VQA_Overall

This model is a fine-tuned version of google/paligemma-3b-mix-224 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4923

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: 0.0003
• train_batch_size: 6
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 24
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.6312	0.9079	217	0.5481
0.3645	1.8159	434	0.4459
0.2202	2.7238	651	0.4304
0.1215	3.6318	868	0.4490
0.0843	4.5397	1085	0.4923

Framework versions

• PEFT 0.15.2
• Transformers 4.45.1
• Pytorch 2.6.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.3