paligemma_Mix_vqa_rad_Bn33

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: 1.5154

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.5703	1.9778	112	1.5809
1.3233	3.9422	224	1.5154

Framework versions

• PEFT 0.13.2
• Transformers 4.47.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3