paligemma_vqav2_2

This model is a fine-tuned version of google/paligemma-3b-pt-224 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: 4e-05
• train_batch_size: 3
• eval_batch_size: 3
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 12
• optimizer: Use OptimizerNames.ADAMW_TORCH 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.9888	66	1.0517

Framework versions

• PEFT 0.13.2
• Transformers 4.46.1
• Pytorch 2.4.0.post301
• Datasets 2.14.4
• Tokenizers 0.20.1