paligemma-3b-224-ft-vizwiztxtvqa

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2252

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.7729	1.0	134	0.8734
0.2513	2.0	268	0.9472
0.0574	3.0	402	1.0768
0.0308	4.0	536	1.1988
0.0065	5.0	670	1.2252

Framework versions

• Transformers 4.41.1
• Pytorch 2.2.2+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1