paligemma2_vizwiz_ft2

This model is a fine-tuned version of google/paligemma2-3b-pt-448 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6072

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
0.7985	0.1308	500	0.7325
0.7331	0.2616	1000	0.7017
0.6924	0.3924	1500	0.6753
0.6626	0.5232	2000	0.6491
0.7161	0.6540	2500	0.6260
0.6387	0.7848	3000	0.6122
0.4991	0.9156	3500	0.6080
0.3359	1.0463	4000	0.6072

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.4.2
• Tokenizers 0.22.1