paligemma2_vizwiz_ft
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: 1.3993
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: 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0059 | 0.2616 | 1000 | 0.9810 |
| 0.9879 | 0.5232 | 2000 | 0.9459 |
| 0.9642 | 0.7848 | 3000 | 0.8539 |
| 0.3278 | 1.0463 | 4000 | 0.9245 |
| 0.4549 | 1.3079 | 5000 | 0.8947 |
| 0.3203 | 1.5695 | 6000 | 0.9701 |
| 0.3636 | 1.8311 | 7000 | 0.8976 |
| 0.0711 | 2.0926 | 8000 | 1.1249 |
| 0.1172 | 2.3542 | 9000 | 1.3376 |
| 0.1118 | 2.6158 | 10000 | 1.3872 |
| 0.1114 | 2.8774 | 11000 | 1.3993 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1