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