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
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google/paligemma-3b-pt-224
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