Paligemma_VQA_Histo
This model is a fine-tuned version of google/paligemma-3b-pt-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6948
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: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9658 | 0.9988 | 103 | 0.7493 |
| 0.6435 | 1.9976 | 206 | 0.7404 |
| 0.6274 | 2.9964 | 309 | 0.7182 |
| 0.6068 | 3.9952 | 412 | 0.6950 |
| 0.6028 | 4.9939 | 515 | 0.7121 |
| 0.5909 | 5.9927 | 618 | 0.6927 |
| 0.5844 | 6.9915 | 721 | 0.7075 |
| 0.5892 | 8.0 | 825 | 0.6910 |
| 0.571 | 8.9988 | 928 | 0.6977 |
| 0.5808 | 9.9879 | 1030 | 0.6948 |
Framework versions
- PEFT 0.13.3.dev0
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for Mirgan/Paligemma_VQA_Histo
Base model
google/paligemma-3b-pt-224