resultspmc_vqagoogle_paligemma-3b-mix-4481002-111353
This model is a fine-tuned version of google/paligemma-3b-mix-448 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2327
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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 2
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2933 | 0.9999 | 1843 | 0.2883 |
| 0.2446 | 1.9997 | 3686 | 0.2507 |
| 0.2293 | 2.9996 | 5529 | 0.2382 |
| 0.2142 | 3.9995 | 7372 | 0.2327 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.3.0.post101
- Datasets 2.19.1
- Tokenizers 0.20.0
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Model tree for adishourya/resultspmc_vqagoogle_paligemma-3b-mix-4481002-111353
Base model
google/paligemma-3b-mix-448