paligemma_ocr_final
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: 0.6634
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4537 | 0.3745 | 100 | 0.8158 |
| 1.5798 | 0.7491 | 200 | 0.7222 |
| 1.7108 | 1.1236 | 300 | 0.6713 |
| 1.2932 | 1.4981 | 400 | 0.6523 |
| 1.203 | 1.8727 | 500 | 0.6634 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.4.1+cu124
- Datasets 2.19.1
- Tokenizers 0.20.1
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Model tree for palicoqiqi/paligemma_ocr_final
Base model
google/paligemma-3b-mix-448