bengali-ocr-qwen
This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6446
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9540 | 1.0 | 106 | 2.6780 |
| 4.4672 | 2.0 | 212 | 2.6517 |
| 4.2089 | 3.0 | 318 | 2.6446 |
Framework versions
- PEFT 0.16.0
- Transformers 5.0.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1
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Model tree for shadid113/bengali-ocr-qwen
Base model
Qwen/Qwen2.5-VL-3B-Instruct