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bengali-ocr-qwen
shadid113/bengali-ocr-qwen
bengali-ocr-qwen is a text generation model from shadid113. Use it when you need the model to write or continue text. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
All-time downloads
240
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Repo size
14.2 GB
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1
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At a glance
- Task
- Text Generation
- Library
- peft
- Access
- Public
- Created
- Dec 21, 2025
- Updated
- Dec 24, 2025
- SHA
- b695bc9e
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Generation
- Library
- peft
- Created
- Dec 21, 2025
- Updated
- Dec 24, 2025