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--- |
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library_name: transformers |
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language: |
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- ur |
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base_model: cxfajar197/urdu-ocr |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: trocr for Urdu |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# trocr for Urdu |
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This model is a fine-tuned version of [cxfajar197/urdu-ocr](https://huggingface.co/cxfajar197/urdu-ocr) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8947 |
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- Cer: 0.2676 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 0.762 | 0.3188 | 1000 | 2.0288 | 0.2936 | |
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| 0.6622 | 0.6376 | 2000 | 2.0111 | 0.2791 | |
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| 0.5878 | 0.9563 | 3000 | 1.8947 | 0.2676 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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