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--- |
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base_model: Ransaka/sinhala-ocr-model |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: sinhala-ocr-model-v3 |
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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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# sinhala-ocr-model-v3 |
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This model is a fine-tuned version of [Ransaka/sinhala-ocr-model](https://huggingface.co/Ransaka/sinhala-ocr-model) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.7242 |
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- Cer: 0.2764 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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- training_steps: 6000 |
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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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| 3.6711 | 6.54 | 500 | 4.9311 | 0.4178 | |
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| 2.3499 | 13.07 | 1000 | 4.5366 | 0.3482 | |
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| 1.5601 | 19.61 | 1500 | 4.4634 | 0.3204 | |
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| 0.987 | 26.14 | 2000 | 4.4804 | 0.3011 | |
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| 0.6487 | 32.68 | 2500 | 4.6310 | 0.2863 | |
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| 0.3816 | 39.22 | 3000 | 4.6093 | 0.2788 | |
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| 0.3494 | 45.75 | 3500 | 4.6291 | 0.2827 | |
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| 0.2357 | 52.29 | 4000 | 4.6399 | 0.2780 | |
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| 0.2188 | 58.82 | 4500 | 4.6313 | 0.2798 | |
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| 0.1413 | 65.36 | 5000 | 4.6828 | 0.2768 | |
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| 0.0985 | 71.9 | 5500 | 4.7135 | 0.2772 | |
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| 0.1086 | 78.43 | 6000 | 4.7242 | 0.2764 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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