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--- |
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library_name: transformers |
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license: mit |
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base_model: TutlaytAI/TrOCR-arb |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: TrOCR-arb-hausaFull |
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results: [] |
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language: |
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- ha |
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pipeline_tag: image-text-to-text |
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datasets: |
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- TutlaytAI/Hausa_Ajami_OCR |
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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-arb-hausaFull |
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This model is a fine-tuned version of [microsoft/trocr-base-handwritten](https://huggingface.co/microsoft/trocr-base-handwritten) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Cer: 0.6361 |
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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-06 |
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 60 |
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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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| No log | 6.4103 | 500 | 4.1384 | 0.9864 | |
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| No log | 12.8205 | 1000 | 3.7169 | 0.9803 | |
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| No log | 19.2308 | 1500 | 3.7846 | 0.9770 | |
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| No log | 25.6410 | 2000 | 3.8778 | 0.9758 | |
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### Framework versions |
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- Transformers 4.53.2 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.2 |
