trocr-large-printed-cmc7_tesseract_MICR_ocr
This model is a fine-tuned version of microsoft/trocr-large-printed on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2143
- Cer: 0.0027
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 5
Training results
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for rocassis/trocr-large-printed-cmc7-ocr
Base model
microsoft/trocr-large-printed