trocr-large-printed-e13b_tesseract_MICR_ocr_with_character

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: 0.1742
• Cer: 0.0032

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.3728	1.0	841	0.2980	0.0198
0.1551	2.0	1682	0.1742	0.0032

Framework versions

• Transformers 4.45.2
• Pytorch 2.1.0+cu118
• Datasets 3.2.0
• Tokenizers 0.20.3