metadata
library_name: transformers
base_model: microsoft/trocr-large-printed
tags:
- generated_from_trainer
model-index:
- name: trocr-large-printed-e13b_tesseract_MICR_ocr_with_character
results: []
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