---
library_name: transformers
base_model: microsoft/trocr-large-printed
tags:
- generated_from_trainer
model-index:
- name: trocr-large-printed-e13b_tesseract_MICR_ocr
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# trocr-large-printed-e13b_tesseract_MICR_ocr

This model is a fine-tuned version of [microsoft/trocr-large-printed](https://huggingface.co/microsoft/trocr-large-printed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2391
- Cer: 0.0033

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5455        | 1.0   | 841  | 0.4618          | 0.0201 |
| 0.2068        | 2.0   | 1682 | 0.2391          | 0.0033 |


### Framework versions

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