---
library_name: transformers
base_model: microsoft/trocr-small-handwritten
tags:
- generated_from_trainer
model-index:
- name: trocr-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# trocr-finetuned

This model is a fine-tuned version of [microsoft/trocr-small-handwritten](https://huggingface.co/microsoft/trocr-small-handwritten) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.6329
- Cer: 0.9928

## 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: 2e-07
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 14.31         | 1.0   | 184  | 10.6901         | 1.1449 |
| 12.83         | 2.0   | 368  | 9.7730          | 0.9783 |
| 12.4054       | 3.0   | 552  | 9.6329          | 0.9928 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3