---
tags:
- generated_from_trainer
base_model: microsoft/trocr-base-printed
model-index:
- name: image-text-captcha
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# image-text-captcha

This model is a fine-tuned version of [microsoft/trocr-base-printed](https://huggingface.co/microsoft/trocr-base-printed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1041
- Cer: 0.0161

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 11.8912       | 1.0   | 217  | 0.2386          | 0.0774 |
| 11.8912       | 2.0   | 434  | 0.1543          | 0.0452 |
| 0.4293        | 3.0   | 651  | 0.1088          | 0.0194 |
| 0.4293        | 4.0   | 868  | 0.1233          | 0.0323 |
| 0.0775        | 5.0   | 1085 | 0.1041          | 0.0161 |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3