|
--- |
|
base_model: microsoft/trocr-base-printed |
|
tags: |
|
- image-to-text |
|
- generated_from_trainer |
|
model-index: |
|
- name: trocr-base-printed_captcha_ocr |
|
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-base-printed_captcha_ocr |
|
|
|
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: 0.0888 |
|
- Cer: 0.0034 |
|
|
|
## 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: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.6822 | 1.0 | 750 | 0.2687 | 0.0418 | |
|
| 0.1595 | 2.0 | 1500 | 0.1413 | 0.0094 | |
|
| 0.0481 | 3.0 | 2250 | 0.0717 | 0.0029 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
