| | --- |
| | tags: |
| | - generated_from_trainer |
| | base_model: microsoft/trocr-base-printed |
| | model-index: |
| | - name: image-text-captcha-v2 |
| | 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. --> |
| |
|
| | # image-text-captcha-v2 |
| |
|
| | 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: 0.5030 |
| | - Cer: 0.0588 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 13.43 | 1.0 | 373 | 0.6973 | 0.1290 | |
| | | 0.6695 | 2.0 | 746 | 0.5942 | 0.1082 | |
| | | 0.2885 | 3.0 | 1119 | 0.5038 | 0.0930 | |
| | | 0.2885 | 4.0 | 1492 | 0.4981 | 0.0636 | |
| | | 0.0946 | 5.0 | 1865 | 0.5030 | 0.0588 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.29.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| |
|
