| 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 | |