| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: ArOCRv4 | |
| 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. --> | |
| # ArOCRv4 | |
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.5811 | |
| - Cer: 0.1249 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Cer | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| | |
| | 3.103 | 1.18 | 1000 | 8.0852 | 11.5974 | | |
| | 1.2535 | 2.36 | 2000 | 2.0400 | 0.4904 | | |
| | 0.5682 | 3.55 | 3000 | 1.9336 | 0.2145 | | |
| | 0.3038 | 4.73 | 4000 | 1.5811 | 0.1249 | | |
| ### Framework versions | |
| - Transformers 4.18.0 | |
| - Pytorch 1.9.1 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.11.6 | |