tags: | |
- generated_from_trainer | |
model-index: | |
- name: ArOCRv4 | |
results: [] | |
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# 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 | |