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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: ArOCRv4
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ArOCRv4
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5811
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- Cer: 0.1249
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 3.103 | 1.18 | 1000 | 8.0852 | 11.5974 |
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| 1.2535 | 2.36 | 2000 | 2.0400 | 0.4904 |
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| 0.5682 | 3.55 | 3000 | 1.9336 | 0.2145 |
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| 0.3038 | 4.73 | 4000 | 1.5811 | 0.1249 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.9.1
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- Datasets 2.1.0
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- Tokenizers 0.11.6
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