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---
tags:
- generated_from_trainer
- trocr
language: ar
model-index:
- name: ArOCR
results:
- task:
name: Optical Charater Recogntion
type: image-to-text
metrics:
- name: Test CER
type: cer
value: 4.46
---
<!-- 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. -->
# ArOCR
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: 0.0620
- Cer: 0.0446
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.6633 | 0.3 | 1000 | 3.3381 | 1.0385 |
| 2.3915 | 0.59 | 2000 | 2.3581 | 0.6389 |
| 1.5061 | 0.89 | 3000 | 1.4635 | 0.4779 |
| 0.8043 | 1.18 | 4000 | 0.8260 | 0.3427 |
| 0.46 | 1.48 | 5000 | 0.5074 | 0.2242 |
| 0.3393 | 1.77 | 6000 | 0.2699 | 0.1219 |
| 0.1077 | 2.07 | 7000 | 0.1794 | 0.0933 |
| 0.063 | 2.37 | 8000 | 0.1343 | 0.0617 |
| 0.0356 | 2.66 | 9000 | 0.0790 | 0.0692 |
| 0.0292 | 2.96 | 10000 | 0.0620 | 0.0446 |
### Framework versions
- Transformers 4.18.0
- Pytorch 1.9.1
- Datasets 2.1.0
- Tokenizers 0.11.6
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