trocr-ara-fonts64
This model is a fine-tuned version of cyttic/hatformer-synthetic-arabic on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0265
- Cer: 0.0006
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2364 | 0.0161 | 250 | 0.0717 | 0.0034 |
| 0.2522 | 0.0323 | 500 | 0.0785 | 0.0034 |
| 0.1697 | 0.0484 | 750 | 0.0696 | 0.0033 |
| 0.1362 | 0.0645 | 1000 | 0.0782 | 0.0044 |
| 0.1461 | 0.0806 | 1250 | 0.0586 | 0.0021 |
| 0.1376 | 0.0968 | 1500 | 0.0537 | 0.0016 |
| 0.1009 | 0.1129 | 1750 | 0.0551 | 0.0017 |
| 0.1136 | 0.1290 | 2000 | 0.0467 | 0.0015 |
| 0.1697 | 0.1452 | 2250 | 0.0537 | 0.0099 |
| 0.0766 | 0.1613 | 2500 | 0.0370 | 0.0010 |
| 0.0890 | 0.1774 | 2750 | 0.0337 | 0.0007 |
| 0.0805 | 0.1935 | 3000 | 0.0312 | 0.0009 |
| 0.0539 | 0.2097 | 3250 | 0.0299 | 0.0007 |
| 0.0677 | 0.2258 | 3500 | 0.0280 | 0.0006 |
| 0.0694 | 0.2419 | 3750 | 0.0270 | 0.0007 |
| 0.0591 | 0.2581 | 4000 | 0.0265 | 0.0006 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.11.0+cu128
- Datasets 5.0.1
- Tokenizers 0.22.2