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trocr-small-BY5-stage1-baseline
cyttic/trocr-small-BY5-stage1-baseline
trocr-small-BY5-stage1-baseline is a image-text-to-text model from cyttic. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- mit
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- Sep 19, 2026
- Updated
- Oct 30, 2026
- SHA
- 15c68dde
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
trocr-small-BY5-stage1-baseline
This model is a fine-tuned version of cyttic/trocr-hebrew-small-untrained on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.0938
- Cer: 0.7764
- Wer: 1.2183
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: 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: 1550
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 13.4280 | 0.1290 | 2000 | 6.5431 | 0.8336 | 1.3404 |
| 12.6550 | 0.2581 | 4000 | 6.3343 | 0.7790 | 1.1704 |
| 12.8663 | 0.3871 | 6000 | 6.2829 | 0.8043 | 1.2783 |
| 12.6129 | 0.5161 | 8000 | 6.1883 | 0.7629 | 1.1179 |
| 12.4563 | 0.6452 | 10000 | 6.1467 | 0.7787 | 1.1391 |
| 12.6108 | 0.7742 | 12000 | 6.1222 | 0.7870 | 1.1703 |
| 12.5069 | 0.9032 | 14000 | 6.1029 | 0.7804 | 1.2303 |
| 12.2563 | 1.0 | 15500 | 6.0938 | 0.7764 | 1.2183 |
Framework versions
- Transformers 5.15.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.1
- Tokenizers 0.22.2
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- mit
- Created
- Sep 19, 2026
- Updated
- Oct 30, 2026