Trocr Small 2style Hh104 Hh1 Stage1 Frozen
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: 4.8153 Cer: 0.8034 Wer: 1.0763
Source du modèle
- Type
- Other
- Taille du fichier
- 897 MB
- Modèle de base
- cyttic/trocr-hebrew-small-untrained
- Version
- vRevision 1301e46
- Mis à jour
- 23 oct. 2026
- Téléchargements
- 4
- Source
- Hugging Face
Description de la source
trocr-small-2style-hh104-hh1-stage1-frozen
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: 4.8153
- Cer: 0.8034
- Wer: 1.0763
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 20.9006 | 0.2581 | 2000 | 5.1620 | 0.7917 | 1.0318 |
| 20.2420 | 0.5161 | 4000 | 4.9747 | 0.8044 | 1.0749 |
| 19.6095 | 0.7742 | 6000 | 4.8615 | 0.8131 | 1.1179 |
| 19.3409 | 1.0 | 7750 | 4.8153 | 0.8034 | 1.0763 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
Sources
1 source
Sources
1 sourceVérifié 23 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
3 extraits
Extraits de sources
3 extraits--- library_name: transformers base_model: cyttic/trocr-hebrew-small-untrained tags: - generated_from_trainer metrics: - wer model-index: - name: trocr-small-2style-hh104-hh1-stage1-frozen results: [] --- <!-- 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-2style-hh104-hh1-stage1-frozen This model is a fine-tuned version of [cyttic/trocr-hebrew-small-untrained](https://huggingface.co/cyttic/trocr-hebrew-small-untrained) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 4.8153 - Cer: 0.8034 - Wer: 1.0763 ## 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 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - 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 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | Wer | |:-------------:|:------:|:----:|:---------------:|:------:|:------:| | 20.9006 | 0.2581 | 2000 | 5.1620 | 0.7917 | 1.0318 | | 20.2420 | 0.5161 | 4000 | 4.9747 | 0.8044 | 1.0749 | | 19.6095 | 0.7742 | 6000 | 4.8615 | 0.8131 | 1.1179 | | 19.3409 | 1.0 | 7750 | 4.8153 | 0.8034 | 1.0763 | ### Framework versions - Transformers 5.14.1 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2
Source context: 4 downloads · 0 likes · Pipeline image-text-to-text · Library transformers · Repo cyttic/trocr-small-2style-hh104-hh1-stage1-frozen
Source context: 34 downloads · 0 likes · Pipeline image-text-to-text · Library transformers · Repo cyttic/trocr-small-2style-hh104-hh1-stage1-frozen
