Trocr Small 1style Hh104 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: 4.6194 Cer: 0.7898 Wer: 1.0518
Source du modèle
- Type
- Modèle
- Taille du fichier
- 897 MB
- Modèle de base
- cyttic/trocr-hebrew-small-untrained
- Version
- vRevision cd39c0b
- Mis à jour
- 30 oct. 2026
- Téléchargements
- 9
- Source
- Hugging Face
Description de la source
trocr-small-1style-hh104-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: 4.6194
- Cer: 0.7898
- Wer: 1.0518
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 21.0359 | 0.2581 | 2000 | 5.1897 | 0.7888 | 1.0248 |
| 20.3343 | 0.5161 | 4000 | 4.9947 | 0.8164 | 1.1070 |
| 19.6582 | 0.7742 | 6000 | 4.8657 | 0.8185 | 1.1002 |
| 18.2319 | 1.0323 | 8000 | 4.7899 | 0.7948 | 1.0401 |
| 18.0070 | 1.2903 | 10000 | 4.7354 | 0.7906 | 1.0587 |
| 17.9656 | 1.5484 | 12000 | 4.6782 | 0.7821 | 1.0497 |
| 17.6443 | 1.8065 | 14000 | 4.6363 | 0.7858 | 1.0472 |
| 17.7350 | 2.0 | 15500 | 4.6194 | 0.7898 | 1.0518 |
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 30 oct.
Download files
Repository files
File inventory only; completeness is unverified.
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-1style-hh104-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-1style-hh104-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: 4.6194 - Cer: 0.7898 - Wer: 1.0518 ## 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: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | Wer | |:-------------:|:------:|:-----:|:---------------:|:------:|:------:| | 21.0359 | 0.2581 | 2000 | 5.1897 | 0.7888 | 1.0248 | | 20.3343 | 0.5161 | 4000 | 4.9947 | 0.8164 | 1.1070 | | 19.6582 | 0.7742 | 6000 | 4.8657 | 0.8185 | 1.1002 | | 18.2319 | 1.0323 | 8000 | 4.7899 | 0.7948 | 1.0401 | | 18.0070 | 1.2903 | 10000 | 4.7354 | 0.7906 | 1.0587 | | 17.9656 | 1.5484 | 12000 | 4.6782 | 0.7821 | 1.0497 | | 17.6443 | 1.8065 | 14000 | 4.6363 | 0.7858 | 1.0472 | | 17.7350 | 2.0 | 15500 | 4.6194 | 0.7898 | 1.0518 | ### Framework versions - Transformers 5.14.1 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2
Source context: 9 downloads · 0 likes · Pipeline image-text-to-text · Library transformers · Repo cyttic/trocr-small-1style-hh104-stage1-frozen
Source context: 35 downloads · 0 likes · Pipeline image-text-to-text · Library transformers · Repo cyttic/trocr-small-1style-hh104-stage1-frozen
