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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

TypeModèleModèle de basecyttic/trocr-hebrew-small-untrainedVersionRevision cd39c0bBClasse

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 LossEpochStepValidation LossCerWer
21.03590.258120005.18970.78881.0248
20.33430.516140004.99470.81641.1070
19.65820.774260004.86570.81851.1002
18.23191.032380004.78990.79481.0401
18.00701.2903100004.73540.79061.0587
17.96561.5484120004.67820.78211.0497
17.64431.8065140004.63630.78581.0472
17.73502.0155004.61940.78981.0518

Framework versions

  • Transformers 5.14.1
  • Pytorch 2.10.0+cu128
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrincipalVersion cd39c0b97c0f9773b21159ff85039060115df1c6
huggingface.co/cyttic/trocr-small-1style-hh104-stage1-frozen/tree/cd39c0b97c0f9773b21159ff85039060115df1c6

Vérifié 30 oct.

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1 artefact

model.safetensors

safetensors · 897 MB · SHA-256 ab0861c86517…4b56 · Hugging Face

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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