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Trocr Warm 3style Hh104 Hh1 Hh2

This model is a fine-tuned version of cyttic/exp2-frozen-benyehuda-cont on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.5464 Cer: 0.0324 Wer: 0.0866

Fuentehuggingface.co/cyttic/trocr-warm-3style-hh104-hh1-hh2/tree/6a0dcf9645e41d17d1ad93bc7bb7470b8d20f355
TipoOtherModelo basecyttic/exp2-frozen-benyehuda-contVersiónRevision 6a0dcf9Bcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
1,12 GB
Modelo base
cyttic/exp2-frozen-benyehuda-cont
Versión
vRevision 6a0dcf9
Actualizado
23 oct 2026
Descargas
5
Fuente
Hugging Face

Descripción de la fuente

trocr-warm-3style-hh104-hh1-hh2

This model is a fine-tuned version of cyttic/exp2-frozen-benyehuda-cont on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5464
  • Cer: 0.0324
  • Wer: 0.0866

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
  • num_epochs: 2

Training results

Training LossEpochStepValidation LossCerWer
5.02340.129020002.20490.21560.4321
3.42430.258140001.52380.13210.2891
2.87990.387160001.26770.09860.2294
2.21270.516180001.08140.07930.1918
2.11430.6452100000.94440.06440.1596
1.77730.7742120000.83800.05680.1433
1.64810.9032140000.76570.05030.1300
1.35751.0323160000.70910.04680.1201
1.19071.1613180000.66910.04180.1103
1.16251.2903200000.64040.03930.1049
1.21721.4194220000.61360.03730.0990
1.02581.5484240000.58800.03570.0944
1.03591.6774260000.57110.03420.0915
1.05391.8065280000.55880.03370.0896
1.02781.9355300000.54780.03230.0866
0.96862.0310000.54640.03240.0866

Framework versions

  • Transformers 5.14.1
  • Pytorch 2.11.0+cu128
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Fuentes

1 fuente
Hugging FacePrincipalVersión 6a0dcf9645e41d17d1ad93bc7bb7470b8d20f355
huggingface.co/cyttic/trocr-warm-3style-hh104-hh1-hh2/tree/6a0dcf9645e41d17d1ad93bc7bb7470b8d20f355

Verificado 23 oct

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 1,12 GB · SHA-256 cc50b89f4ab3…d458 · Hugging Face

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Extractos de fuentes

3 extractos
Readme6 agohuggingface.co/cyttic/trocr-warm-3style-hh104-hh1-hh2

--- library_name: transformers base_model: cyttic/exp2-frozen-benyehuda-cont tags: - generated_from_trainer metrics: - wer model-index: - name: trocr-warm-3style-hh104-hh1-hh2 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-warm-3style-hh104-hh1-hh2 This model is a fine-tuned version of [cyttic/exp2-frozen-benyehuda-cont](https://huggingface.co/cyttic/exp2-frozen-benyehuda-cont) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5464 - Cer: 0.0324 - Wer: 0.0866 ## 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 - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | Wer | |:-------------:|:------:|:-----:|:---------------:|:------:|:------:| | 5.0234 | 0.1290 | 2000 | 2.2049 | 0.2156 | 0.4321 | | 3.4243 | 0.2581 | 4000 | 1.5238 | 0.1321 | 0.2891 | | 2.8799 | 0.3871 | 6000 | 1.2677 | 0.0986 | 0.2294 | | 2.2127 | 0.5161 | 8000 | 1.0814 | 0.0793 | 0.1918 | | 2.1143 | 0.6452 | 10000 | 0.9444 | 0.0644 | 0.1596 | | 1.7773 | 0.7742 | 12000 | 0.8380 | 0.0568 | 0.1433 | | 1.6481 | 0.9032 | 14000 | 0.7657 | 0.0503 | 0.1300 | | 1.3575 | 1.0323 | 16000 | 0.7091 | 0.0468 | 0.1201 | | 1.1907 | 1.1613 | 18000 | 0.6691 | 0.0418 | 0.1103 | | 1.1625 | 1.2903 | 20000 | 0.6404 | 0.0393 | 0.1049 | | 1.2172 | 1.4194 | 22000 | 0.6136 | 0.0373 | 0.0990 | | 1.0258 | 1.5484 | 24000 | 0.5880 | 0.0357 | 0.0944 | | 1.0359 | 1.6774 | 26000 | 0.5711 | 0.0342 | 0.0915 | | 1.0539 | 1.8065 | 28000 | 0.5588 | 0.0337 | 0.0896 | | 1.0278 | 1.9355 | 30000 | 0.5478 | 0.0323 | 0.0866 | | 0.9686 | 2.0 | 31000 | 0.5464 | 0.0324 | 0.0866 | ### Framework versions - Transformers 5.14.1 - Pytorch 2.11....

Note23 octhuggingface.co/cyttic/trocr-warm-3style-hh104-hh1-hh2

Source context: 5 downloads · 0 likes · Pipeline image-text-to-text · Library transformers · Repo cyttic/trocr-warm-3style-hh104-hh1-hh2

Note6 agohuggingface.co/cyttic/trocr-warm-3style-hh104-hh1-hh2

Source context: 52 downloads · 0 likes · Pipeline image-text-to-text · Library transformers · Repo cyttic/trocr-warm-3style-hh104-hh1-hh2