cyttic / trocr-bigram5-lentrunc

huggingface.co
Total runs: 34
24-hour runs: 0
7-day runs: 8
30-day runs: 33
Model's Last Updated: September 09 2026
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Introduction of trocr-bigram5-lentrunc

Model Details of trocr-bigram5-lentrunc

trocr-bigram5-lentrunc

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: 0.3604
  • Cer: 0.0205
  • Wer: 0.0584
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: 4650
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Cer Wer
4.7708 0.1290 2000 2.3792 0.2069 0.4211
3.5688 0.2581 4000 1.6457 0.1326 0.3034
2.6281 0.3871 6000 1.2726 0.1018 0.2408
2.4209 0.5161 8000 1.0654 0.0818 0.1989
1.8799 0.6452 10000 0.9121 0.0681 0.1708
1.7538 0.7742 12000 0.8169 0.0571 0.1464
1.6138 0.9032 14000 0.7307 0.0527 0.1356
1.2246 1.0323 16000 0.6595 0.0443 0.1165
1.1681 1.1613 18000 0.6062 0.0403 0.1089
1.0557 1.2903 20000 0.5747 0.0378 0.1019
0.9707 1.4194 22000 0.5402 0.0343 0.0923
0.9284 1.5484 24000 0.5028 0.0316 0.0872
0.8654 1.6774 26000 0.4761 0.0302 0.0819
0.8459 1.8065 28000 0.4524 0.0271 0.0781
0.8298 1.9355 30000 0.4345 0.0256 0.0712
0.5770 2.0645 32000 0.4196 0.0262 0.0712
0.5775 2.1935 34000 0.4062 0.0263 0.0704
0.4802 2.3226 36000 0.3955 0.0242 0.0661
0.6221 2.4516 38000 0.3833 0.0228 0.0633
0.5440 2.5806 40000 0.3799 0.0224 0.0629
0.6317 2.7097 42000 0.3702 0.0214 0.0608
0.5272 2.8387 44000 0.3645 0.0212 0.0605
0.5501 2.9677 46000 0.3605 0.0204 0.0584
0.5624 3.0 46500 0.3604 0.0205 0.0584
Framework versions
  • Transformers 5.15.0
  • Pytorch 2.11.0+cu128
  • Datasets 5.0.1
  • Tokenizers 0.22.2

Runs of cyttic trocr-bigram5-lentrunc on huggingface.co

34
Total runs
0
24-hour runs
3
3-day runs
8
7-day runs
33
30-day runs

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trocr-bigram5-lentrunc huggingface.co is an AI model on huggingface.co that provides trocr-bigram5-lentrunc's model effect (), which can be used instantly with this cyttic trocr-bigram5-lentrunc model. huggingface.co supports a free trial of the trocr-bigram5-lentrunc model, and also provides paid use of the trocr-bigram5-lentrunc. Support call trocr-bigram5-lentrunc model through api, including Node.js, Python, http.

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trocr-bigram5-lentrunc install

trocr-bigram5-lentrunc is an open source model from GitHub that offers a free installation service, and any user can find trocr-bigram5-lentrunc on GitHub to install. At the same time, huggingface.co provides the effect of trocr-bigram5-lentrunc install, users can directly use trocr-bigram5-lentrunc installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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