cyttic / trocr-bigram4-BY-450k

huggingface.co
Total runs: 12
24-hour runs: -21
7-day runs: -21
30-day runs: 12
Model's Last Updated: September 03 2026
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Introduction of trocr-bigram4-BY-450k

Model Details of trocr-bigram4-BY-450k

trocr-bigram4-BY-450k

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: 0.3969
  • Cer: 0.0154
  • Wer: 0.0479
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: 8400
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Cer Wer
4.0171 0.0714 2000 1.7101 0.2032 0.4148
3.1964 0.1429 4000 1.3900 0.1315 0.2951
2.8672 0.2143 6000 1.2906 0.1099 0.2564
2.7257 0.2857 8000 1.1934 0.0993 0.2372
2.3802 0.3571 10000 1.0854 0.0801 0.2089
2.2460 0.4286 12000 0.9850 0.0716 0.1887
2.1261 0.5 14000 0.9230 0.0641 0.1727
2.0339 0.5714 16000 0.8716 0.0590 0.1564
1.9418 0.6429 18000 0.8187 0.0498 0.1379
1.8719 0.7143 20000 0.7716 0.0456 0.1267
1.7357 0.7857 22000 0.7384 0.0442 0.1271
1.7185 0.8571 24000 0.7005 0.0414 0.1184
1.6163 0.9286 26000 0.6719 0.0365 0.1075
1.5521 1.0 28000 0.6427 0.0322 0.0990
1.2175 1.0714 30000 0.6224 0.0351 0.0988
1.2979 1.1429 32000 0.5963 0.0322 0.0929
1.1303 1.2143 34000 0.5869 0.0301 0.0890
1.0653 1.2857 36000 0.5731 0.0285 0.0860
1.1797 1.3571 38000 0.5536 0.0255 0.0782
1.1670 1.4286 40000 0.5495 0.0272 0.0812
0.9935 1.5 42000 0.5208 0.0243 0.0746
1.0177 1.5714 44000 0.5122 0.0241 0.0730
1.0507 1.6429 46000 0.4999 0.0242 0.0740
0.9875 1.7143 48000 0.4906 0.0222 0.0679
0.9788 1.7857 50000 0.4825 0.0192 0.0623
0.9224 1.8571 52000 0.4694 0.0193 0.0620
0.9621 1.9286 54000 0.4567 0.0196 0.0600
0.9634 2.0 56000 0.4493 0.0178 0.0563
0.8980 2.0714 58000 0.4430 0.0188 0.0579
0.7686 2.1429 60000 0.4360 0.0195 0.0571
0.7952 2.2143 62000 0.4306 0.0187 0.0565
0.7972 2.2857 64000 0.4282 0.0179 0.0550
0.7620 2.3571 66000 0.4236 0.0184 0.0555
0.7173 2.4286 68000 0.4195 0.0174 0.0540
0.7364 2.5 70000 0.4131 0.0173 0.0526
0.7875 2.5714 72000 0.4133 0.0170 0.0529
0.7530 2.6429 74000 0.4079 0.0172 0.0521
0.7464 2.7143 76000 0.4041 0.0168 0.0517
0.7617 2.7857 78000 0.4019 0.0165 0.0510
0.7221 2.8571 80000 0.4005 0.0164 0.0503
0.7381 2.9286 82000 0.3979 0.0163 0.0502
0.7615 3.0 84000 0.3969 0.0154 0.0479
Framework versions
  • Transformers 5.15.0
  • Pytorch 2.11.0+cu128
  • Datasets 5.0.1
  • Tokenizers 0.22.2

Runs of cyttic trocr-bigram4-BY-450k on huggingface.co

12
Total runs
-21
24-hour runs
-21
3-day runs
-21
7-day runs
12
30-day runs

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