IS557_TrOCR_dutch
This model is a fine-tuned version of ShuyiGuo/IS557_TrOCR_AllData on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0843
- Cer: 0.1661
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Cer |
---|---|---|---|---|
2.5052 | 0.3436 | 200 | 2.4755 | 0.4603 |
2.229 | 0.6873 | 400 | 2.0362 | 0.3556 |
1.4698 | 1.0309 | 600 | 1.6708 | 0.2893 |
1.1727 | 1.3746 | 800 | 1.4876 | 0.2616 |
1.3044 | 1.7182 | 1000 | 1.3246 | 0.2158 |
0.7114 | 2.0619 | 1200 | 1.1953 | 0.1867 |
0.6231 | 2.4055 | 1400 | 1.1291 | 0.1781 |
0.5886 | 2.7491 | 1600 | 1.0843 | 0.1661 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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