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trocr-small-printed_for_my_license_plates
This model is a fine-tuned version of microsoft/trocr-small-printed on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0645
- Cer: 0.0032
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 13.6251 | 1.0 | 82 | 0.4981 | 0.0560 |
| 13.6251 | 2.0 | 164 | 0.3409 | 0.0210 |
| 13.6251 | 3.0 | 246 | 0.0863 | 0.0095 |
| 13.6251 | 4.0 | 328 | 0.0800 | 0.0038 |
| 13.6251 | 5.0 | 410 | 0.0645 | 0.0032 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
