metadata
base_model: microsoft/trocr-base-printed
tags:
- generated_from_trainer
model-index:
- name: trocr-base-printed_license_plates_ocr_timestamp
results: []
trocr-base-printed_license_plates_ocr_timestamp
This model is a fine-tuned version of microsoft/trocr-base-printed on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0631
- Cer: 0.01
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 10.4185 | 1.0 | 315 | 0.3811 | 0.0792 |
| 0.5419 | 2.0 | 630 | 0.1693 | 0.0311 |
| 0.5419 | 3.0 | 945 | 0.0963 | 0.0134 |
| 0.0944 | 4.0 | 1260 | 0.0631 | 0.01 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0