ocr-pemilu
This model is a fine-tuned version of microsoft/trocr-small-handwritten on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.2413
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2183 | 1.0 | 1860 | 9.2413 |
| 1.8633 | 2.0 | 3720 | 9.5521 |
| 1.5612 | 3.0 | 5580 | 11.4981 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Downloads last month
- 2
Inference API (serverless) does not yet support transformers models for this pipeline type.
Model tree for Amadeus99/ocr-pemilu
Base model
microsoft/trocr-small-handwritten