x_rotatedv3
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1343
- Cer: 0.0411
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2937 | 1.0 | 535 | 0.1840 | 0.0551 |
| 0.1758 | 2.0 | 1070 | 0.1474 | 0.0466 |
| 0.1214 | 3.0 | 1605 | 0.1315 | 0.0428 |
| 0.0852 | 4.0 | 2140 | 0.1343 | 0.0411 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3