trocr-barbados-fold4
This model is a fine-tuned version of microsoft/trocr-base-handwritten on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8874
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 205 | 1.2029 |
| No log | 2.0 | 410 | 1.0721 |
| 2.9849 | 3.0 | 615 | 0.9898 |
| 2.9849 | 4.0 | 820 | 1.0049 |
| 1.1642 | 5.0 | 1025 | 0.9433 |
| 1.1642 | 6.0 | 1230 | 0.9183 |
| 1.1642 | 7.0 | 1435 | 0.9234 |
| 0.5496 | 8.0 | 1640 | 0.9214 |
| 0.5496 | 9.0 | 1845 | 0.9069 |
| 0.2576 | 10.0 | 2050 | 0.9175 |
| 0.2576 | 11.0 | 2255 | 0.9017 |
| 0.2576 | 12.0 | 2460 | 0.8912 |
| 0.1159 | 13.0 | 2665 | 0.8914 |
| 0.1159 | 14.0 | 2870 | 0.8935 |
| 0.0575 | 15.0 | 3075 | 0.8874 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2