metadata
tags:
- generated_from_trainer
model-index:
- name: khmer-trocr-base-printed
results: []
khmer-trocr-base-printed
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0478
- Cer: 0.4899
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: 4e-05
- train_batch_size: 8
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0601 | 0.4876 | 1000 | 0.0793 | 0.5256 |
| 0.0467 | 0.9751 | 2000 | 0.0706 | 0.5147 |
| 0.0242 | 1.4627 | 3000 | 0.0658 | 0.5036 |
| 0.0206 | 1.9503 | 4000 | 0.0587 | 0.5083 |
| 0.0151 | 2.4378 | 5000 | 0.0610 | 0.5104 |
| 0.0127 | 2.9254 | 6000 | 0.0521 | 0.4912 |
| 0.0059 | 3.4130 | 7000 | 0.0497 | 0.4937 |
| 0.0045 | 3.9005 | 8000 | 0.0478 | 0.4899 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1