metadata
base_model: kavg/TrOCR-SIN-DeiT
tags:
- generated_from_trainer
model-index:
- name: TrOCR_Printed_Sinahala_1
results: []
TrOCR_Printed_Sinahala_1
This model is a fine-tuned version of kavg/TrOCR-SIN-DeiT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6949
- Cer: 0.1689
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
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0989 | 0.0444 | 100 | 1.0041 | 0.1787 |
| 0.1265 | 0.0889 | 200 | 0.7479 | 0.2270 |
| 0.0302 | 0.1333 | 300 | 0.9396 | 0.1863 |
| 0.0483 | 0.1778 | 400 | 0.6949 | 0.1689 |
| 0.0637 | 0.2222 | 500 | 0.6022 | 0.1816 |
| 0.0726 | 0.2667 | 600 | 0.6801 | 0.2083 |
| 0.0169 | 0.3111 | 700 | 0.5828 | 0.1721 |
| 0.0084 | 0.3556 | 800 | 0.5437 | 0.1750 |
| 0.0239 | 0.4 | 900 | 0.5451 | 0.1744 |
| 0.0215 | 0.4444 | 1000 | 0.5470 | 0.1717 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1