metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: swinv2-ocr-finetuned-panjabi
results: []
swinv2-ocr-finetuned-panjabi
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3457
- Cer: 1.0
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.8961 | 1.0 | 5883 | 1.6239 | 1.0 |
| 0.7295 | 2.0 | 11766 | 1.4693 | 1.0 |
| 0.5127 | 3.0 | 17649 | 1.4575 | 1.0 |
| 0.3661 | 4.0 | 23532 | 1.4469 | 1.0 |
| 0.3952 | 5.0 | 29415 | 1.4075 | 1.0 |
| 0.2733 | 6.0 | 35298 | 1.4193 | 1.0 |
| 0.1959 | 7.0 | 41181 | 1.3834 | 1.0 |
| 0.1422 | 8.0 | 47064 | 1.4467 | 1.0 |
| 0.0834 | 9.0 | 52947 | 1.3748 | 1.0 |
| 0.0703 | 10.0 | 58830 | 1.3457 | 1.0 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.5.1+cu118
- Datasets 2.20.0
- Tokenizers 0.20.1