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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: swinv2-ocr-finetuned-panjabi
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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
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