---
library_name: transformers
license: mit
base_model: microsoft/trocr-base-handwritten
tags:
- generated_from_trainer
model-index:
- name: khmer-trcor-06-07
  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. -->

# khmer-trcor-06-07

This model is a fine-tuned version of [microsoft/trocr-base-handwritten](https://huggingface.co/microsoft/trocr-base-handwritten) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4072
- Cer: 1.2708

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.6027        | 1.0   | 421  | 2.4338          | 1.4956 |
| 2.2649        | 2.0   | 842  | 2.4139          | 1.5826 |
| 1.9528        | 3.0   | 1263 | 1.9032          | 1.0964 |
| 1.7595        | 4.0   | 1684 | 2.1433          | 1.6073 |
| 1.6215        | 5.0   | 2105 | 1.7936          | 1.5157 |
| 1.5155        | 6.0   | 2526 | 1.5710          | 1.4719 |
| 1.3982        | 7.0   | 2947 | 1.4586          | 1.3185 |
| 1.3115        | 8.0   | 3368 | 1.4665          | 1.3853 |
| 1.221         | 9.0   | 3789 | 1.3671          | 1.1767 |
| 1.1423        | 10.0  | 4210 | 1.4072          | 1.2708 |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1