---
library_name: transformers
base_model: microsoft/trocr-large-handwritten
tags:
- generated_from_trainer
model-index:
- name: khmer-trcor-06-10
  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-06-10

This model is a fine-tuned version of [microsoft/trocr-large-handwritten](https://huggingface.co/microsoft/trocr-large-handwritten) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5120
- Cer: 1.1296

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.2707        | 1.0   | 421  | 1.8001          | 1.0595 |
| 1.4225        | 2.0   | 842  | 1.0641          | 1.2515 |
| 0.9113        | 3.0   | 1263 | 1.3930          | 0.9610 |
| 0.721         | 4.0   | 1684 | 0.6549          | 1.0352 |
| 0.576         | 5.0   | 2105 | 0.5763          | 1.0628 |
| 0.4802        | 6.0   | 2526 | 0.5346          | 1.0413 |
| 0.3847        | 7.0   | 2947 | 0.5003          | 1.1258 |
| 0.3019        | 8.0   | 3368 | 0.5120          | 1.1296 |


### Framework versions

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