---
tags:
- generated_from_trainer
model-index:
- name: khmer-trocr-base-printed
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/rayranger/huggingface/runs/hxi1ginr)
# khmer-trocr-base-printed

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0478
- Cer: 0.4899

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.0601        | 0.4876 | 1000 | 0.0793          | 0.5256 |
| 0.0467        | 0.9751 | 2000 | 0.0706          | 0.5147 |
| 0.0242        | 1.4627 | 3000 | 0.0658          | 0.5036 |
| 0.0206        | 1.9503 | 4000 | 0.0587          | 0.5083 |
| 0.0151        | 2.4378 | 5000 | 0.0610          | 0.5104 |
| 0.0127        | 2.9254 | 6000 | 0.0521          | 0.4912 |
| 0.0059        | 3.4130 | 7000 | 0.0497          | 0.4937 |
| 0.0045        | 3.9005 | 8000 | 0.0478          | 0.4899 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1