---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: khmer-text-classification-roberta
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# khmer-text-classification-roberta

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8290
- Accuracy: 0.6477

## 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: 2e-05
- train_batch_size: 44
- eval_batch_size: 44
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.983         | 1.0   | 1228 | 0.8927          | 0.6327   |
| 0.8734        | 2.0   | 2456 | 0.8639          | 0.6417   |
| 0.8008        | 3.0   | 3684 | 0.8296          | 0.648    |
| 0.7483        | 4.0   | 4912 | 0.8290          | 0.6477   |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3