---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bookmebus-roberta-2
  results: []
widget:
- text: អ្នកបើកឡានមិនគោរពច្បាប់
- text: រហ័សទាន់ចិត្ត
---

<!-- 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. -->

# bookmebus-roberta-2

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: 2.1144
- Accuracy: 0.5

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 249  | 1.2029          | 0.4931   |
| No log        | 2.0   | 498  | 1.3241          | 0.5347   |
| 0.9919        | 3.0   | 747  | 1.3590          | 0.5      |
| 0.9919        | 4.0   | 996  | 1.4430          | 0.5139   |
| 0.7674        | 5.0   | 1245 | 1.5039          | 0.5486   |
| 0.7674        | 6.0   | 1494 | 1.6894          | 0.5208   |
| 0.5381        | 7.0   | 1743 | 1.9312          | 0.4861   |
| 0.5381        | 8.0   | 1992 | 1.9636          | 0.5208   |
| 0.3594        | 9.0   | 2241 | 2.0836          | 0.5      |
| 0.3594        | 10.0  | 2490 | 2.1144          | 0.5      |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3