metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: khmer-text-classification-roberta
results: []
khmer-text-classification-roberta
This model is a fine-tuned version of 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