metadata
license: mit
tags:
- generated_from_trainer
base_model: indobenchmark/indobert-large-p2
model-index:
- name: indonesia-election-topic-classification-undersampling-large-2
results: []
indonesia-election-topic-classification-undersampling-large-2
This model is a fine-tuned version of indobenchmark/indobert-large-p2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0874
- Balanced Accuracy: 0.6049
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 14
Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 187 | 1.1670 | 0.4974 |
| No log | 2.0 | 374 | 1.3128 | 0.4972 |
| 1.0656 | 3.0 | 561 | 1.2442 | 0.5636 |
| 1.0656 | 4.0 | 748 | 1.7556 | 0.5466 |
| 1.0656 | 5.0 | 935 | 1.9800 | 0.5699 |
| 0.3247 | 6.0 | 1122 | 2.0874 | 0.6049 |
| 0.3247 | 7.0 | 1309 | 2.3579 | 0.5744 |
| 0.3247 | 8.0 | 1496 | 2.2183 | 0.5861 |
| 0.0899 | 9.0 | 1683 | 2.2655 | 0.5765 |
| 0.0899 | 10.0 | 1870 | 2.3765 | 0.5875 |
| 0.0534 | 11.0 | 2057 | 2.3331 | 0.5971 |
| 0.0534 | 12.0 | 2244 | 2.4197 | 0.5922 |
| 0.0534 | 13.0 | 2431 | 2.4430 | 0.5983 |
| 0.031 | 14.0 | 2618 | 2.4522 | 0.5979 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1