indonesia-election-topic-classification-undersampling-indolem
This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1587
- Balanced Accuracy: 0.5839
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: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
---|---|---|---|---|
No log | 1.0 | 187 | 1.3541 | 0.3678 |
No log | 2.0 | 374 | 1.2195 | 0.4612 |
1.2705 | 3.0 | 561 | 1.3176 | 0.4727 |
1.2705 | 4.0 | 748 | 1.3453 | 0.4909 |
1.2705 | 5.0 | 935 | 1.7968 | 0.5199 |
0.457 | 6.0 | 1122 | 1.9479 | 0.5272 |
0.457 | 7.0 | 1309 | 2.1095 | 0.5735 |
0.457 | 8.0 | 1496 | 2.1587 | 0.5839 |
0.1388 | 9.0 | 1683 | 2.1997 | 0.5762 |
0.1388 | 10.0 | 1870 | 2.2164 | 0.5799 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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