indonesia-election-topic-classification-undersampling-large
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: 2.3062
- Balanced Accuracy: 0.6053
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 | 1.1476 | 0.4857 |
No log | 2.0 | 374 | 1.3623 | 0.4433 |
0.9843 | 3.0 | 561 | 1.4432 | 0.5252 |
0.9843 | 4.0 | 748 | 1.8218 | 0.4996 |
0.9843 | 5.0 | 935 | 1.8608 | 0.5931 |
0.2396 | 6.0 | 1122 | 2.2544 | 0.5836 |
0.2396 | 7.0 | 1309 | 2.2014 | 0.5856 |
0.2396 | 8.0 | 1496 | 2.2290 | 0.5998 |
0.0584 | 9.0 | 1683 | 2.2875 | 0.6036 |
0.0584 | 10.0 | 1870 | 2.3062 | 0.6053 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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