indonesia-election-topic-classification-undersampling
This model is a fine-tuned version of indolem/indobertweet-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3829
- Balanced Accuracy: 0.6104
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: 7
Training results
Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
---|---|---|---|---|
No log | 1.0 | 200 | 1.0366 | 0.4625 |
No log | 2.0 | 400 | 0.9368 | 0.5087 |
0.8991 | 3.0 | 600 | 1.0928 | 0.5600 |
0.8991 | 4.0 | 800 | 1.3137 | 0.5789 |
0.2232 | 5.0 | 1000 | 1.3793 | 0.5956 |
0.2232 | 6.0 | 1200 | 1.3381 | 0.5985 |
0.2232 | 7.0 | 1400 | 1.3829 | 0.6104 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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