indonesia-election-topic-classification-imb
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: 1.6994
- Balanced Accuracy: 0.5060
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 | 446 | 1.4796 | 0.4452 |
1.4841 | 2.0 | 892 | 1.5723 | 0.4675 |
0.927 | 3.0 | 1338 | 1.6994 | 0.5060 |
0.5969 | 4.0 | 1784 | 2.2314 | 0.4618 |
0.3421 | 5.0 | 2230 | 2.5182 | 0.4575 |
0.1651 | 6.0 | 2676 | 2.7339 | 0.4903 |
0.1249 | 7.0 | 3122 | 2.7546 | 0.4932 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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