IndobertTypeNewsClassify02
This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3068
- Accuracy: 0.9491
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 192 | 0.2083 | 0.9295 |
No log | 2.0 | 384 | 0.2298 | 0.9504 |
0.1682 | 3.0 | 576 | 0.2888 | 0.9452 |
0.1682 | 4.0 | 768 | 0.3007 | 0.9465 |
0.1682 | 5.0 | 960 | 0.2916 | 0.9517 |
0.0369 | 6.0 | 1152 | 0.3068 | 0.9491 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.13.3
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