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mlm-20230404-001-2
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6712
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 203 | 4.8333 |
| No log | 2.0 | 406 | 4.1204 |
| 5.0807 | 3.0 | 609 | 3.7397 |
| 5.0807 | 4.0 | 812 | 3.5191 |
| 3.6349 | 5.0 | 1015 | 3.3306 |
| 3.6349 | 6.0 | 1218 | 3.2312 |
| 3.6349 | 7.0 | 1421 | 3.0555 |
| 3.1436 | 8.0 | 1624 | 2.9527 |
| 3.1436 | 9.0 | 1827 | 3.0033 |
| 2.8913 | 10.0 | 2030 | 2.8863 |
| 2.8913 | 11.0 | 2233 | 2.9222 |
| 2.8913 | 12.0 | 2436 | 2.8261 |
| 2.7111 | 13.0 | 2639 | 2.8103 |
| 2.7111 | 14.0 | 2842 | 2.7710 |
| 2.6147 | 15.0 | 3045 | 2.7576 |
| 2.6147 | 16.0 | 3248 | 2.7427 |
| 2.6147 | 17.0 | 3451 | 2.7259 |
| 2.5106 | 18.0 | 3654 | 2.6895 |
| 2.5106 | 19.0 | 3857 | 2.6798 |
| 2.4705 | 20.0 | 4060 | 2.6778 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
