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mlm-20230405-002-3
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: 2.5498
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 | 261 | 4.6412 |
| 5.1283 | 2.0 | 522 | 3.9156 |
| 5.1283 | 3.0 | 783 | 3.5559 |
| 3.6421 | 4.0 | 1044 | 3.2988 |
| 3.6421 | 5.0 | 1305 | 3.1616 |
| 3.1926 | 6.0 | 1566 | 3.0551 |
| 3.1926 | 7.0 | 1827 | 2.9465 |
| 2.9067 | 8.0 | 2088 | 2.9188 |
| 2.9067 | 9.0 | 2349 | 2.8833 |
| 2.7245 | 10.0 | 2610 | 2.7818 |
| 2.7245 | 11.0 | 2871 | 2.6725 |
| 2.5946 | 12.0 | 3132 | 2.7569 |
| 2.5946 | 13.0 | 3393 | 2.6592 |
| 2.5204 | 14.0 | 3654 | 2.6180 |
| 2.5204 | 15.0 | 3915 | 2.6305 |
| 2.4173 | 16.0 | 4176 | 2.6301 |
| 2.4173 | 17.0 | 4437 | 2.5706 |
| 2.3905 | 18.0 | 4698 | 2.5595 |
| 2.3905 | 19.0 | 4959 | 2.5339 |
| 2.3455 | 20.0 | 5220 | 2.5753 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
