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mlm-20230503-indobert-base-p2-002
This model is a fine-tuned version of indobenchmark/indobert-base-p2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9160
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 | 284 | 4.0534 |
| 4.7356 | 2.0 | 568 | 3.3071 |
| 4.7356 | 3.0 | 852 | 2.9974 |
| 3.166 | 4.0 | 1136 | 2.7331 |
| 3.166 | 5.0 | 1420 | 2.5351 |
| 2.6688 | 6.0 | 1704 | 2.4613 |
| 2.6688 | 7.0 | 1988 | 2.3245 |
| 2.4034 | 8.0 | 2272 | 2.2535 |
| 2.2327 | 9.0 | 2556 | 2.2014 |
| 2.2327 | 10.0 | 2840 | 2.1630 |
| 2.0986 | 11.0 | 3124 | 2.1237 |
| 2.0986 | 12.0 | 3408 | 2.0577 |
| 2.0 | 13.0 | 3692 | 2.0044 |
| 2.0 | 14.0 | 3976 | 2.0466 |
| 1.9237 | 15.0 | 4260 | 1.9496 |
| 1.8744 | 16.0 | 4544 | 1.9517 |
| 1.8744 | 17.0 | 4828 | 1.9466 |
| 1.8342 | 18.0 | 5112 | 1.8942 |
| 1.8342 | 19.0 | 5396 | 1.9457 |
| 1.7994 | 20.0 | 5680 | 1.9262 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
