mlm-20230416-003-1
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: 2.3201
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 | 330 | 4.2545 |
| 5.0912 | 2.0 | 660 | 3.6314 |
| 5.0912 | 3.0 | 990 | 3.2435 |
| 3.7016 | 4.0 | 1320 | 3.0558 |
| 3.22 | 5.0 | 1650 | 2.9062 |
| 3.22 | 6.0 | 1980 | 2.8126 |
| 2.946 | 7.0 | 2310 | 2.6621 |
| 2.7682 | 8.0 | 2640 | 2.5513 |
| 2.7682 | 9.0 | 2970 | 2.5651 |
| 2.624 | 10.0 | 3300 | 2.5347 |
| 2.5466 | 11.0 | 3630 | 2.4664 |
| 2.5466 | 12.0 | 3960 | 2.4375 |
| 2.4496 | 13.0 | 4290 | 2.4663 |
| 2.395 | 14.0 | 4620 | 2.3948 |
| 2.395 | 15.0 | 4950 | 2.4003 |
| 2.3377 | 16.0 | 5280 | 2.3072 |
| 2.2881 | 17.0 | 5610 | 2.3502 |
| 2.2881 | 18.0 | 5940 | 2.3236 |
| 2.2659 | 19.0 | 6270 | 2.3138 |
| 2.2419 | 20.0 | 6600 | 2.3359 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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