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mlm-20230403-001-1
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: 0.7205
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 |
|---|---|---|---|
| 2.2253 | 1.0 | 913 | 1.6319 |
| 1.548 | 2.0 | 1826 | 1.3652 |
| 1.3394 | 3.0 | 2739 | 1.2166 |
| 1.2098 | 4.0 | 3652 | 1.1025 |
| 1.1165 | 5.0 | 4565 | 1.0387 |
| 1.0774 | 6.0 | 5478 | 0.9896 |
| 1.0021 | 7.0 | 6391 | 0.9372 |
| 0.9598 | 8.0 | 7304 | 0.9025 |
| 0.9144 | 9.0 | 8217 | 0.8720 |
| 0.8858 | 10.0 | 9130 | 0.8518 |
| 0.8561 | 11.0 | 10043 | 0.8142 |
| 0.8344 | 12.0 | 10956 | 0.8189 |
| 0.8102 | 13.0 | 11869 | 0.7833 |
| 0.7964 | 14.0 | 12782 | 0.7783 |
| 0.7834 | 15.0 | 13695 | 0.7577 |
| 0.7483 | 16.0 | 14608 | 0.7441 |
| 0.7437 | 17.0 | 15521 | 0.7408 |
| 0.7507 | 18.0 | 16434 | 0.7268 |
| 0.7382 | 19.0 | 17347 | 0.7223 |
| 0.7263 | 20.0 | 18260 | 0.7301 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
