mlm-20230513-indobert-large-p1-combined-pt2
This model is a fine-tuned version of intanm/mlm-20230511-indobert-large-p1-combined-pt1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5631
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 284 | 1.7032 |
| 1.2951 | 2.0 | 568 | 1.7223 |
| 1.2951 | 3.0 | 852 | 1.6875 |
| 1.178 | 4.0 | 1136 | 1.6720 |
| 1.178 | 5.0 | 1420 | 1.6049 |
| 1.1282 | 6.0 | 1704 | 1.6413 |
| 1.1282 | 7.0 | 1988 | 1.5871 |
| 1.1464 | 8.0 | 2272 | 1.5668 |
| 1.2244 | 9.0 | 2556 | 1.5620 |
| 1.2244 | 10.0 | 2840 | 1.5776 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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