mlm-20230510-indobert-large-p1-001-pt2
This model is a fine-tuned version of intanm/mlm-20230503-indobert-large-p1-001 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0818
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 | 333 | 2.4107 |
| 1.9893 | 2.0 | 666 | 2.3410 |
| 1.9893 | 3.0 | 999 | 2.3118 |
| 1.7566 | 4.0 | 1332 | 2.2965 |
| 1.654 | 5.0 | 1665 | 2.1781 |
| 1.654 | 6.0 | 1998 | 2.1757 |
| 1.601 | 7.0 | 2331 | 2.1280 |
| 1.6437 | 8.0 | 2664 | 2.1664 |
| 1.6437 | 9.0 | 2997 | 2.1523 |
| 1.679 | 10.0 | 3330 | 2.1121 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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