autocomplete_model
This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2526
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-07
- 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 | 17 | 3.2168 |
| No log | 2.0 | 34 | 3.1874 |
| No log | 3.0 | 51 | 3.2537 |
| No log | 4.0 | 68 | 3.2260 |
| No log | 5.0 | 85 | 3.1759 |
| 3.4421 | 6.0 | 102 | 3.1777 |
| 3.4421 | 7.0 | 119 | 3.2093 |
| 3.4421 | 8.0 | 136 | 3.2277 |
| 3.4421 | 9.0 | 153 | 3.1694 |
| 3.4421 | 10.0 | 170 | 3.1333 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3