metadata
license: mit
tags:
- generated_from_trainer
base_model: cahya/distilbert-base-indonesian
model-index:
- name: results
results: []
results
This model is a fine-tuned version of cahya/distilbert-base-indonesian on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0108 | 1.0 | 40 | 0.8965 |
| 0.0808 | 2.0 | 80 | 0.0290 |
| 0.0026 | 3.0 | 120 | 0.0017 |
| 0.0014 | 4.0 | 160 | 0.0009 |
| 0.0009 | 5.0 | 200 | 0.0007 |
| 0.0007 | 6.0 | 240 | 0.0005 |
| 0.0005 | 7.0 | 280 | 0.0004 |
| 0.0004 | 8.0 | 320 | 0.0003 |
| 0.0003 | 9.0 | 360 | 0.0003 |
| 0.0003 | 10.0 | 400 | 0.0002 |
| 0.0002 | 11.0 | 440 | 0.0002 |
| 0.0002 | 12.0 | 480 | 0.0002 |
| 0.0002 | 13.0 | 520 | 0.0002 |
| 0.0001 | 14.0 | 560 | 0.0002 |
| 0.0001 | 15.0 | 600 | 0.0002 |
| 0.0001 | 16.0 | 640 | 0.0002 |
| 0.0001 | 17.0 | 680 | 0.0001 |
| 0.0001 | 18.0 | 720 | 0.0001 |
| 0.0001 | 19.0 | 760 | 0.0001 |
| 0.0001 | 20.0 | 800 | 0.0001 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1