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fine-tuned-IndoNLI-Augmented-with-indobert-base-uncased
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: 0.9276
- Accuracy: 0.8014
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: 1e-05
- train_batch_size: 64
- 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_ratio: 0.06
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6316 | 1.0 | 6298 | 0.6317 | 0.7414 |
| 0.5501 | 2.0 | 12596 | 0.5378 | 0.7888 |
| 0.4978 | 3.0 | 18894 | 0.5407 | 0.7948 |
| 0.4193 | 4.0 | 25192 | 0.5259 | 0.8013 |
| 0.3766 | 5.0 | 31490 | 0.5447 | 0.8042 |
| 0.328 | 6.0 | 37788 | 0.5820 | 0.8023 |
| 0.2792 | 7.0 | 44086 | 0.6435 | 0.8012 |
| 0.261 | 8.0 | 50384 | 0.6578 | 0.8008 |
| 0.2071 | 9.0 | 56682 | 0.7064 | 0.8052 |
| 0.2004 | 10.0 | 62980 | 0.7446 | 0.8013 |
| 0.1657 | 11.0 | 69278 | 0.7735 | 0.8044 |
| 0.1729 | 12.0 | 75576 | 0.8078 | 0.8027 |
| 0.1399 | 13.0 | 81874 | 0.8660 | 0.8010 |
| 0.132 | 14.0 | 88172 | 0.8871 | 0.8006 |
| 0.1218 | 15.0 | 94470 | 0.9182 | 0.8001 |
| 0.1066 | 16.0 | 100768 | 0.9276 | 0.8014 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2
