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fine-tuned-DatasetQAS-Squad-ID-with-indobert-base-uncased-with-ITTL-with-freeze-LR-1e-05
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: 1.5175
- Exact Match: 48.5572
- F1: 65.0249
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 128
- 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 | Exact Match | F1 |
|---|---|---|---|---|---|
| 2.0255 | 0.5 | 463 | 1.8578 | 38.8323 | 53.2780 |
| 1.8396 | 1.0 | 926 | 1.6659 | 43.2069 | 59.4121 |
| 1.6258 | 1.5 | 1389 | 1.5971 | 45.0913 | 61.6718 |
| 1.5939 | 2.0 | 1852 | 1.5523 | 46.3447 | 62.8415 |
| 1.4904 | 2.5 | 2315 | 1.5345 | 46.9589 | 63.7167 |
| 1.5015 | 3.0 | 2778 | 1.5060 | 47.4889 | 64.4261 |
| 1.3787 | 3.5 | 3241 | 1.5092 | 47.7833 | 64.2215 |
| 1.3629 | 4.0 | 3704 | 1.4885 | 48.0273 | 64.6938 |
| 1.3229 | 4.5 | 4167 | 1.5174 | 48.2712 | 64.9266 |
| 1.2848 | 5.0 | 4630 | 1.4942 | 48.4899 | 64.9576 |
| 1.2703 | 5.5 | 5093 | 1.5074 | 48.5657 | 65.0539 |
| 1.2104 | 6.0 | 5556 | 1.5112 | 48.1114 | 64.6513 |
| 1.1775 | 6.5 | 6019 | 1.5004 | 48.1534 | 64.8169 |
| 1.2303 | 7.0 | 6482 | 1.4956 | 48.4647 | 65.0723 |
| 1.1673 | 7.5 | 6945 | 1.5151 | 48.5825 | 65.0862 |
| 1.1771 | 8.0 | 7408 | 1.5057 | 48.5657 | 65.0123 |
| 1.1172 | 8.5 | 7871 | 1.5286 | 48.4311 | 64.7537 |
| 1.1282 | 9.0 | 8334 | 1.5175 | 48.5572 | 65.0249 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2
