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fine-tuned-DatasetQAS-TYDI-QA-ID-with-indobert-base-uncased-without-ITTL-without-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: 1.2532
- Exact Match: 54.3210
- F1: 68.9707
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- 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 |
---|---|---|---|---|---|
6.5175 | 0.5 | 19 | 3.9501 | 7.5838 | 20.4343 |
6.5175 | 1.0 | 38 | 2.9055 | 20.1058 | 31.7904 |
4.0122 | 1.5 | 57 | 2.4641 | 20.8113 | 34.2803 |
4.0122 | 2.0 | 76 | 2.2939 | 26.1023 | 39.8860 |
4.0122 | 2.5 | 95 | 2.1319 | 28.9242 | 40.9501 |
2.4422 | 3.0 | 114 | 2.0104 | 32.8042 | 45.3945 |
2.4422 | 3.5 | 133 | 1.9276 | 34.9206 | 47.5124 |
2.0745 | 4.0 | 152 | 1.7986 | 37.5661 | 50.2540 |
2.0745 | 4.5 | 171 | 1.7248 | 41.6226 | 55.5665 |
2.0745 | 5.0 | 190 | 1.6329 | 43.9153 | 57.2818 |
1.7428 | 5.5 | 209 | 1.5379 | 46.7372 | 61.1075 |
1.7428 | 6.0 | 228 | 1.4441 | 49.9118 | 63.9580 |
1.7428 | 6.5 | 247 | 1.3759 | 51.8519 | 65.6742 |
1.4867 | 7.0 | 266 | 1.3336 | 52.5573 | 66.5658 |
1.4867 | 7.5 | 285 | 1.3048 | 53.0864 | 67.1039 |
1.3148 | 8.0 | 304 | 1.2778 | 54.3210 | 69.0039 |
1.3148 | 8.5 | 323 | 1.2593 | 53.9683 | 68.5121 |
1.3148 | 9.0 | 342 | 1.2590 | 53.6155 | 68.3475 |
1.2395 | 9.5 | 361 | 1.2532 | 54.3210 | 68.9707 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2