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fine-tuned-DatasetQAS-IDK-MRC-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: 1.0844
- Exact Match: 65.5759
- F1: 70.8360
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- 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 |
---|---|---|---|---|---|
6.4526 | 0.49 | 36 | 2.4554 | 49.8691 | 49.8691 |
3.7633 | 0.98 | 72 | 1.9974 | 49.7382 | 49.7438 |
2.2184 | 1.47 | 108 | 1.8592 | 49.7382 | 50.4880 |
2.2184 | 1.96 | 144 | 1.7572 | 49.3455 | 51.5995 |
2.0352 | 2.45 | 180 | 1.6433 | 49.3455 | 54.2883 |
1.8246 | 2.94 | 216 | 1.5385 | 54.0576 | 57.3719 |
1.6495 | 3.43 | 252 | 1.4355 | 57.9843 | 62.1664 |
1.6495 | 3.92 | 288 | 1.3803 | 57.7225 | 62.1946 |
1.5079 | 4.41 | 324 | 1.3151 | 57.4607 | 63.1030 |
1.3449 | 4.9 | 360 | 1.2581 | 59.2932 | 65.0643 |
1.3449 | 5.39 | 396 | 1.1867 | 62.1728 | 67.8726 |
1.2429 | 5.88 | 432 | 1.1721 | 63.0890 | 68.1874 |
1.1547 | 6.37 | 468 | 1.1433 | 64.2670 | 69.1473 |
1.0805 | 6.86 | 504 | 1.1245 | 64.5288 | 69.0480 |
1.0805 | 7.35 | 540 | 1.0896 | 65.8377 | 70.8688 |
1.0457 | 7.84 | 576 | 1.0936 | 66.0995 | 70.8063 |
1.0152 | 8.33 | 612 | 1.0979 | 65.9686 | 70.8546 |
1.0152 | 8.82 | 648 | 1.0924 | 65.8377 | 71.0837 |
0.9966 | 9.31 | 684 | 1.0849 | 65.4450 | 70.6378 |
0.965 | 9.8 | 720 | 1.0844 | 65.5759 | 70.8360 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2