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fine-tuned-DatasetQAS-Squad-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: 1.6966
- Exact Match: 45.0886
- F1: 61.6033
- Precision: 63.1410
- Recall: 67.2829
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 | Exact Match | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 2.4337 | 0.5 | 1023 | 2.2704 | 30.4084 | 43.3793 | 45.1001 | 51.7593 |
| 1.8609 | 1.0 | 2046 | 1.8600 | 39.3745 | 56.3414 | 57.5512 | 63.3710 |
| 1.6152 | 1.5 | 3069 | 1.7283 | 41.8614 | 58.9008 | 60.4703 | 65.7497 |
| 1.5351 | 2.0 | 4092 | 1.6703 | 43.7661 | 61.0546 | 62.5984 | 66.7544 |
| 1.3952 | 2.5 | 5115 | 1.6566 | 44.0073 | 61.0769 | 62.7069 | 66.3452 |
| 1.3943 | 3.0 | 6138 | 1.6498 | 44.7309 | 62.0362 | 62.9790 | 68.2142 |
| 1.2659 | 3.5 | 7161 | 1.6441 | 44.8557 | 61.5081 | 62.8213 | 67.5871 |
| 1.2784 | 4.0 | 8184 | 1.6347 | 45.1302 | 61.9251 | 63.3021 | 67.6987 |
| 1.1424 | 4.5 | 9207 | 1.6966 | 45.0886 | 61.6033 | 63.1410 | 67.2829 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2
