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fine-tuned-DatasetQAS-Squad-ID-with-indobert-large-p2-without-ITTL-without-freeze-LR-1e-05
This model is a fine-tuned version of indobenchmark/indobert-large-p2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5397
- Exact Match: 47.8725
- F1: 64.1189
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 |
|---|---|---|---|---|---|
| 1.8628 | 0.5 | 463 | 1.7727 | 40.7249 | 56.9043 |
| 1.6706 | 1.0 | 926 | 1.6163 | 44.3912 | 61.0635 |
| 1.5058 | 1.5 | 1389 | 1.5655 | 45.4339 | 61.5089 |
| 1.4661 | 2.0 | 1852 | 1.5130 | 46.9055 | 63.5850 |
| 1.3171 | 2.5 | 2315 | 1.5077 | 47.1914 | 63.4762 |
| 1.3258 | 3.0 | 2778 | 1.4981 | 47.6034 | 64.3797 |
| 1.1835 | 3.5 | 3241 | 1.5171 | 47.7043 | 64.1444 |
| 1.1946 | 4.0 | 3704 | 1.5333 | 47.6539 | 64.3327 |
| 1.0904 | 4.5 | 4167 | 1.5397 | 47.8725 | 64.1189 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2
