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IndoBERT-SQuADv2_1686242682-8-2e-06-0.01-5
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5721
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: 2e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8921 | 1.0 | 16290 | 2.4341 |
| 0.6358 | 2.0 | 32580 | 2.7419 |
| 0.8697 | 3.0 | 48870 | 2.4387 |
| 0.8065 | 4.0 | 65160 | 2.5329 |
| 0.7706 | 5.0 | 81450 | 2.5721 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2
