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TurQA-bert-base-turkish-uncased-finetuned-toqad
This model is a fine-tuned version of dbmdz/bert-base-turkish-uncased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 5.9506
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: 0.002
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 5.9774 | 1.0 | 717 | 5.9506 |
| 5.9675 | 2.0 | 1434 | 5.9506 |
| 5.9584 | 3.0 | 2151 | 5.9506 |
| 5.957 | 4.0 | 2868 | 5.9506 |
| 5.9561 | 5.0 | 3585 | 5.9506 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
