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TurQA-bert-base-turkish-cased-finetuned-toqad
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 2.9711
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-05
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7191 | 1.0 | 800 | 3.0920 |
| 1.6875 | 2.0 | 1600 | 2.9778 |
| 1.4582 | 3.0 | 2400 | 2.9711 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
