electra-turkish-qa
This model is a fine-tuned version of dbmdz/electra-base-turkish-cased-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6003
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 |
|---|---|---|---|
| No log | 1.0 | 168 | 1.4008 |
| No log | 2.0 | 336 | 0.8209 |
| 1.8478 | 3.0 | 504 | 0.6003 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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