turkish-electra-tquad
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: 1.3721
- F1: 1.0225
- Exact Match: 0.0
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 | F1 | Exact Match |
|---|---|---|---|---|---|
| 1.6287 | 1.0 | 520 | 1.4853 | 0.8821 | 0.0 |
| 1.1809 | 2.0 | 1040 | 1.3662 | 0.9583 | 0.0 |
| 0.9459 | 3.0 | 1560 | 1.3721 | 1.0225 | 0.0 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.0
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