bert-base-turkish-qa-istech
This model is a fine-tuned version of dbmdz/bert-base-turkish-128k-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 5e-05
- 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 |
|---|---|---|---|
| No log | 1.0 | 99 | 0.0000 |
| No log | 2.0 | 198 | 0.0000 |
| No log | 3.0 | 297 | 0.0000 |
| No log | 4.0 | 396 | 0.0000 |
| No log | 5.0 | 495 | 0.0000 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for muratsimsek003/bert-base-turkish-qa-istech
Base model
dbmdz/bert-base-turkish-128k-cased