hukukAi
This model is a fine-tuned version of TURKCELL/roberta-base-turkish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.7790
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.1882 | 1.0 | 121 | 5.2448 |
| 5.1711 | 2.0 | 242 | 5.3494 |
| 5.1571 | 3.0 | 363 | 5.4986 |
| 5.1536 | 4.0 | 484 | 5.7790 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cpu
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for yasirkayaalp/hukukAi
Base model
TURKCELL/roberta-base-turkish-uncased