t5-base-turkish-reincames-hukuk-qlora
This model is a fine-tuned version of Turkish-NLP/t5-efficient-base-turkish on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2578
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1019 | 1.0 | 1336 | 1.5276 |
| 1.7684 | 2.0 | 2672 | 1.3957 |
| 1.6464 | 3.0 | 4008 | 1.3162 |
| 1.5898 | 4.0 | 5344 | 1.2712 |
| 1.5054 | 5.0 | 6680 | 1.2578 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0
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Model tree for tuhanasinan/t5-base-turkish-reincames-hukuk-qlora
Base model
Turkish-NLP/t5-efficient-base-turkish