TURNA-finetuned_QA
This model is a fine-tuned version of boun-tabi-LMG/TURNA on an unknown dataset.
Model description
Turkish language model trained for question answering
Intended uses & limitations
This model can be used as a starting point to further train the Turna model for question answering, for now it's still not well trained and may require a larger dataset
Training and evaluation data
Clips/Mfaq turkish dataset: huggingface.co/datasets/clips/mfaq/viewer/tr_flat Size: 100k rows training, 2.7k validation This is a multilingual corpus of Frequently Asked Questions parsed from the Common Crawl.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-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: 4
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for Marmara-NLP/Turna_Question_answering
Base model
boun-tabi-LMG/TURNA
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Marmara-NLP/Turna_Question_answering", set_active=True)