--- license: other base_model: boun-tabi-LMG/TURNA tags: - generated_from_trainer model-index: - name: TURNA-finetuned_QA results: [] datasets: - clips/mfaq language: - tr metrics: - rouge library_name: adapter-transformers --- # TURNA-finetuned_QA This model is a fine-tuned version of [boun-tabi-LMG/TURNA](https://huggingface.co/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