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---
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
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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 |