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Turna_Question_answering

Adapters
Safetensors
Turkish
t5
Generated from Trainer
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metadata
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 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