--- base_model: eminAydin/turkish-gpt2-mini-M0-cleaned-wiki720-10ep tags: - generated_from_trainer model-index: - name: turkish-gpt2-mini-M2-cleaned-politics720k-10ep results: [] --- # turkish-gpt2-mini-M2-cleaned-politics720k-10ep This model is a fine-tuned version of [eminAydin/turkish-gpt2-mini-M0-cleaned-wiki720-10ep](https://huggingface.co/eminAydin/turkish-gpt2-mini-M0-cleaned-wiki720-10ep) on the None dataset. It achieves the following results on the evaluation set: - Loss: 4.1690 ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 4.8453 | 1.0 | 9070 | 4.6594 | | 4.3703 | 2.0 | 18141 | 4.4607 | | 4.186 | 3.0 | 27212 | 4.3564 | | 4.0629 | 4.0 | 36283 | 4.2902 | | 3.9703 | 5.0 | 45354 | 4.2425 | | 3.8977 | 6.0 | 54425 | 4.2108 | | 3.8423 | 7.0 | 63496 | 4.1870 | | 3.802 | 8.0 | 72567 | 4.1752 | | 3.7763 | 9.0 | 81637 | 4.1695 | | 3.7628 | 10.0 | 90700 | 4.1690 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2