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--- |
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base_model: eminAydin/turkish-gpt2-mini-M0-cleaned-wiki720-10ep |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Turkish-GPT2-mini-ModelC-v2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Turkish-GPT2-mini-ModelC-v2 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.7888 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.5885 | 1.0 | 105 | 5.3409 | |
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| 4.6793 | 2.0 | 211 | 5.0595 | |
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| 4.3251 | 3.0 | 316 | 4.9534 | |
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| 4.0177 | 4.0 | 422 | 4.8832 | |
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| 3.8553 | 5.0 | 527 | 4.8464 | |
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| 3.6698 | 6.0 | 633 | 4.8168 | |
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| 3.6011 | 7.0 | 738 | 4.7974 | |
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| 3.5002 | 8.0 | 844 | 4.7905 | |
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| 3.4937 | 9.0 | 949 | 4.7890 | |
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| 3.4673 | 9.95 | 1050 | 4.7888 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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