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--- |
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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-M0-cleaned-wiki720-10ep |
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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-M0-cleaned-wiki720-10ep |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.4235 |
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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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- 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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| 6.1744 | 1.0 | 72000 | 5.2699 | |
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| 4.9504 | 2.0 | 144000 | 4.8620 | |
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| 4.6289 | 3.0 | 216000 | 4.6946 | |
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| 4.4381 | 4.0 | 288000 | 4.5945 | |
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| 4.2965 | 5.0 | 360000 | 4.5257 | |
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| 4.1802 | 6.0 | 432000 | 4.4765 | |
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| 4.0826 | 7.0 | 504000 | 4.4464 | |
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| 4.0024 | 8.0 | 576000 | 4.4294 | |
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| 3.9444 | 9.0 | 648000 | 4.4230 | |
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| 3.9108 | 10.0 | 720000 | 4.4235 | |
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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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