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--- |
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base_model: ytu-ce-cosmos/turkish-base-bert-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: turkish_mmlu_base-bert-uncased |
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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_mmlu_base-bert-uncased |
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This model is a fine-tuned version of [ytu-ce-cosmos/turkish-base-bert-uncased](https://huggingface.co/ytu-ce-cosmos/turkish-base-bert-uncased) on the [alibayram/turkish_mmlu](https://huggingface.co/datasets/alibayram/turkish_mmlu) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5043 |
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- Accuracy: 0.3119 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 1.5725 | 0.9998 | 2063 | 1.5487 | 0.2739 | |
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| 1.5254 | 1.9995 | 4126 | 1.5090 | 0.3057 | |
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| 1.4895 | 2.9993 | 6189 | 1.5043 | 0.3119 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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