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README.md
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---
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license: mit
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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: DistillBerTurk_15_epoch
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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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# DistillBerTurk_15_epoch
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This model is a fine-tuned version of [dbmdz/distilbert-base-turkish-cased](https://huggingface.co/dbmdz/distilbert-base-turkish-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0549
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- Accuracy: 0.9931
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: linear
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- num_epochs: 15
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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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| No log | 1.0 | 50 | 0.6766 | 0.625 |
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| No log | 2.0 | 100 | 0.3955 | 0.9583 |
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| No log | 3.0 | 150 | 0.0874 | 0.9792 |
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| No log | 4.0 | 200 | 0.0446 | 0.9861 |
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| No log | 5.0 | 250 | 0.0725 | 0.9792 |
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| No log | 6.0 | 300 | 0.0352 | 0.9931 |
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| No log | 7.0 | 350 | 0.0452 | 0.9931 |
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| No log | 8.0 | 400 | 0.0442 | 0.9931 |
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| No log | 9.0 | 450 | 0.0499 | 0.9931 |
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| 0.1537 | 10.0 | 500 | 0.0514 | 0.9931 |
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| 0.1537 | 11.0 | 550 | 0.0542 | 0.9931 |
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| 0.1537 | 12.0 | 600 | 0.0545 | 0.9931 |
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| 0.1537 | 13.0 | 650 | 0.0548 | 0.9931 |
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| 0.1537 | 14.0 | 700 | 0.0550 | 0.9931 |
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| 0.1537 | 15.0 | 750 | 0.0549 | 0.9931 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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