| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: BerTurkBase_15_epoch |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # BerTurkBase_15_epoch |
|
|
| This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0005 |
| - Accuracy: 1.0 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
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|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 15 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 50 | 0.6526 | 0.5972 | |
| | No log | 2.0 | 100 | 0.1755 | 0.9653 | |
| | No log | 3.0 | 150 | 0.0518 | 0.9861 | |
| | No log | 4.0 | 200 | 0.0065 | 1.0 | |
| | No log | 5.0 | 250 | 0.0022 | 1.0 | |
| | No log | 6.0 | 300 | 0.0016 | 1.0 | |
| | No log | 7.0 | 350 | 0.0007 | 1.0 | |
| | No log | 8.0 | 400 | 0.0005 | 1.0 | |
| | No log | 9.0 | 450 | 0.0005 | 1.0 | |
| | 0.1362 | 10.0 | 500 | 0.0005 | 1.0 | |
| | 0.1362 | 11.0 | 550 | 0.0006 | 1.0 | |
| | 0.1362 | 12.0 | 600 | 0.0005 | 1.0 | |
| | 0.1362 | 13.0 | 650 | 0.0005 | 1.0 | |
| | 0.1362 | 14.0 | 700 | 0.0005 | 1.0 | |
| | 0.1362 | 15.0 | 750 | 0.0005 | 1.0 | |
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| ### Framework versions |
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|
| - Transformers 4.25.1 |
| - Pytorch 1.13.0+cu116 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
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|
