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--- |
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license: mit |
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base_model: dbmdz/bert-base-turkish-cased |
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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: bert-base-turkish-cased-stopword-product-names-classification |
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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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# bert-base-turkish-cased-stopword-product-names-classification |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3536 |
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- Accuracy: 0.948 |
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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: 30 |
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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 | 313 | 2.2729 | 0.5744 | |
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| 3.0971 | 2.0 | 626 | 1.0825 | 0.8184 | |
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| 3.0971 | 3.0 | 939 | 0.7240 | 0.8616 | |
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| 0.9848 | 4.0 | 1252 | 0.5729 | 0.8776 | |
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| 0.4744 | 5.0 | 1565 | 0.4712 | 0.8944 | |
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| 0.4744 | 6.0 | 1878 | 0.4396 | 0.9024 | |
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| 0.2716 | 7.0 | 2191 | 0.3794 | 0.9176 | |
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| 0.1782 | 8.0 | 2504 | 0.3714 | 0.932 | |
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| 0.1782 | 9.0 | 2817 | 0.3588 | 0.928 | |
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| 0.1104 | 10.0 | 3130 | 0.3214 | 0.9384 | |
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| 0.1104 | 11.0 | 3443 | 0.3391 | 0.9376 | |
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| 0.0843 | 12.0 | 3756 | 0.3376 | 0.9408 | |
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| 0.0616 | 13.0 | 4069 | 0.3470 | 0.9384 | |
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| 0.0616 | 14.0 | 4382 | 0.3525 | 0.9336 | |
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| 0.0384 | 15.0 | 4695 | 0.3335 | 0.9368 | |
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| 0.033 | 16.0 | 5008 | 0.3334 | 0.9424 | |
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| 0.033 | 17.0 | 5321 | 0.3490 | 0.94 | |
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| 0.0246 | 18.0 | 5634 | 0.3260 | 0.944 | |
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| 0.0246 | 19.0 | 5947 | 0.3482 | 0.9408 | |
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| 0.0173 | 20.0 | 6260 | 0.3482 | 0.9456 | |
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| 0.0138 | 21.0 | 6573 | 0.3446 | 0.9448 | |
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| 0.0138 | 22.0 | 6886 | 0.3578 | 0.944 | |
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| 0.008 | 23.0 | 7199 | 0.3415 | 0.9464 | |
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| 0.007 | 24.0 | 7512 | 0.3536 | 0.948 | |
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| 0.007 | 25.0 | 7825 | 0.3667 | 0.948 | |
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| 0.0069 | 26.0 | 8138 | 0.3605 | 0.9464 | |
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| 0.0069 | 27.0 | 8451 | 0.3652 | 0.9456 | |
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| 0.0053 | 28.0 | 8764 | 0.3650 | 0.9472 | |
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| 0.0043 | 29.0 | 9077 | 0.3623 | 0.9472 | |
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| 0.0043 | 30.0 | 9390 | 0.3635 | 0.9472 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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