| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: model_from_berturk_1401 |
| 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. --> |
|
|
| # model_from_berturk_1401 |
| |
| 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: 0.2702 |
| - Precision: 0.8979 |
| - Recall: 0.8911 |
| - F1: 0.8945 |
| - Accuracy: 0.9254 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | No log | 1.0 | 244 | 0.4037 | 0.8571 | 0.8504 | 0.8537 | 0.8950 | |
| | No log | 2.0 | 488 | 0.3194 | 0.8798 | 0.8741 | 0.8769 | 0.9126 | |
| | 0.6153 | 3.0 | 732 | 0.2787 | 0.8954 | 0.8862 | 0.8908 | 0.9230 | |
| | 0.6153 | 4.0 | 976 | 0.2702 | 0.8979 | 0.8911 | 0.8945 | 0.9254 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.25.1 |
| - Pytorch 1.13.0+cu116 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
| |
