transformers pytorch bert text-classification generated_from_trainer base_model:dbmdz/bert-base-turkish-cased license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-turkish-cased-191123-stopword-product-names-classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-turkish-cased-191123-stopword-product-names-classification

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: 0.4409
- Accuracy: 0.9347

## 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: 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 314  | 2.3636          | 0.6008   |
| 3.1969        | 2.0   | 628  | 1.1851          | 0.7984   |
| 3.1969        | 3.0   | 942  | 0.8059          | 0.8598   |
| 1.0529        | 4.0   | 1256 | 0.6367          | 0.8733   |
| 0.509         | 5.0   | 1570 | 0.5475          | 0.8813   |
| 0.509         | 6.0   | 1884 | 0.4913          | 0.8988   |
| 0.3084        | 7.0   | 2198 | 0.4796          | 0.9036   |
| 0.2041        | 8.0   | 2512 | 0.4450          | 0.9155   |
| 0.2041        | 9.0   | 2826 | 0.4339          | 0.9131   |
| 0.1229        | 10.0  | 3140 | 0.4227          | 0.9267   |
| 0.1229        | 11.0  | 3454 | 0.4097          | 0.9243   |
| 0.0942        | 12.0  | 3768 | 0.4232          | 0.9211   |
| 0.0619        | 13.0  | 4082 | 0.4164          | 0.9259   |
| 0.0619        | 14.0  | 4396 | 0.4191          | 0.9283   |
| 0.0442        | 15.0  | 4710 | 0.4479          | 0.9227   |
| 0.0336        | 16.0  | 5024 | 0.4521          | 0.9251   |
| 0.0336        | 17.0  | 5338 | 0.4484          | 0.9283   |
| 0.0247        | 18.0  | 5652 | 0.4625          | 0.9259   |
| 0.0247        | 19.0  | 5966 | 0.4409          | 0.9347   |
| 0.0177        | 20.0  | 6280 | 0.4560          | 0.9299   |
| 0.0165        | 21.0  | 6594 | 0.4425          | 0.9307   |
| 0.0165        | 22.0  | 6908 | 0.4435          | 0.9323   |
| 0.01          | 23.0  | 7222 | 0.4398          | 0.9347   |
| 0.0097        | 24.0  | 7536 | 0.4531          | 0.9331   |
| 0.0097        | 25.0  | 7850 | 0.4610          | 0.9291   |
| 0.0071        | 26.0  | 8164 | 0.4595          | 0.9315   |
| 0.0071        | 27.0  | 8478 | 0.4567          | 0.9323   |
| 0.0053        | 28.0  | 8792 | 0.4599          | 0.9339   |
| 0.0047        | 29.0  | 9106 | 0.4626          | 0.9323   |
| 0.0047        | 30.0  | 9420 | 0.4632          | 0.9315   |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
