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# acer_nitro_bert_turk

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: 0.3791
- F1: 0.8532
- Roc Auc: 0.9236
- Accuracy: 0.7108

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 166  | 0.3705          | 0.8426 | 0.9139  | 0.7229   |
| No log        | 2.0   | 332  | 0.3450          | 0.8584 | 0.9380  | 0.7470   |
| No log        | 3.0   | 498  | 0.3661          | 0.8491 | 0.9128  | 0.7108   |
| 0.0532        | 4.0   | 664  | 0.3745          | 0.8558 | 0.9213  | 0.7229   |
| 0.0532        | 5.0   | 830  | 0.3598          | 0.8571 | 0.9249  | 0.7349   |
| 0.0532        | 6.0   | 996  | 0.3747          | 0.8571 | 0.9249  | 0.7229   |
| 0.0219        | 7.0   | 1162 | 0.3540          | 0.8624 | 0.9297  | 0.7349   |
| 0.0219        | 8.0   | 1328 | 0.3761          | 0.8584 | 0.9285  | 0.7229   |
| 0.0219        | 9.0   | 1494 | 0.3836          | 0.8493 | 0.9223  | 0.7108   |
| 0.0108        | 10.0  | 1660 | 0.3791          | 0.8532 | 0.9236  | 0.7108   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "dbmdz/bert-base-turkish-cased", "model-index": [{"name": "acer_nitro_bert_turk", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:dbmdz/bert-base-turkish-cased license:mit autotrain_compatible endpoints_compatible region:us