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# kasrahabib/bert-base-cased-S8-SMELL-DETECTOR-524-S8-SMELL-DETECTOR-01-12-2-23-v2

This model is a fine-tuned version of [kasrahabib/bert-base-cased-S8-SMELL-DETECTOR-524](https://huggingface.co/kasrahabib/bert-base-cased-S8-SMELL-DETECTOR-524) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0003
- Validation Loss: 0.1875
- Train Precision: 1.0
- Train Recall: 1.0
- Train F1: 1.0
- Train Accuracy: 1.0
- Epoch: 29

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2940, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 0.2078     | 0.1602          | 0.6701          | 0.52         | 0.5856   | 0.9758         | 0     |
| 0.0934     | 0.1265          | 0.7778          | 0.728        | 0.7521   | 0.9894         | 1     |
| 0.0445     | 0.1567          | 0.7770          | 0.92         | 0.8425   | 0.9936         | 2     |
| 0.0232     | 0.1254          | 0.9524          | 0.96         | 0.9562   | 0.9980         | 3     |
| 0.0113     | 0.1427          | 0.9677          | 0.96         | 0.9639   | 0.9982         | 4     |
| 0.0069     | 0.1519          | 1.0             | 0.992        | 0.9960   | 0.9998         | 5     |
| 0.0033     | 0.1692          | 0.992           | 0.992        | 0.992    | 0.9998         | 6     |
| 0.0023     | 0.1714          | 0.992           | 0.992        | 0.992    | 0.9998         | 7     |
| 0.0019     | 0.1586          | 0.992           | 0.992        | 0.992    | 0.9998         | 8     |
| 0.0015     | 0.1492          | 1.0             | 1.0          | 1.0      | 1.0            | 9     |
| 0.0010     | 0.1615          | 0.992           | 0.992        | 0.992    | 0.9998         | 10    |
| 0.0020     | 0.1789          | 0.992           | 0.992        | 0.992    | 0.9996         | 11    |
| 0.0014     | 0.1786          | 0.992           | 0.992        | 0.992    | 0.9998         | 12    |
| 0.0019     | 0.1794          | 0.9921          | 1.0          | 0.9960   | 0.9998         | 13    |
| 0.0011     | 0.1824          | 1.0             | 1.0          | 1.0      | 1.0            | 14    |
| 0.0006     | 0.1818          | 1.0             | 1.0          | 1.0      | 1.0            | 15    |
| 0.0005     | 0.1831          | 1.0             | 1.0          | 1.0      | 1.0            | 16    |
| 0.0005     | 0.1810          | 1.0             | 1.0          | 1.0      | 1.0            | 17    |
| 0.0004     | 0.1811          | 1.0             | 1.0          | 1.0      | 1.0            | 18    |
| 0.0005     | 0.1832          | 1.0             | 1.0          | 1.0      | 1.0            | 19    |
| 0.0004     | 0.1836          | 1.0             | 1.0          | 1.0      | 1.0            | 20    |
| 0.0004     | 0.1847          | 1.0             | 1.0          | 1.0      | 1.0            | 21    |
| 0.0004     | 0.1876          | 1.0             | 1.0          | 1.0      | 1.0            | 22    |
| 0.0003     | 0.1874          | 1.0             | 1.0          | 1.0      | 1.0            | 23    |
| 0.0003     | 0.1876          | 1.0             | 1.0          | 1.0      | 1.0            | 24    |
| 0.0004     | 0.1870          | 1.0             | 1.0          | 1.0      | 1.0            | 25    |
| 0.0003     | 0.1867          | 1.0             | 1.0          | 1.0      | 1.0            | 26    |
| 0.0003     | 0.1871          | 1.0             | 1.0          | 1.0      | 1.0            | 27    |
| 0.0003     | 0.1874          | 1.0             | 1.0          | 1.0      | 1.0            | 28    |
| 0.0003     | 0.1875          | 1.0             | 1.0          | 1.0      | 1.0            | 29    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.14.4
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "kasrahabib/bert-base-cased-S8-SMELL-DETECTOR-524", "model-index": [{"name": "kasrahabib/bert-base-cased-S8-SMELL-DETECTOR-524-S8-SMELL-DETECTOR-01-12-2-23-v2", "results": []}]}
transformers tf tensorboard bert token-classification generated_from_keras_callback base_model:kasrahabib/bert-base-cased-S8-SMELL-DETECTOR-524 license:apache-2.0 autotrain_compatible endpoints_compatible region:us