---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: kasrahabib/distilbert-base-uncased-finetuned-re_smell_detector
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# kasrahabib/distilbert-base-uncased-finetuned-re_smell_detector

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0045
- Validation Loss: 0.0243
- Train Precision: 95.87
- Train Recall: 93.28
- Train F1: 94.56
- Train Accuracy: 100.0
- Epoch: 2

## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4614, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 0.0447     | 0.0386          | 92.96           | 88.65        | 90.75    | 99.0           | 0     |
| 0.0072     | 0.0289          | 92.36           | 91.65        | 92.0     | 99.0           | 1     |
| 0.0045     | 0.0243          | 95.87           | 93.28        | 94.56    | 100.0          | 2     |


### Framework versions

- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1