---
license: apache-2.0
base_model: BothBosu/distilbert-scam-classification-v1
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: distilbert-scam-classification-fine-tuned-elder
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-scam-classification-fine-tuned-elder

This model is a fine-tuned version of [BothBosu/distilbert-scam-classification-v1](https://huggingface.co/BothBosu/distilbert-scam-classification-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6626
- Accuracy: 0.925
- Precision: 0.8889
- Recall: 0.9412
- F1: 0.9143

## 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: 0.004
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.0           | 6.6667  | 20   | 1.8102          | 0.9      | 0.8421    | 0.9412 | 0.8889 |
| 0.0           | 13.3333 | 40   | 1.7751          | 0.9      | 0.8421    | 0.9412 | 0.8889 |
| 0.0           | 20.0    | 60   | 1.7390          | 0.9      | 0.8421    | 0.9412 | 0.8889 |
| 0.0           | 26.6667 | 80   | 1.7140          | 0.925    | 0.8889    | 0.9412 | 0.9143 |
| 0.0           | 33.3333 | 100  | 1.7016          | 0.925    | 0.8889    | 0.9412 | 0.9143 |
| 0.0           | 40.0    | 120  | 1.6990          | 0.925    | 0.8889    | 0.9412 | 0.9143 |
| 0.0           | 46.6667 | 140  | 1.6819          | 0.925    | 0.8889    | 0.9412 | 0.9143 |
| 0.0           | 53.3333 | 160  | 1.6602          | 0.925    | 0.8889    | 0.9412 | 0.9143 |
| 0.0           | 60.0    | 180  | 1.6626          | 0.925    | 0.8889    | 0.9412 | 0.9143 |
| 0.0           | 66.6667 | 200  | 1.6626          | 0.925    | 0.8889    | 0.9412 | 0.9143 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1