metadata
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: []
distilbert-scam-classification-fine-tuned-elder
This model is a fine-tuned version of 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