metadata
license: apache-2.0
base_model: DunnBC22/distilbert-base-uncased-SpamFilter-LG
tags:
- generated_from_trainer
model-index:
- name: bert_spam_detection
results: []
bert_spam_detection
This model is a fine-tuned version of DunnBC22/distilbert-base-uncased-SpamFilter-LG on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1079
- Roc Auc: 0.9951
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Roc Auc |
|---|---|---|---|---|
| 0.0113 | 1.0 | 814 | 0.0974 | 0.9948 |
| 0.0009 | 2.0 | 1628 | 0.1079 | 0.9951 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1