metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: email_spam_classification_eng
results: []
email_spam_classification_eng
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0483
- Accuracy: 0.9928
- Precision: 0.9928
- Recall: 0.9928
- F1 Score: 0.9928
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: 3e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|---|---|---|
| 0.0073 | 1.0 | 592 | 0.0707 | 0.9916 | 0.9916 | 0.9916 | 0.9915 |
| 0.0043 | 2.0 | 1184 | 0.0679 | 0.9904 | 0.9904 | 0.9904 | 0.9904 |
| 0.0022 | 3.0 | 1776 | 0.0564 | 0.9916 | 0.9916 | 0.9916 | 0.9916 |
| 0.0015 | 4.0 | 2368 | 0.0483 | 0.9928 | 0.9928 | 0.9928 | 0.9928 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1