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sms-spam-weighted
cesullivan99/sms-spam-weighted
sms-spam-weighted is a text classification model from cesullivan99. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 29, 2023
- Updated
- May 29, 2023
- SHA
- f289de35
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
sms-spam-weighted
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2336
- Accuracy: 0.989
- F1: 0.9575
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: 5e-05
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0009 | 1.0 | 125 | 0.1323 | 0.987 | 0.9494 |
| 0.0034 | 2.0 | 250 | 0.1401 | 0.988 | 0.9531 |
| 0.0001 | 3.0 | 375 | 0.2087 | 0.991 | 0.9647 |
| 0.0001 | 4.0 | 500 | 0.2121 | 0.988 | 0.9538 |
| 0.0001 | 5.0 | 625 | 0.2129 | 0.988 | 0.9538 |
| 0.0 | 6.0 | 750 | 0.2242 | 0.99 | 0.9612 |
| 0.0 | 7.0 | 875 | 0.2285 | 0.989 | 0.9575 |
| 0.0 | 8.0 | 1000 | 0.2314 | 0.989 | 0.9575 |
| 0.0 | 9.0 | 1125 | 0.2330 | 0.989 | 0.9575 |
| 0.0 | 10.0 | 1250 | 0.2336 | 0.989 | 0.9575 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 29, 2023
- Updated
- May 29, 2023