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synthetic_training_output_5k
stephanie-jung/synthetic_training_output_5k
synthetic_training_output_5k is a text classification model from stephanie-jung. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 1, 2024
- Updated
- Jul 1, 2024
- SHA
- 31c95245
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Base models
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. -->
synthetic_training_output_5k
This model is a fine-tuned version of cyberseclabs/bert-classify-url-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Roc Auc: 1.0
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.0898 | 0.3906 | 250 | 0.0132 | 0.9971 | 0.8761 | 0.99 | 0.9296 | 0.9991 |
| 0.0431 | 0.7812 | 500 | 0.0033 | 0.9994 | 0.9802 | 0.99 | 0.9851 | 0.9999 |
| 0.0349 | 1.1719 | 750 | 0.0035 | 0.9992 | 0.9706 | 0.99 | 0.9802 | 0.9999 |
| 0.0137 | 1.5625 | 1000 | 0.0065 | 0.9986 | 0.9346 | 1.0 | 0.9662 | 1.0000 |
| 0.0207 | 1.9531 | 1250 | 0.0014 | 0.9996 | 0.9804 | 1.0 | 0.9901 | 1.0 |
| 0.0079 | 2.3438 | 1500 | 0.0005 | 0.9998 | 0.9901 | 1.0 | 0.9950 | 1.0 |
| 0.0041 | 2.7344 | 1750 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 1, 2024
- Updated
- Jul 1, 2024