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distilbert-finetuned-headings
OrbitalWitness/distilbert-finetuned-headings
distilbert-finetuned-headings is a text classification model from OrbitalWitness. 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
- distilbert
- Access
- Public
- Created
- Oct 31, 2023
- Updated
- Oct 31, 2023
- SHA
- 19c0b22a
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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. -->
distilbert-finetuned-headings
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1790
- F1 Positive: 0.8852
- F1 Negative: 0.9822
- F1: 0.9691
- Roc Auc: 0.9141
- Accuracy: 0.9691
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: 8
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Positive | F1 Negative | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|---|---|
| 0.1885 | 1.0 | 1785 | 0.1381 | 0.845 | 0.9771 | 0.9601 | 0.8786 | 0.9601 |
| 0.13 | 2.0 | 3570 | 0.1415 | 0.8434 | 0.9771 | 0.9601 | 0.8748 | 0.9601 |
| 0.1034 | 3.0 | 5355 | 0.1946 | 0.8507 | 0.9778 | 0.9614 | 0.8831 | 0.9614 |
| 0.0747 | 4.0 | 7140 | 0.1790 | 0.8852 | 0.9822 | 0.9691 | 0.9141 | 0.9691 |
| 0.0397 | 5.0 | 8925 | 0.2051 | 0.8718 | 0.9795 | 0.9646 | 0.9152 | 0.9646 |
| 0.032 | 6.0 | 10710 | 0.2302 | 0.8729 | 0.9803 | 0.9659 | 0.9065 | 0.9659 |
| 0.0211 | 7.0 | 12495 | 0.2454 | 0.8773 | 0.9798 | 0.9653 | 0.9269 | 0.9653 |
| 0.0219 | 8.0 | 14280 | 0.2693 | 0.8750 | 0.9789 | 0.9640 | 0.9318 | 0.9640 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 31, 2023
- Updated
- Oct 31, 2023