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distilbert-base-uncased-distilled-clinc
alekskusz/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from alekskusz. 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 15, 2024
- Updated
- Oct 18, 2024
- SHA
- 4124297e
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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-base-uncased-distilled-clinc
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1677
- Accuracy: 0.9510
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: 0.00015488796175955455
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 19
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8652 | 1.0 | 318 | 0.2578 | 0.9277 |
| 0.1803 | 2.0 | 636 | 0.2039 | 0.9397 |
| 0.1226 | 3.0 | 954 | 0.1887 | 0.9442 |
| 0.1064 | 4.0 | 1272 | 0.1808 | 0.9481 |
| 0.0963 | 5.0 | 1590 | 0.1770 | 0.9468 |
| 0.0928 | 6.0 | 1908 | 0.1826 | 0.9477 |
| 0.092 | 7.0 | 2226 | 0.1777 | 0.95 |
| 0.0876 | 8.0 | 2544 | 0.1719 | 0.9516 |
| 0.0861 | 9.0 | 2862 | 0.1813 | 0.9455 |
| 0.0868 | 10.0 | 3180 | 0.1804 | 0.9471 |
| 0.0841 | 11.0 | 3498 | 0.1749 | 0.9484 |
| 0.0834 | 12.0 | 3816 | 0.1764 | 0.9487 |
| 0.0817 | 13.0 | 4134 | 0.1714 | 0.9513 |
| 0.081 | 14.0 | 4452 | 0.1727 | 0.9503 |
| 0.0802 | 15.0 | 4770 | 0.1707 | 0.95 |
| 0.0794 | 16.0 | 5088 | 0.1697 | 0.9506 |
| 0.0787 | 17.0 | 5406 | 0.1683 | 0.9523 |
| 0.0784 | 18.0 | 5724 | 0.1684 | 0.9510 |
| 0.078 | 19.0 | 6042 | 0.1677 | 0.9510 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.20.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 15, 2024
- Updated
- Oct 18, 2024