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distilbert-base-uncased-distilled-clinc
AndreasHansenAU/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from AndreasHansenAU. 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 6, 2024
- Updated
- Oct 12, 2024
- SHA
- a04d393a
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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: 0.1199
- 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: 0.0002537026657483439
- 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5456 | 1.0 | 318 | 0.1923 | 0.9048 |
| 0.1494 | 2.0 | 636 | 0.1698 | 0.9216 |
| 0.114 | 3.0 | 954 | 0.1448 | 0.9410 |
| 0.0934 | 4.0 | 1272 | 0.1410 | 0.9397 |
| 0.0839 | 5.0 | 1590 | 0.1309 | 0.9490 |
| 0.0804 | 6.0 | 1908 | 0.1332 | 0.9442 |
| 0.0801 | 7.0 | 2226 | 0.1321 | 0.9452 |
| 0.0762 | 8.0 | 2544 | 0.1330 | 0.9468 |
| 0.0741 | 9.0 | 2862 | 0.1293 | 0.9484 |
| 0.0732 | 10.0 | 3180 | 0.1264 | 0.9468 |
| 0.0717 | 11.0 | 3498 | 0.1244 | 0.9452 |
| 0.0702 | 12.0 | 3816 | 0.1214 | 0.9484 |
| 0.0694 | 13.0 | 4134 | 0.1209 | 0.9477 |
| 0.0686 | 14.0 | 4452 | 0.1203 | 0.9506 |
| 0.0678 | 15.0 | 4770 | 0.1199 | 0.9510 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 6, 2024
- Updated
- Oct 12, 2024