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distilbert-base-uncased-distilled-clinc
amartyobanerjee/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from amartyobanerjee. 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
- Feb 17, 2023
- Updated
- Feb 17, 2023
- SHA
- 902b7cd0
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Datasets
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 the clinc_oos dataset. It achieves the following results on the evaluation set:
- Loss: 0.3445
- Accuracy: 0.9487
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.4915 | 1.0 | 318 | 2.5863 | 0.7506 |
| 1.985 | 2.0 | 636 | 1.3027 | 0.8655 |
| 0.9995 | 3.0 | 954 | 0.6997 | 0.9116 |
| 0.5484 | 4.0 | 1272 | 0.4723 | 0.9374 |
| 0.364 | 5.0 | 1590 | 0.3997 | 0.9435 |
| 0.2855 | 6.0 | 1908 | 0.3724 | 0.9439 |
| 0.2475 | 7.0 | 2226 | 0.3573 | 0.9481 |
| 0.2267 | 8.0 | 2544 | 0.3517 | 0.9458 |
| 0.2173 | 9.0 | 2862 | 0.3480 | 0.9468 |
| 0.2112 | 10.0 | 3180 | 0.3445 | 0.9487 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.12.0
- Datasets 1.16.1
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 17, 2023
- Updated
- Feb 17, 2023