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distilbert-base-uncased-distilled-clinc
kkt4828/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from kkt4828. 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 7, 2023
- Updated
- Oct 7, 2023
- SHA
- 2b4e46fb
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Base models
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: 0.2163
- Accuracy: 0.9497
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 477 | 1.0819 | 0.7584 |
| 1.7363 | 2.0 | 954 | 0.4714 | 0.8919 |
| 0.7368 | 3.0 | 1431 | 0.2924 | 0.9352 |
| 0.3548 | 4.0 | 1908 | 0.2508 | 0.9416 |
| 0.2432 | 5.0 | 2385 | 0.2338 | 0.9439 |
| 0.2052 | 6.0 | 2862 | 0.2257 | 0.9497 |
| 0.1898 | 7.0 | 3339 | 0.2208 | 0.9487 |
| 0.1821 | 8.0 | 3816 | 0.2184 | 0.9494 |
| 0.1772 | 9.0 | 4293 | 0.2175 | 0.9484 |
| 0.1739 | 10.0 | 4770 | 0.2163 | 0.9497 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 7, 2023
- Updated
- Oct 7, 2023