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distilbert-base-uncased-distilled-clinc
ryo-hsgw/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from ryo-hsgw. 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
- Nov 12, 2022
- Updated
- Nov 12, 2022
- SHA
- e7dc2403
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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: 0.3397
- Accuracy: 0.95
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 |
|---|---|---|---|---|
| 3.202 | 1.0 | 318 | 2.3610 | 0.7506 |
| 1.8112 | 2.0 | 636 | 1.1899 | 0.8610 |
| 0.9255 | 3.0 | 954 | 0.6534 | 0.9168 |
| 0.5268 | 4.0 | 1272 | 0.4620 | 0.9368 |
| 0.3624 | 5.0 | 1590 | 0.3941 | 0.9448 |
| 0.2935 | 6.0 | 1908 | 0.3682 | 0.9452 |
| 0.2584 | 7.0 | 2226 | 0.3515 | 0.9497 |
| 0.2393 | 8.0 | 2544 | 0.3453 | 0.9481 |
| 0.2289 | 9.0 | 2862 | 0.3421 | 0.9490 |
| 0.225 | 10.0 | 3180 | 0.3397 | 0.95 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.12.1+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 12, 2022
- Updated
- Nov 12, 2022