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distilbert-base-uncased-distilled-clinc
transformersbook/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from transformersbook. 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
- Mar 2, 2022
- Updated
- Feb 5, 2022
- SHA
- 0bebc777
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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 with knowledge distillation version of distilbert-base-uncased on the clinc_oos dataset. The model is used in Chapter 8: Making Transformers Efficient in Production in the NLP with Transformers book. You can find the full code in the accompanying Github repository.
It achieves the following results on the evaluation set:
- Loss: 0.1005
- Accuracy: 0.9394
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 |
|---|---|---|---|---|
| 0.9031 | 1.0 | 318 | 0.5745 | 0.7365 |
| 0.4481 | 2.0 | 636 | 0.2856 | 0.8748 |
| 0.2528 | 3.0 | 954 | 0.1798 | 0.9187 |
| 0.176 | 4.0 | 1272 | 0.1398 | 0.9294 |
| 0.1416 | 5.0 | 1590 | 0.1211 | 0.9348 |
| 0.1243 | 6.0 | 1908 | 0.1116 | 0.9348 |
| 0.1133 | 7.0 | 2226 | 0.1062 | 0.9377 |
| 0.1075 | 8.0 | 2544 | 0.1035 | 0.9387 |
| 0.1039 | 9.0 | 2862 | 0.1014 | 0.9381 |
| 0.1018 | 10.0 | 3180 | 0.1005 | 0.9394 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.1+cu102
- Datasets 1.13.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Feb 5, 2022