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distilbert-base-uncased-distilled-clinc
lucasmadda/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from lucasmadda. 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
- May 3, 2023
- Updated
- May 3, 2023
- SHA
- dcfe4c13
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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: 0.3288
- Accuracy: 0.9494
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 |
|---|---|---|---|---|
| 3.9476 | 1.0 | 318 | 2.9510 | 0.7468 |
| 2.2551 | 2.0 | 636 | 1.4760 | 0.8555 |
| 1.1113 | 3.0 | 954 | 0.7582 | 0.9126 |
| 0.5674 | 4.0 | 1272 | 0.4822 | 0.9326 |
| 0.3386 | 5.0 | 1590 | 0.3837 | 0.9435 |
| 0.2399 | 6.0 | 1908 | 0.3515 | 0.9432 |
| 0.1951 | 7.0 | 2226 | 0.3370 | 0.9465 |
| 0.1736 | 8.0 | 2544 | 0.3320 | 0.9468 |
| 0.1631 | 9.0 | 2862 | 0.3286 | 0.9471 |
| 0.1575 | 10.0 | 3180 | 0.3288 | 0.9494 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.1.0.dev20230502
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 3, 2023
- Updated
- May 3, 2023