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distilbert-base-uncased-distilled-clinc
sh-zheng/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from sh-zheng. 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
- Dec 25, 2023
- Updated
- Dec 25, 2023
- SHA
- 48d8a24a
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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: 0.0400
- Accuracy: 0.9339
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 |
|---|---|---|---|---|
| 0.8329 | 1.0 | 318 | 0.4352 | 0.6555 |
| 0.3266 | 2.0 | 636 | 0.1545 | 0.8452 |
| 0.1522 | 3.0 | 954 | 0.0813 | 0.9035 |
| 0.0981 | 4.0 | 1272 | 0.0602 | 0.9158 |
| 0.0772 | 5.0 | 1590 | 0.0511 | 0.9216 |
| 0.067 | 6.0 | 1908 | 0.0461 | 0.9265 |
| 0.0611 | 7.0 | 2226 | 0.0433 | 0.9287 |
| 0.0574 | 8.0 | 2544 | 0.0417 | 0.9329 |
| 0.0552 | 9.0 | 2862 | 0.0404 | 0.9323 |
| 0.0536 | 10.0 | 3180 | 0.0400 | 0.9339 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 25, 2023
- Updated
- Dec 25, 2023