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distilbert-base-uncased-distilled-clinc
Ashuku/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from Ashuku. 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
- Aug 19, 2023
- Updated
- Aug 19, 2023
- SHA
- c2724112
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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: 0.2721
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 318 | 3.0783 | 0.7332 |
| 3.5962 | 2.0 | 636 | 1.5193 | 0.8616 |
| 3.5962 | 3.0 | 954 | 0.7674 | 0.9142 |
| 1.3044 | 4.0 | 1272 | 0.4681 | 0.9355 |
| 0.4405 | 5.0 | 1590 | 0.3492 | 0.9413 |
| 0.4405 | 6.0 | 1908 | 0.3040 | 0.9455 |
| 0.199 | 7.0 | 2226 | 0.2863 | 0.9474 |
| 0.1224 | 8.0 | 2544 | 0.2736 | 0.9481 |
| 0.1224 | 9.0 | 2862 | 0.2740 | 0.9484 |
| 0.0953 | 10.0 | 3180 | 0.2721 | 0.95 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 19, 2023
- Updated
- Aug 19, 2023