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distilbert-base-uncased-finetuned-clinc
moraudiet/distilbert-base-uncased-finetuned-clinc
distilbert-base-uncased-finetuned-clinc is a text classification model from moraudiet. 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
- Oct 22, 2024
- Updated
- Oct 24, 2024
- SHA
- 817a2dc6
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Base models
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-finetuned-clinc
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0311
- Accuracy: 0.94
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: 1.9448451109337938e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4446 | 1.0 | 318 | 0.2399 | 0.6155 |
| 0.1981 | 2.0 | 636 | 0.1226 | 0.8468 |
| 0.1246 | 3.0 | 954 | 0.0827 | 0.8987 |
| 0.0927 | 4.0 | 1272 | 0.0634 | 0.9158 |
| 0.0751 | 5.0 | 1590 | 0.0528 | 0.9232 |
| 0.0646 | 6.0 | 1908 | 0.0458 | 0.9313 |
| 0.0579 | 7.0 | 2226 | 0.0419 | 0.9316 |
| 0.053 | 8.0 | 2544 | 0.0398 | 0.9355 |
| 0.0497 | 9.0 | 2862 | 0.0368 | 0.9355 |
| 0.0471 | 10.0 | 3180 | 0.0357 | 0.9384 |
| 0.0449 | 11.0 | 3498 | 0.0349 | 0.9361 |
| 0.0434 | 12.0 | 3816 | 0.0340 | 0.9377 |
| 0.042 | 13.0 | 4134 | 0.0332 | 0.9371 |
| 0.0409 | 14.0 | 4452 | 0.0324 | 0.9381 |
| 0.0401 | 15.0 | 4770 | 0.0323 | 0.9387 |
| 0.0392 | 16.0 | 5088 | 0.0318 | 0.9387 |
| 0.0389 | 17.0 | 5406 | 0.0315 | 0.9394 |
| 0.0383 | 18.0 | 5724 | 0.0313 | 0.94 |
| 0.038 | 19.0 | 6042 | 0.0311 | 0.94 |
| 0.0377 | 20.0 | 6360 | 0.0311 | 0.94 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 22, 2024
- Updated
- Oct 24, 2024