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distilbert-base-uncased-distilled-clinc
oliverhoffmann/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from oliverhoffmann. 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 16, 2024
- Updated
- Oct 25, 2024
- SHA
- 3a832861
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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-distilled-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: 0.2998
- Accuracy: 0.9455
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: 13
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.7449 | 1.0 | 318 | 1.8362 | 0.7090 |
| 1.3581 | 2.0 | 636 | 0.7726 | 0.8635 |
| 0.6064 | 3.0 | 954 | 0.4314 | 0.9142 |
| 0.3636 | 4.0 | 1272 | 0.3585 | 0.9348 |
| 0.2924 | 5.0 | 1590 | 0.3338 | 0.9442 |
| 0.264 | 6.0 | 1908 | 0.3244 | 0.9432 |
| 0.2497 | 7.0 | 2226 | 0.3141 | 0.9471 |
| 0.2406 | 8.0 | 2544 | 0.3111 | 0.9468 |
| 0.235 | 9.0 | 2862 | 0.3062 | 0.9452 |
| 0.2316 | 10.0 | 3180 | 0.3025 | 0.9461 |
| 0.2287 | 11.0 | 3498 | 0.3015 | 0.9445 |
| 0.2271 | 12.0 | 3816 | 0.3000 | 0.9465 |
| 0.2259 | 13.0 | 4134 | 0.2998 | 0.9455 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 16, 2024
- Updated
- Oct 25, 2024