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distilbert-base-uncased-distilled-clinc
nanoAha/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from nanoAha. 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
- Jan 30, 2025
- Updated
- Jan 30, 2025
- SHA
- edab4494
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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: 0.0449
- Accuracy: 0.9365
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 | 0.4431 | 0.6806 |
| 0.6835 | 2.0 | 636 | 0.1571 | 0.8542 |
| 0.6835 | 3.0 | 954 | 0.0859 | 0.9055 |
| 0.1787 | 4.0 | 1272 | 0.0656 | 0.9194 |
| 0.0925 | 5.0 | 1590 | 0.0558 | 0.9255 |
| 0.0925 | 6.0 | 1908 | 0.0512 | 0.9319 |
| 0.0716 | 7.0 | 2226 | 0.0485 | 0.9316 |
| 0.0629 | 8.0 | 2544 | 0.0462 | 0.9355 |
| 0.0629 | 9.0 | 2862 | 0.0452 | 0.9348 |
| 0.059 | 10.0 | 3180 | 0.0449 | 0.9365 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 2.19.1
- Tokenizers 0.20.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 30, 2025
- Updated
- Jan 30, 2025