Downloads · 30 days
4
1% of all-time downloads
distilbert-base-uncased-distilled-clinc
blue2959/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from blue2959. 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. --
All-time downloads
312
Public
Repo size
3.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jul 21, 2024
- Updated
- Jul 22, 2024
- SHA
- 115d68af
Try a prompt
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: 0.2342
- Accuracy: 0.9490
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 | 1.7009 | 0.7571 |
| 2.019 | 2.0 | 636 | 0.8874 | 0.8723 |
| 2.019 | 3.0 | 954 | 0.5096 | 0.9210 |
| 0.7915 | 4.0 | 1272 | 0.3532 | 0.9371 |
| 0.3568 | 5.0 | 1590 | 0.2885 | 0.9442 |
| 0.3568 | 6.0 | 1908 | 0.2602 | 0.9474 |
| 0.228 | 7.0 | 2226 | 0.2452 | 0.9487 |
| 0.1842 | 8.0 | 2544 | 0.2389 | 0.9484 |
| 0.1842 | 9.0 | 2862 | 0.2361 | 0.9484 |
| 0.1694 | 10.0 | 3180 | 0.2342 | 0.9490 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 21, 2024
- Updated
- Jul 22, 2024