Downloads · 30 days
8
24% of all-time downloads
distilbert-base-uncased-distilled-clinc
youngbreadho/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from youngbreadho. 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
33
Public
Parameters
67.1M
537 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jan 25, 2024
- Updated
- Jan 26, 2024
- SHA
- e024ac89
Try a prompt
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: 0.1160
- Accuracy: 0.9419
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 |
|---|---|---|---|---|
| 1.1786 | 1.0 | 318 | 0.7011 | 0.7113 |
| 0.5333 | 2.0 | 636 | 0.3054 | 0.8581 |
| 0.2694 | 3.0 | 954 | 0.1794 | 0.9187 |
| 0.1792 | 4.0 | 1272 | 0.1441 | 0.9313 |
| 0.1468 | 5.0 | 1590 | 0.1316 | 0.9358 |
| 0.1323 | 6.0 | 1908 | 0.1242 | 0.9406 |
| 0.1239 | 7.0 | 2226 | 0.1207 | 0.9381 |
| 0.1189 | 8.0 | 2544 | 0.1179 | 0.9406 |
| 0.116 | 9.0 | 2862 | 0.1163 | 0.9426 |
| 0.1143 | 10.0 | 3180 | 0.1160 | 0.9419 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 25, 2024
- Updated
- Jan 26, 2024