Downloads · 30 days
21
42% of all-time downloads
distilbert-base-uncased-distilled-clinc_best
Jonasbukhave/distilbert-base-uncased-distilled-clinc_best
distilbert-base-uncased-distilled-clinc_best is a text classification model from Jonasbukhave. 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
50
Public
Parameters
67.1M
1.6 GB 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
- Feb 17, 2025
- Updated
- Feb 17, 2025
- SHA
- f816d376
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_best
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: 0.3857
- Accuracy: 0.9432
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | 2.6283 | 0.7252 |
| 3.073 | 2.0 | 636 | 1.3779 | 0.8558 |
| 3.073 | 3.0 | 954 | 0.7754 | 0.9090 |
| 1.2184 | 4.0 | 1272 | 0.5343 | 0.9287 |
| 0.5256 | 5.0 | 1590 | 0.4430 | 0.9342 |
| 0.5256 | 6.0 | 1908 | 0.4066 | 0.9403 |
| 0.3351 | 7.0 | 2226 | 0.3880 | 0.9429 |
| 0.276 | 8.0 | 2544 | 0.3857 | 0.9432 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 17, 2025
- Updated
- Feb 17, 2025