Downloads · 30 days
3
8% of all-time downloads
distilbert-base-uncased-distilled-clinc
Siddharthparmar7/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from Siddharthparmar7. 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
38
Public
Parameters
67.1M
3.8 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
- Jul 5, 2024
- Updated
- Jul 17, 2024
- SHA
- 356ccfe8
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: 0.0723
- Accuracy: 0.9345
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 | 0.5334 | 0.6965 |
| 0.7862 | 2.0 | 636 | 0.2075 | 0.8623 |
| 0.7862 | 3.0 | 954 | 0.1198 | 0.9103 |
| 0.2221 | 4.0 | 1272 | 0.0946 | 0.9268 |
| 0.1188 | 5.0 | 1590 | 0.0850 | 0.9265 |
| 0.1188 | 6.0 | 1908 | 0.0789 | 0.9323 |
| 0.0952 | 7.0 | 2226 | 0.0757 | 0.9329 |
| 0.0855 | 8.0 | 2544 | 0.0740 | 0.9342 |
| 0.0855 | 9.0 | 2862 | 0.0725 | 0.9348 |
| 0.0813 | 10.0 | 3180 | 0.0723 | 0.9345 |
Framework versions
- Transformers 4.42.3
- 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 5, 2024
- Updated
- Jul 17, 2024