Downloads · 30 days
5
12% of all-time downloads
distilbert-base-uncased-distilled-clinc-mycustom
TheHiddenCake/distilbert-base-uncased-distilled-clinc-mycustom
distilbert-base-uncased-distilled-clinc-mycustom is a text classification model from TheHiddenCake. 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
43
Public
Parameters
67.1M
268 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
- Oct 19, 2024
- Updated
- Oct 19, 2024
- SHA
- 30feeb39
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-mycustom
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: 0.0702
- Accuracy: 0.9506
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: 4.801212602291958e-05
- train_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.2007 | 1.0 | 954 | 0.1323 | 0.9155 |
| 0.1008 | 2.0 | 1908 | 0.0887 | 0.9461 |
| 0.0783 | 3.0 | 2862 | 0.0787 | 0.9481 |
| 0.0713 | 4.0 | 3816 | 0.0750 | 0.95 |
| 0.0668 | 5.0 | 4770 | 0.0728 | 0.9497 |
| 0.0634 | 6.0 | 5724 | 0.0720 | 0.9497 |
| 0.0617 | 7.0 | 6678 | 0.0709 | 0.95 |
| 0.061 | 8.0 | 7632 | 0.0702 | 0.9506 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 19, 2024
- Updated
- Oct 19, 2024