Downloads · 30 days
8
15% of all-time downloads
distilbert-base-uncased-distilled-clinc
tatsunori/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from tatsunori. 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
54
Public
Parameters
67.1M
1.3 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
- Mar 19, 2024
- Updated
- Mar 19, 2024
- SHA
- 8b0cd27e
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: 0.2223
- Accuracy: 0.9445
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 | 1.2786 | 0.7235 |
| 1.5922 | 2.0 | 636 | 0.6337 | 0.8652 |
| 1.5922 | 3.0 | 954 | 0.3711 | 0.9171 |
| 0.5859 | 4.0 | 1272 | 0.2814 | 0.9316 |
| 0.288 | 5.0 | 1590 | 0.2498 | 0.9381 |
| 0.288 | 6.0 | 1908 | 0.2378 | 0.9406 |
| 0.2186 | 7.0 | 2226 | 0.2298 | 0.9413 |
| 0.1965 | 8.0 | 2544 | 0.2260 | 0.9435 |
| 0.1965 | 9.0 | 2862 | 0.2234 | 0.9445 |
| 0.1884 | 10.0 | 3180 | 0.2223 | 0.9445 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 19, 2024
- Updated
- Mar 19, 2024