Downloads · 30 days
5
29% of all-time downloads
distilbert-base-uncased-distilled-clinc
morrislinux/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a machine learning model from morrislinux. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
17
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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 12, 2025
- Updated
- Feb 12, 2025
- SHA
- 112d0b12
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: 0.2999
- Accuracy: 0.9439
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 |
|---|---|---|---|---|
| 3.8703 | 1.0 | 318 | 2.9022 | 0.7239 |
| 2.2261 | 2.0 | 636 | 1.4701 | 0.8674 |
| 1.1184 | 3.0 | 954 | 0.7695 | 0.9106 |
| 0.5811 | 4.0 | 1272 | 0.4924 | 0.9303 |
| 0.3419 | 5.0 | 1590 | 0.3769 | 0.9377 |
| 0.2345 | 6.0 | 1908 | 0.3387 | 0.9381 |
| 0.1813 | 7.0 | 2226 | 0.3145 | 0.9435 |
| 0.153 | 8.0 | 2544 | 0.3051 | 0.9439 |
| 0.1379 | 9.0 | 2862 | 0.3002 | 0.9448 |
| 0.1319 | 10.0 | 3180 | 0.2999 | 0.9439 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 12, 2025
- Updated
- Feb 12, 2025