Downloads · 30 days
23
53% of all-time downloads
simonmok/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from simonmok. 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. --
Downloads · 30 days
23
53% of all-time downloads
All-time downloads
43
Public
Parameters
67.1M
2.1 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors268 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.879 | 1.0 | 318 | 2.1629 | 0.7397 |
| 1.6952 | 2.0 | 636 | 1.1555 | 0.8658 |
| 0.9194 | 3.0 | 954 | 0.6574 | 0.9158 |
| 0.5338 | 4.0 | 1272 | 0.4442 | 0.9313 |
| 0.3514 | 5.0 | 1590 | 0.3458 | 0.9390 |
| 0.2592 | 6.0 | 1908 | 0.3032 | 0.9397 |
| 0.2115 | 7.0 | 2226 | 0.2783 | 0.9442 |
| 0.1858 | 8.0 | 2544 | 0.2660 | 0.9442 |
| 0.1742 | 9.0 | 2862 | 0.2620 | 0.9458 |