Downloads · 30 days
8
21% of all-time downloads
Jay-C/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from Jay-C. 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
8
21% of all-time downloads
All-time downloads
38
Public
Repo size
537 MB
Likes
0
Public
Click a slice to open those files.
.bin268 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the clinc_oos 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 |
|---|---|---|---|---|
| No log | 1.0 | 40 | 3.8005 | 0.1781 |
| No log | 2.0 | 80 | 3.3588 | 0.5739 |
| No log | 3.0 | 120 | 2.9451 | 0.7045 |
| No log | 4.0 | 160 | 2.6026 | 0.7581 |
| No log | 5.0 | 200 | 2.3296 | 0.7894 |
| No log | 6.0 | 240 | 2.1163 | 0.8084 |
| No log | 7.0 | 280 | 1.9559 | 0.8242 |
| 2.8275 | 8.0 | 320 | 1.8475 | 0.8329 |
| 2.8275 | 9.0 | 360 | 1.7837 | 0.8384 |
| 2.8275 | 10.0 | 400 | 1.7628 | 0.8403 |