Downloads · 30 days
4
11% of all-time downloads
Takeshi10Days/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from Takeshi10Days. 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
4
11% of all-time downloads
All-time downloads
36
Public
Parameters
67.1M
1.6 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 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 |
|---|---|---|---|
| No log | 1.0 | 318 | 1.3258 |
| 1.6434 | 2.0 | 636 | 0.6673 |
| 1.6434 | 3.0 | 954 | 0.3963 |
| 0.6154 | 4.0 | 1272 | 0.2982 |
| 0.3057 | 5.0 | 1590 | 0.2632 |
| 0.3057 | 6.0 | 1908 | 0.2488 |
| 0.231 | 7.0 | 2226 | 0.2425 |
| 0.2073 | 8.0 | 2544 | 0.2382 |
| 0.2073 | 9.0 | 2862 | 0.2366 |