Downloads · 30 days
9
3% of all-time downloads
alex-miller/nyt-cat
nyt-cat is a text classification model from alex-miller. 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.
This model is a fine-tuned version of distilbert-base-uncased on the New York Times Topics dataset. It achieves the following results on the evaluation set: - Loss: 0.2871 - Accuracy: 0.9135
Downloads · 30 days
9
3% of all-time downloads
All-time downloads
327
Public
Parameters
67M
268 MB 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 New York Times Topics 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 |
|---|---|---|---|---|
| 0.386 | 1.0 | 1340 | 0.3275 | 0.8921 |
| 0.2833 | 2.0 | 2680 | 0.2840 | 0.9033 |
| 0.2411 | 3.0 | 4020 | 0.2694 | 0.9102 |
| 0.2069 | 4.0 | 5360 | 0.2665 | 0.9114 |
| 0.1796 | 5.0 | 6700 | 0.2657 | 0.9128 |
| 0.1636 | 6.0 | 8040 | 0.2674 | 0.9142 |
| 0.144 | 7.0 | 9380 | 0.2761 | 0.9129 |
| 0.1277 | 8.0 | 10720 | 0.2820 | 0.9125 |
| 0.1201 | 9.0 | 12060 | 0.2853 | 0.9136 |
| 0.1104 | 10.0 | 13400 | 0.2871 | 0.9135 |