Downloads · 30 days
7
16% of all-time downloads
imrazaa/distilbert-base-multilingual-cased-en
distilbert-base-multilingual-cased-en is a text classification model from imrazaa. 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
7
16% of all-time downloads
All-time downloads
43
Public
Parameters
135M
2.2 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors541 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-multilingual-cased 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 | F1 |
|---|---|---|---|---|---|
| 0.7829 | 0.3524 | 500 | 0.4586 | 0.8596 | 0.8473 |
| 0.4282 | 0.7047 | 1000 | 0.3733 | 0.8759 | 0.8709 |
| 0.3631 | 1.0571 | 1500 | 0.3518 | 0.8826 | 0.8810 |
| 0.3082 | 1.4094 | 2000 | 0.3330 | 0.8854 | 0.8827 |
| 0.2862 | 1.7618 | 2500 | 0.3304 | 0.8890 | 0.8885 |
| 0.2545 | 2.1142 | 3000 | 0.3342 | 0.8901 | 0.8887 |
| 0.2307 | 2.4665 | 3500 | 0.3298 | 0.8909 | 0.8908 |
| 0.2246 | 2.8189 | 4000 | 0.3253 | 0.8907 | 0.8910 |