Downloads · 30 days
12
32% of all-time downloads
akiseid/AmharicNewsCharacterNormalized
AmharicNewsCharacterNormalized is a text classification model from akiseid. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
12
32% of all-time downloads
All-time downloads
37
Public
Parameters
278M
5.6 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors1.1 GB · 100%
From the Hugging Face model README
This model is a fine-tuned version of xlm-roberta-base on the None 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 | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.2737 | 1.0 | 945 | 0.1984 | 0.9175 | 0.9197 | 0.9175 | 0.9172 |
| 0.2651 | 2.0 | 1890 | 0.2313 | 0.9409 | 0.9408 | 0.9409 | 0.9407 |
| 0.2155 | 3.0 | 2835 | 0.1687 | 0.9480 | 0.9480 | 0.9480 | 0.9479 |
| 0.4065 | 4.0 | 3780 | 0.2072 | 0.9439 | 0.9483 | 0.9439 | 0.9443 |
| 0.0785 | 5.0 | 4725 | 0.2054 | 0.9538 | 0.9539 | 0.9538 | 0.9538 |