Downloads · 30 days
6
8% of all-time downloads
soltaniali/roberta-fa-zwnj-base_v2
roberta-fa-zwnj-base_v2 is a text classification model from soltaniali. 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
6
8% of all-time downloads
All-time downloads
78
Public
Parameters
118M
473 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors473 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of HooshvareLab/roberta-fa-zwnj-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 | F1 | Precision |
|---|---|---|---|---|---|---|
| No log | 1.0 | 221 | 1.1727 | 0.5051 | 0.4774 | 0.5339 |
| No log | 2.0 | 442 | 0.9745 | 0.5993 | 0.5974 | 0.6020 |
| 1.0847 | 3.0 | 663 | 0.9534 | 0.6390 | 0.6364 | 0.6376 |
| 1.0847 | 4.0 | 884 | 0.9851 | 0.6504 | 0.6494 | 0.6559 |
| 0.6653 | 5.0 | 1105 | 1.0650 | 0.6300 | 0.6302 | 0.6337 |
| 0.6653 | 6.0 | 1326 | 1.1519 | 0.6413 | 0.6401 | 0.6450 |
| 0.4049 | 7.0 | 1547 | 1.2131 | 0.6356 | 0.6358 | 0.6362 |
| 0.4049 | 8.0 | 1768 | 1.2801 | 0.6356 | 0.6355 | 0.6360 |
| 0.4049 | 9.0 | 1989 | 1.3335 | 0.6322 | 0.6306 | 0.6320 |
| 0.2507 | 10.0 | 2210 | 1.3459 | 0.6322 | 0.6314 | 0.6344 |