Downloads · 30 days
10
3% of all-time downloads
lenate/lenate_model_12_albert-base-v2
lenate_model_12_albert-base-v2 is a text classification model from lenate. 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
10
3% of all-time downloads
All-time downloads
287
Public
Parameters
11.7M
281 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors46.7 MB · 94%
From the Hugging Face model README
This model is a fine-tuned version of albert/albert-base-v2 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 |
|---|---|---|---|---|
| No log | 1.0 | 355 | 0.6467 | 0.7212 |
| 0.7746 | 2.0 | 710 | 0.5847 | 0.7241 |
| 0.5448 | 3.0 | 1065 | 0.5494 | 0.7622 |
| 0.5448 | 4.0 | 1420 | 0.6416 | 0.7368 |
| 0.3705 | 5.0 | 1775 | 0.6439 | 0.7735 |
| 0.2112 | 6.0 | 2130 | 0.8791 | 0.7643 |
| 0.2112 | 7.0 | 2485 | 1.1350 | 0.7657 |
| 0.1012 | 8.0 | 2840 | 1.3247 | 0.7721 |
| 0.0294 | 9.0 | 3195 | 1.4469 | 0.7699 |
| 0.0112 | 10.0 | 3550 | 1.4783 | 0.7699 |