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RugvedaWork/model_ckpt
model_ckpt is a text classification model from RugvedaWork. 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. --
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.safetensors268 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3936 | 1.0 | 45 | 0.0168 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0187 | 2.0 | 90 | 0.0047 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0049 | 3.0 | 135 | 0.0345 | 0.9945 | 0.9945 | 0.9945 | 0.9945 |
| 0.0035 | 4.0 | 180 | 0.0105 | 0.9978 | 0.9978 | 0.9978 | 0.9978 |
| 0.0015 | 5.0 | 225 | 0.0075 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0009 | 6.0 | 270 | 0.0077 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0007 | 7.0 | 315 | 0.0078 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0006 | 8.0 | 360 | 0.0079 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0005 | 9.0 | 405 | 0.0081 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0004 | 10.0 | 450 | 0.0083 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0004 | 11.0 | 495 | 0.0085 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0003 | 12.0 | 540 | 0.0086 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0003 | 13.0 | 585 | 0.0087 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0003 | 14.0 | 630 | 0.0088 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0003 | 15.0 | 675 | 0.0089 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0003 | 16.0 | 720 | 0.0090 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0002 | 17.0 | 765 | 0.0090 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0002 | 18.0 | 810 | 0.0090 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0002 | 19.0 | 855 | 0.0091 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0002 | 20.0 | 900 | 0.0091 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |