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suyashmittal/lnm-classifier
lnm-classifier is a text classification model from suyashmittal. 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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From the Hugging Face model README
This model is a fine-tuned version of bert-base-uncased 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 |
|---|---|---|---|---|
| 3.2846 | 1.0 | 17 | 3.2341 | 0.1176 |
| 3.1608 | 2.0 | 34 | 3.1803 | 0.0882 |
| 3.0471 | 3.0 | 51 | 3.1653 | 0.1471 |
| 2.9494 | 4.0 | 68 | 3.1728 | 0.0882 |
| 2.848 | 5.0 | 85 | 3.0685 | 0.1176 |
| 2.7737 | 6.0 | 102 | 3.1228 | 0.1765 |
| 2.6777 | 7.0 | 119 | 3.0640 | 0.2059 |
| 2.6111 | 8.0 | 136 | 3.0528 | 0.2059 |
| 2.5464 | 9.0 | 153 | 3.0111 | 0.2353 |
| 2.5201 | 10.0 | 170 | 2.9701 | 0.2059 |
| 2.4315 | 11.0 | 187 | 2.9234 | 0.2059 |
| 2.3571 | 12.0 | 204 | 2.8955 | 0.2941 |
| 2.3202 | 13.0 | 221 | 2.8774 | 0.2353 |
| 2.2824 | 14.0 | 238 | 2.8464 | 0.2647 |
| 2.2163 | 15.0 | 255 | 2.8285 | 0.2941 |
| 2.1859 | 16.0 | 272 | 2.8062 | 0.2941 |
| 2.1898 | 17.0 | 289 | 2.8084 | 0.3235 |
| 2.1454 | 18.0 | 306 | 2.7896 | 0.3235 |
| 2.1143 | 19.0 | 323 | 2.7821 | 0.3235 |
| 2.1219 | 20.0 | 340 | 2.7829 | 0.3235 |