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leomaurodesenv/nli-MiniLM2-L6-H768-nvidia-aegis-v2
nli-MiniLM2-L6-H768-nvidia-aegis-v2 is a text classification model from leomaurodesenv. 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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.safetensors328 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of cross-encoder/nli-MiniLM2-L6-H768 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 |
|---|---|---|---|---|
| 0.7906 | 1.0 | 1203 | 0.3568 | 0.8384 |
| 0.5652 | 2.0 | 2406 | 0.3766 | 0.8465 |
| 0.6100 | 3.0 | 3609 | 0.3386 | 0.8642 |
| 0.2951 | 4.0 | 4812 | 0.4825 | 0.8711 |
| 0.3694 | 5.0 | 6015 | 0.4920 | 0.8700 |
| 0.2058 | 6.0 | 7218 | 0.5558 | 0.8615 |