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Gregorig/deberta-v3-base-finetuned-m_reach_seller
deberta-v3-base-finetuned-m_reach_seller is a text classification model from Gregorig. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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.safetensors738 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of microsoft/deberta-v3-base 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 | F1 |
|---|---|---|---|---|---|
| 0.6656 | 1.0 | 26 | 0.5302 | 0.99 | 0.9850 |
| 0.5359 | 2.0 | 52 | 0.3861 | 0.755 | 0.8510 |
| 0.3382 | 3.0 | 78 | 0.2990 | 0.97 | 0.9773 |
| 0.2668 | 4.0 | 104 | 0.3646 | 0.93 | 0.9552 |
| 0.1776 | 5.0 | 130 | 0.3659 | 0.955 | 0.9689 |