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3huvan/inlegalbert
inlegalbert is a text classification model from 3huvan. 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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From the Hugging Face model README
This model is a fine-tuned version of law-ai/InLegalBERT 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 | Macro F1 | Weighted F1 | Accuracy |
|---|---|---|---|---|---|---|
| 1.0356 | 1.0 | 1113 | 1.1943 | 0.5167 | 0.6408 | 0.6332 |
| 0.7249 | 2.0 | 2226 | 1.1684 | 0.5136 | 0.6424 | 0.6436 |
| 0.5547 | 3.0 | 3339 | 1.2838 | 0.5227 | 0.6503 | 0.6450 |
| 0.4140 | 4.0 | 4452 | 1.4099 | 0.5170 | 0.6495 | 0.6491 |
| 0.2939 | 5.0 | 5565 | 1.4971 | 0.5043 | 0.6434 | 0.6488 |