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ribesstefano/RuleBert-v0.5-k1
RuleBert-v0.5-k1 is a text classification model from ribesstefano. 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 papluca/xlm-roberta-base-language-detection 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 | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.4151 | 0.06 | 250 | 0.3658 | 0.4861 | 0.6679 | 0.0 |
| 0.3637 | 0.13 | 500 | 0.3209 | 0.4861 | 0.6679 | 0.0 |
| 0.3368 | 0.19 | 750 | 0.3093 | 0.4861 | 0.6679 | 0.0 |
| 0.3335 | 0.25 | 1000 | 0.3081 | 0.4861 | 0.6679 | 0.0 |
| 0.3524 | 0.31 | 1250 | 0.3063 | 0.4861 | 0.6679 | 0.0 |
| 0.3619 | 0.38 | 1500 | 0.3067 | 0.4861 | 0.6679 | 0.0 |