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ribesstefano/RuleBert-v0.4-k3
RuleBert-v0.4-k3 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 |
|---|---|---|---|---|---|---|
| 0.3575 | 0.12 | 250 | 0.3463 | 0.5176 | 0.6948 | 0.0 |
| 0.347 | 0.24 | 500 | 0.3424 | 0.4507 | 0.6503 | 0.0714 |
| 0.347 | 0.36 | 750 | 0.3390 | 0.4507 | 0.6503 | 0.0714 |
| 0.3398 | 0.48 | 1000 | 0.3248 | 0.4872 | 0.6726 | 0.0 |
| 0.3485 | 0.6 | 1250 | 0.3322 | 0.5000 | 0.6785 | 0.0 |
| 0.3355 | 0.71 | 1500 | 0.3407 | 0.4872 | 0.6726 | 0.0 |