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rohanphadke/roberta-finetuned-triplebottomline
roberta-finetuned-triplebottomline is a text classification model from rohanphadke. 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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From the Hugging Face model README
This model is a fine-tuned version of DistilRoBERTa-base 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 | Precision | Recall | F1 | Roc Auc | Krippendorff Alpha |
|---|---|---|---|---|---|---|---|---|
| 0.4512 | 1.0 | 281 | 0.4029 | 0.8631 | 0.9135 | 0.8876 | 0.9159 | 0.6416 |
| 0.3139 | 2.0 | 562 | 0.2793 | 0.9558 | 0.8676 | 0.9096 | 0.9517 | 0.7514 |
| 0.2286 | 3.0 | 843 | 0.2247 | 0.9522 | 0.9140 | 0.9327 | 0.9661 | 0.8057 |
| 0.1852 | 4.0 | 1124 | 0.2174 | 0.9605 | 0.9113 | 0.9353 | 0.9687 | 0.8151 |