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bellinghesam/emotion_roberta_weighted
emotion_roberta_weighted is a text classification model from bellinghesam. 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 roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.2588 | 1.0 | 1000 | 0.2401 | 0.9185 | 0.9285 | 0.9185 | 0.9208 |
| 0.1856 | 2.0 | 2000 | 0.2177 | 0.9285 | 0.9348 | 0.9285 | 0.9300 |
| 0.144 | 3.0 | 3000 | 0.1773 | 0.928 | 0.9377 | 0.928 | 0.9301 |
| 0.1139 | 4.0 | 4000 | 0.2212 | 0.9315 | 0.9388 | 0.9315 | 0.9331 |
| 0.0937 | 5.0 | 5000 | 0.2179 | 0.9295 | 0.9349 | 0.9295 | 0.9310 |