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mrft/emotion_roberta_weighted
emotion_roberta_weighted is a text classification model from mrft. 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. --
Downloads · 30 days
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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:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.2784 | 1.0 | 1000 | 0.2434 | 0.9205 | 0.9287 | 0.9205 | 0.9220 |
| 0.1785 | 2.0 | 2000 | 0.2252 | 0.93 | 0.9333 | 0.93 | 0.9309 |
| 0.1478 | 3.0 | 3000 | 0.2098 | 0.9315 | 0.9363 | 0.9315 | 0.9326 |
| 0.1445 | 4.0 | 4000 | 0.2058 | 0.94 | 0.9420 | 0.94 | 0.9405 |
| 0.1028 | 5.0 | 5000 | 0.2214 | 0.9375 | 0.9404 | 0.9375 | 0.9383 |