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enansari/emotion_roberta_weighted
emotion_roberta_weighted is a text classification model from enansari. 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 |
|---|---|---|---|---|---|---|---|
| 0.2861 | 1.0 | 1000 | 0.2311 | 0.919 | 0.9249 | 0.919 | 0.9202 |
| 0.1594 | 2.0 | 2000 | 0.2092 | 0.9345 | 0.9365 | 0.9345 | 0.9349 |
| 0.1456 | 3.0 | 3000 | 0.1861 | 0.933 | 0.9388 | 0.933 | 0.9344 |
| 0.1305 | 4.0 | 4000 | 0.1861 | 0.942 | 0.9455 | 0.942 | 0.9429 |
| 0.0951 | 5.0 | 5000 | 0.2107 | 0.9375 | 0.9405 | 0.9375 | 0.9384 |