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Wisaba/emotion_roberta_weighted
emotion_roberta_weighted is a text classification model from Wisaba. 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 |
|---|---|---|---|---|---|---|---|
| 0.3177 | 1.0 | 1000 | 0.2423 | 0.918 | 0.9245 | 0.918 | 0.9195 |
| 0.1804 | 2.0 | 2000 | 0.1776 | 0.931 | 0.9366 | 0.931 | 0.9317 |
| 0.1504 | 3.0 | 3000 | 0.1740 | 0.935 | 0.9410 | 0.935 | 0.9362 |
| 0.1203 | 4.0 | 4000 | 0.1723 | 0.9405 | 0.9438 | 0.9405 | 0.9413 |
| 0.0889 | 5.0 | 5000 | 0.2068 | 0.939 | 0.9420 | 0.939 | 0.9398 |