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Kosee/roberta-base-finetuned-emotion
roberta-base-finetuned-emotion is a text classification model from Kosee. 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 the emotion dataset. It achieves the following results on the evaluation set:
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More information needed
The model has trained twice. In the first run hyperparameters was the same except num_epochs was 3. So results below actually shows 8 epoch of fine-tuning in total.
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1508 | 1.0 | 250 | 0.1969 | 0.934 | 0.9334 |
| 0.1035 | 2.0 | 500 | 0.1660 | 0.9335 | 0.9341 |
| 0.0926 | 3.0 | 750 | 0.1626 | 0.935 | 0.9359 |
| 0.0855 | 4.0 | 1000 | 0.1680 | 0.934 | 0.9337 |
| 0.0682 | 5.0 | 1250 | 0.1669 | 0.94 | 0.9404 |