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PlacidWombat/stress_roBERTa_classifier
stress_roBERTa_classifier is a text classification model from PlacidWombat. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
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 mental/mental-roberta-base finetuned on the dreaddit dataset which is used to classify stress. It achieves the following results on the validation set:
When used on an unseen test set, it achieves an F1 score of 0.839 for 369 Stressed datapoints and 0.813 for 346 Non-Stressed datapoints.
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 142 | 0.3467 | 0.8505 |
| No log | 2.0 | 284 | 0.3997 | 0.8455 |
| No log | 3.0 | 426 | 0.5040 | 0.8571 |