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hiseulgi/roberta-stunting-medsos-sentiment
roberta-stunting-medsos-sentiment is a text classification model from hiseulgi. 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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.safetensors499 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 314 | 0.4554 | 0.8487 | 0.8401 | 0.7848 | 0.8018 |
| 0.4659 | 2.0 | 628 | 0.5678 | 0.8567 | 0.8501 | 0.7946 | 0.8133 |
| 0.4659 | 3.0 | 942 | 0.6851 | 0.8535 | 0.8278 | 0.8404 | 0.8247 |
| 0.1838 | 4.0 | 1256 | 0.8474 | 0.8742 | 0.8476 | 0.8470 | 0.8451 |
| 0.0176 | 5.0 | 1570 | 0.8784 | 0.8742 | 0.8496 | 0.8438 | 0.8441 |