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Syggo/sentiment-roberta-id
sentiment-roberta-id is a text classification model from Syggo. 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 · 99%
From the Hugging Face model README
This model is a fine-tuned version of w11wo/indonesian-roberta-base-sentiment-classifier on an unknown 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 |
|---|---|---|---|
| No log | 1.0 | 150 | 0.5886 |
| 0.6801 | 2.0 | 300 | 0.5326 |
| 0.6801 | 3.0 | 450 | 0.5072 |
| 0.3988 | 4.0 | 600 | 0.5489 |
| 0.2499 | 5.0 | 750 | 0.5642 |
| 0.2499 | 6.0 | 900 | 0.5815 |
| 0.1375 | 7.0 | 1050 | 0.6465 |
| 0.1375 | 8.0 | 1200 | 0.6812 |
| 0.0895 | 9.0 | 1350 | 0.6984 |
| 0.0570 | 10.0 | 1500 | 0.7220 |