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hiseulgi/stunting-berita-sentiment
stunting-berita-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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.safetensors443 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of hiseulgi/stunting-berita-sentiment 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 |
|---|---|---|---|---|---|---|---|
| 0.4224 | 1.0 | 751 | 0.2728 | 0.9442 | 0.9145 | 0.8601 | 0.8826 |
| 0.0762 | 2.0 | 1502 | 0.4584 | 0.9385 | 0.9547 | 0.8248 | 0.8790 |
| 0.039 | 3.0 | 2253 | 0.3609 | 0.9528 | 0.9566 | 0.8739 | 0.9103 |
| 0.0075 | 4.0 | 3004 | 0.3227 | 0.9628 | 0.9249 | 0.9471 | 0.9357 |
| 0.0016 | 5.0 | 3755 | 0.3918 | 0.9542 | 0.9352 | 0.9004 | 0.9169 |