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Hanisnabila/result5
result5 is a text classification model from Hanisnabila. Use it when you need a label for a piece of text. It is set up for transformers.
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 cardiffnlp/twitter-roberta-base-sentiment-latest 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 | Accuracy |
|---|---|---|---|---|
| 0.918 | 1.0 | 723 | 0.8138 | 0.5976 |
| 0.8076 | 2.0 | 1446 | 0.7441 | 0.6526 |
| 0.6241 | 3.0 | 2169 | 0.7686 | 0.6668 |
| 0.5388 | 4.0 | 2892 | 0.8273 | 0.6619 |
| 0.4128 | 5.0 | 3615 | 0.8671 | 0.6654 |
| 0.3533 | 6.0 | 4338 | 1.0156 | 0.6678 |
| 0.2767 | 7.0 | 5061 | 1.1771 | 0.6734 |
| 0.2269 | 8.0 | 5784 | 1.3952 | 0.6671 |
| 0.1886 | 9.0 | 6507 | 1.5021 | 0.6702 |
| 0.1501 | 10.0 | 7230 | 1.5748 | 0.6675 |