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Trong-Nghia/roberta-large-detect-dep-v2
roberta-large-detect-dep-v2 is a text classification model from Trong-Nghia. 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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From the Hugging Face model README
This model is a fine-tuned version of roberta-large 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 | F1 |
|---|---|---|---|---|---|
| 0.6278 | 1.0 | 751 | 0.5546 | 0.763 | 0.8227 |
| 0.5472 | 2.0 | 1502 | 0.5449 | 0.743 | 0.8160 |
| 0.4787 | 3.0 | 2253 | 0.5744 | 0.72 | 0.7929 |
| 0.423 | 4.0 | 3004 | 0.7290 | 0.702 | 0.7799 |
| 0.3803 | 5.0 | 3755 | 0.7719 | 0.691 | 0.7625 |