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ThuyNT03/xlm-roberta-base-Final_Mixed-aug_replace_w2v
xlm-roberta-base-Final_Mixed-aug_replace_w2v is a text classification model from ThuyNT03. 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. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of xlm-roberta-base 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 |
|---|---|---|---|---|---|
| 1.05 | 1.0 | 86 | 0.8140 | 0.67 | 0.6300 |
| 0.857 | 2.0 | 172 | 0.6946 | 0.71 | 0.6754 |
| 0.6629 | 3.0 | 258 | 0.7705 | 0.73 | 0.7242 |
| 0.5325 | 4.0 | 344 | 0.8127 | 0.71 | 0.6986 |
| 0.4073 | 5.0 | 430 | 0.7205 | 0.72 | 0.7185 |
| 0.3112 | 6.0 | 516 | 0.8922 | 0.72 | 0.7187 |
| 0.247 | 7.0 | 602 | 0.9664 | 0.73 | 0.7236 |
| 0.1797 | 8.0 | 688 | 0.9706 | 0.74 | 0.7367 |