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ThuyNT03/xlm-roberta-base-Final_Mixed-aug_replace_BERT
xlm-roberta-base-Final_Mixed-aug_replace_BERT 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 |
|---|---|---|---|---|---|
| 1.0302 | 1.0 | 88 | 0.7777 | 0.65 | 0.5577 |
| 0.8613 | 2.0 | 176 | 0.8306 | 0.64 | 0.5873 |
| 0.749 | 3.0 | 264 | 0.6579 | 0.78 | 0.7786 |
| 0.651 | 4.0 | 352 | 0.5910 | 0.8 | 0.7940 |
| 0.5433 | 5.0 | 440 | 0.6380 | 0.8 | 0.7990 |
| 0.4788 | 6.0 | 528 | 0.6970 | 0.8 | 0.7980 |
| 0.382 | 7.0 | 616 | 0.7462 | 0.79 | 0.7874 |
| 0.3708 | 8.0 | 704 | 0.7663 | 0.79 | 0.7874 |