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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_insert_tfidf-2
xlm-roberta-base-Final_VietNam-aug_insert_tfidf-2 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 |
|---|---|---|---|---|---|
| 0.9961 | 1.0 | 87 | 0.7882 | 0.65 | 0.6486 |
| 0.6973 | 2.0 | 174 | 0.6384 | 0.74 | 0.7318 |
| 0.505 | 3.0 | 261 | 0.7191 | 0.71 | 0.7165 |
| 0.3523 | 4.0 | 348 | 0.9789 | 0.7 | 0.7069 |
| 0.2673 | 5.0 | 435 | 1.2185 | 0.62 | 0.6334 |
| 0.1981 | 6.0 | 522 | 1.3523 | 0.63 | 0.6450 |
| 0.1238 | 7.0 | 609 | 1.3258 | 0.69 | 0.6975 |
| 0.1187 | 8.0 | 696 | 1.3553 | 0.7 | 0.7089 |