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Kuongan/CS221-xlm-roberta-base-vmw-finetuned-finetuned-vmw-tapt
CS221-xlm-roberta-base-vmw-finetuned-finetuned-vmw-tapt is a text classification model from Kuongan. 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 Kuongan/xlm-roberta-base-vmw-finetuned 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 | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.2512 | 1.0 | 102 | 0.2284 | 0.0 | 0.5 | 0.6197 |
| 0.2558 | 2.0 | 204 | 0.2284 | 0.0 | 0.5 | 0.6197 |
| 0.2424 | 3.0 | 306 | 0.2279 | 0.0 | 0.5 | 0.6197 |
| 0.2709 | 4.0 | 408 | 0.2283 | 0.0 | 0.5 | 0.6197 |