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Kuongan/CS221-xlm-roberta-base-esp-noaug-finetuned-esp-tapt
CS221-xlm-roberta-base-esp-noaug-finetuned-esp-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-esp-noaug on the None dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.1433 | 1.0 | 97 | 0.1252 | 0.9137 | 0.9363 | 0.8194 |
| 0.1429 | 2.0 | 194 | 0.1285 | 0.9081 | 0.9329 | 0.7974 |
| 0.1173 | 3.0 | 291 | 0.1254 | 0.8989 | 0.9316 | 0.7806 |
| 0.1155 | 4.0 | 388 | 0.1270 | 0.9111 | 0.9378 | 0.8013 |