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Kuongan/CS221-xlm-roberta-base-swe-noaug-finetuned-swe-tapt
CS221-xlm-roberta-base-swe-noaug-finetuned-swe-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-swe-noaug on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.1472 | 1.0 | 65 | 0.1252 | 0.5640 | 0.7626 | 0.8291 |
| 0.1515 | 2.0 | 130 | 0.1321 | 0.5584 | 0.7726 | 0.8175 |
| 0.1379 | 3.0 | 195 | 0.1367 | 0.5553 | 0.7566 | 0.7922 |
| 0.1335 | 4.0 | 260 | 0.1286 | 0.5505 | 0.7563 | 0.8175 |