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charisgao/wnc-pretrain
wnc-pretrain is a text classification model from charisgao. 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 roberta-base 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.6994 | 0.0061 | 250 | 0.6909 | 0.5946 | 0.1740 | 0.2692 | 0.5296 |
| 0.6935 | 0.0122 | 500 | 0.6461 | 0.6368 | 0.5923 | 0.6138 | 0.6288 |
| 0.6862 | 0.0184 | 750 | 0.6710 | 0.6268 | 0.6416 | 0.6341 | 0.6313 |
| 0.6629 | 0.0245 | 1000 | 0.8414 | 0.5772 | 0.7777 | 0.6626 | 0.6056 |
| 0.6729 | 0.0306 | 1250 | 0.6509 | 0.6373 | 0.5992 | 0.6177 | 0.6306 |