InterGen
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Resulting R_precision accuracy is always higher than the ground truth
Hello, I've tried many methods, but the resulting R_precision accuracy is always higher than the ground truth (GT). Is this situation normal, and is there a solution? Thank you very much.
Try training from scratch.
Try training from scratch.
Hello,
Are you suggesting that we should retrain the Intergen model itself, or are you referring to retraining the feature extractor used for feature extraction?