1 result
for model-merging
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The conventional recipe is: train many models with different hyperparameters, keep the best on a validation set, discard the rest. Wortsman et al. (arXiv:2203.05482, ICML 2022) replace that second stefield/model-soups · fine-tuning, weight-averaging, model-merging, training, image-classification