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Found 4 papers, 2 papers with code
Hyperparameter Optimization for Large Language Model Instruction-Tuning
The performance on downstream tasks of models fine-tuned with LoRA heavily relies on a set of hyperparameters including the rank of the decomposition.
Efficient Training Under Limited Resources
Training time budget and size of the dataset are among the factors affecting the performance of a Deep Neural Network (DNN).
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm
Deep neural networks are getting larger.
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search
The performance of deep neural networks is highly sensitive to the choice of the hyperparameters that define the structure of the network and the learning process.
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