Results for “hyperparameter-sweeps”

3 skills

orchestra-research

weights-and-biases

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B.

10.4k · bundle

More results

tao-finetune-cosmos-reason

Fine-tune Cosmos Reason video QA models using supervised fine-tuning with FSDP parallelism, including dataset preparation, spec construction, and AutoML support.

orchestra-research

huggingface-accelerate

Add distributed training support to any PyTorch script with minimal code changes using a unified API for DDP, DeepSpeed, FSDP, and mixed precision.

10.4k · bundle