Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
Hi, If I'Ve Clearml Agents Installed On Several Servers, Each With A Single Gpu. How Can I Train A Gpt2 Model That Would Require Multiple Gpus?


I would recommend you start getting familiar with the distributed training modes (for example DDP in PyTorch). There are some important concepts that are required to train multi-GPU and multi-devices.

None

Before you start with a sophisticated model, I'd recommend to try this training setup with a baseline model, check that data, gradients, weights, metrics, etc. are synced correctly.

  
  
Posted one year ago
174 Views
0 Answers
one year ago
one year ago