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Khalil Meftah
6a788fbdb0
* refactor(training): rename eval_freq to env_eval_freq - Rename eval_freq to env_eval_freq to distinguish sim environment evaluation from offline loss evaluation. * feat(training): add inline offline validation with train/eval split - Add eval_split config for balanced per-task holdout - Add eval_steps for periodic inline eval loss computation - Add max_eval_samples to cap eval cost * fix(datasets): remap absolute indices in __getitem__ for filtered datasets * fix(train): vectorize eval subset selection for max_eval_samples * fix(datasets): Move the remapping into EpisodeAwareSampler via absolute_to_relative_idx * fix(validation): add eval_split range check and eval_steps warning Validate eval_split is in [0.0, 1.0) to prevent garbage splits from out-of-range values. Raise when eval_steps > 0 but eval_split is 0.0 since no offline eval will run. * fix(train): prepare eval dataloader with accelerator for multi-GPU Prepare eval_dataloader through accelerator.prepare() so eval data is sharded across ranks instead of duplicated. Reduce eval_loss across ranks with mean reduction for consistent logging. * fix(test): rename eval_freq to env_eval_freq for multi-GPU training