PEFTTrainer with production-grade training loop:
- PyTorch DDP multi-GPU via torchrun
- Mixed-precision training (fp16/bf16) with GradScaler
- Gradient checkpointing for long contexts
- Cosine-with-warmup LR schedule
- MSE loss + optional pinball quantile loss (9 channels)
- Early stopping on validation loss
- Adapter-only checkpointing (safetensors)
- W&B logging (rank-0 only)
- Differentiable training forward that replicates the 2.5
patch -> RevIN -> transformer -> output-head -> un-RevIN path
darkpowerxo
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