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Log effective Torch fine-tune and JAX runtime settings
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#288:
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reaction-relative-loss
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Log active fine-tuning wrapper freeze settings
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Reaction relative training
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#286:
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Make MACE fine-tuning layer ranges follow forward block order
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#285:
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Fix Torch loss monitors to honor monitored loss types
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#284:
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Support PolarMACE metadata and MACE Batch compatibility
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Add preprocess target availability summaries for energy, forces, and …
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Add Torch freeze fine-tuning wrapper with semantic MACE layer selection
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Add semantic layer freezing support to Torch delta fine-tuning
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Fix Torch fine-tune checkpoint serialization for wrapped MACE models
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Graph Update: pip in /. #1465352627
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Add configurable retention for best training checkpoints
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Enable global JAX shard_map train/eval with distributed padding, coun…
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New shard_map test
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Use replicated params and state for JAX shard_map training/evaluation…
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Replace JAX multi-device pmap execution with shard_map and add covera…
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Reduce pytest warning noise and add coverage for fine-tune export met…
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Graph Update: pip in /. #1416740431
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Enable export to auto-detect and merge fine-tune adapter checkpoints …
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Document fine-tuned Torch checkpoint export workflow and fine-tuning …
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Add optional prediction output export files and document equitrain-pr…
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Document evaluation output files and --output-dir usage in the README
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Add optional evaluation output files for torch and JAX backends and c…
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rmax override test
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