Commit History
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link the published week-in-review article (Geometric Memory FT5)
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link the technical companion from the card
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references+attribution section, inline citations
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technical companion (week-in-review docket, verified)
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remove stray: byte-identical duplicate (sha256 45bcbf0c) of amoe/sts/captionbert-v2-sts-anchor.anchor.pt, which survives. The combo folder ships only its own -combo anchor; the solo anchor sitting here invited loading the wrong artifact
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card: attach path pointed at amoe/sts/ for a file that lives in amoe/sts-combo/ (404); added the measured step-500 results and the trunk/ckpt pairing
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card: moe-v2 carries its OWN numbers and the tau sweep (sharper routing is worse, monotone in 2 seeds while separation rises). Load path pointed at amoe/moe/ whose anchors are a DIFFERENT checkpoint (f13ad5ad vs 0029ad69) - fixed to this folder
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card: this folder is the 3-ANCHOR COLLECTIVE, not the 2-anchor moe run - the moe card had been copied here wholesale (wrong title, wrong anchor table, wrong results, moe-v1 amplitude telemetry). Real 8-task rows, greedy sweep incl. the random capacity control, correct in-folder load paths, masked-vs-solo labelled
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modeling: AMOE_REPO resolves from config._name_or_path, not a hardcoded v2 - anchors are TRUNK-BOUND (v2 arms lose 31%% of their gain on the -B trunk, .7287 -> .6863; key realignment recovers 29%%). Dispatch is now the first candidate PRESENT in the loaded repo, with a local-dir hint on miss.
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Upload CaptionBert_V2.ipynb
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Create full_benchmark.py
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Update README.md
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final (config)
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final (tensorboard)
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final (checkpoints)
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Update README.md
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Update modeling_captionbert.py
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Update README.md
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final: 2 anchors + dispatch + card
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arm random
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arm topical
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arm lexical
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arm paraphrase
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arm simplify
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arm equiv
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final: 2 anchors + dispatch + card
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Create train_amoe_v2_2anchor_equiv_simplify.py
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anchor simplify
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anchor equiv
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Create early_eval.py
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Create pretrain_trainer.py
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Create trainers/train_amoe_2anchor_equi_simplify.py
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final: 2 anchors + dispatch + card
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anchor simplify
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anchor equiv
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AutoModel: safetensors + config + modeling + card
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AutoModel: safetensors + config + modeling + card
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Create modeling_captionbert.py
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step 500
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final anchor
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step 4000
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step 3500
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step 3000
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step 2500
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step 2000
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step 1500
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step 1000
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step 500
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final (tensorboard)
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final (checkpoints)
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