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eval_wt_vs_kd_edit_tight_7cell_20260505/run.log
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[transformers] You are using a model of type `ntv3_posttrained` to instantiate a model of type `ntv3_conditioned`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating.
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[transformers] [1mNTv3Generative LOAD REPORT[0m from: /workspace/dnathinker/ntv3_local/100m_post
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Key | Status | |
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----------------------------------------------------------------------------------+------------+--+-
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core.bigwig_head.species_heads.{5, 6, 7, 8, 13, 16, 18, 21, 23}.layer_norm.bias | UNEXPECTED | |
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core.bigwig_head.species_heads.{5, 6, 7, 8, 13, 16, 18, 21, 23}.head.weight | UNEXPECTED | |
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core.bigwig_head.species_heads.{5, 6, 7, 8, 13, 16, 18, 21, 23}.head.bias | UNEXPECTED | |
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core.bigwig_head.species_heads.{5, 6, 7, 8, 13, 16, 18, 21, 23}.layer_norm.weight | UNEXPECTED | |
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core.bed_head.head.weight | UNEXPECTED | |
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core.bed_head.head.bias | UNEXPECTED | |
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core.bed_head.layer_norm.weight | UNEXPECTED | |
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core.bed_head.layer_norm.bias | UNEXPECTED | |
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Notes:
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- UNEXPECTED: can be ignored when loading from different task/architecture; not ok if you expect identical arch.
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[transformers] You are using a model of type `ntv3_posttrained` to instantiate a model of type `ntv3_conditioned`. This may be expected if you are loading a checkpoint that shares a subset of the architecture (e.g., loading a `sam2_video` checkpoint into `Sam2Model`), but is otherwise not supported and can yield errors. Please verify that the checkpoint is compatible with the model you are instantiating.
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[wt-vs-kd] trunk loaded: missing=0 unexpected=12
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[t3-rl] [§B] loaded KD tables: [('Ex', 20), ('In', 20), ('OPC', 20), ('Ast', 20), ('Oli', 20), ('Mic', 20), ('End', 20)]
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[wt-vs-kd] stratified rows per cell: {'Ex': 100, 'In': 100, 'OPC': 100, 'Ast': 100, 'Oli': 100, 'Mic': 100, 'End': 100}; total = 700
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