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diag-scale diag_scale_1782792056

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  1. eval-logs/diag_scale_1782792056.txt +12 -0
eval-logs/diag_scale_1782792056.txt CHANGED
@@ -23,3 +23,15 @@ RUN diag_scale_1782792056 convex+neural_feedback diag scaling curve
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  [N=20000] DIAG_MIXED mixed_ppl=32.19 mixed_acc=0.2865 (vs best standalone expert above)
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  [N=20000] DIAG_NEURAL feature_dim=40 mean_across_ctx_std=0.08081 mean_feature_l2=1.7973 word_dec_l2=54.2570 phon_dec_l2=58.7688 embed_l2=10.5850
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  [N=20000] point_elapsed_s=1493 rc=0
 
 
 
 
 
 
 
 
 
 
 
 
 
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  [N=20000] DIAG_MIXED mixed_ppl=32.19 mixed_acc=0.2865 (vs best standalone expert above)
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  [N=20000] DIAG_NEURAL feature_dim=40 mean_across_ctx_std=0.08081 mean_feature_l2=1.7973 word_dec_l2=54.2570 phon_dec_l2=58.7688 embed_l2=10.5850
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  [N=20000] point_elapsed_s=1493 rc=0
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+ ==== POINT train_docs=80000 ====
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+ [N=80000] DIAG_TRAIN train_ppl=30.0298 train_docs=80000 vocab=1056 merges=800
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+ [N=80000] expert[0]=freq ppl= 501.77 acc=0.0102 mean_logit_spread= 13.224 gate_weight=0.0188
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+ [N=80000] expert[1]=bigram ppl= 80.01 acc=0.1020 mean_logit_spread= 19.917 gate_weight=0.5350
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+ [N=80000] expert[2]=trigram ppl= 29.96 acc=0.2701 mean_logit_spread= 19.073 gate_weight=4.9433
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+ [N=80000] expert[3]=skip_bi ppl= 256.79 acc=0.0446 mean_logit_spread= 18.778 gate_weight=0.0183
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+ [N=80000] expert[4]=skip_tri ppl= 48.97 acc=0.2176 mean_logit_spread= 18.071 gate_weight=2.4329
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+ [N=80000] expert[5]=neural_p ppl= 449.32 acc=0.0148 mean_logit_spread= 8.546 gate_weight=0.0213
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+ [N=80000] expert[6]=neural_w ppl= 466.46 acc=0.0131 mean_logit_spread= 8.161 gate_weight=0.0202
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+ [N=80000] DIAG_MIXED mixed_ppl=25.99 mixed_acc=0.3036 (vs best standalone expert above)
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+ [N=80000] DIAG_NEURAL feature_dim=40 mean_across_ctx_std=0.06980 mean_feature_l2=1.6484 word_dec_l2=97.6622 phon_dec_l2=103.8278 embed_l2=10.5850
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+ [N=80000] point_elapsed_s=6416 rc=0