init

experiments/baseline_lm_lc.py

@@ -40,7 +40,7 @@ for lm, ppl_class, batch, pretty_name in [
     ("facebook/opt-125m", LM, 256, "OPT\textsubscript{125M}"),
     ("facebook/opt-iml-30b", LM, 1, "OPT-IML\textsubscript{30B}"),
     ("facebook/opt-iml-1.3b", LM, 1, "OPT-IML\textsubscript{1.3B}"),
-    # ("facebook/opt-iml-max-30b", LM, 1, "OPT-IML\textsubscript{MAX-30B}"),
+    ("facebook/opt-iml-max-30b", LM, 1, "OPT-IML\textsubscript{MAX-30B}"),
     ("facebook/opt-iml-max-1.3b", LM, 1, "OPT-IML\textsubscript{MAX-1.3B}"),
     ("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
 ]:

experiments/baseline_lm_lc_fewshot.py

@@ -24,7 +24,6 @@ for shots in shots_num:
     shuffle(all_perms)
     shots_ref[shots] = all_perms
 
-
 full_result = []
 for lm, ppl_class, batch, pretty_name in [
             ("google/flan-ul2", EncoderDecoderLM, 1, "Flan-UL2"),

experiments/results/lm_lc/lm.csv

@@ -17,6 +17,7 @@ OPT	extsubscript{2.7B},0.6617839082166836,0.4307367076820927,0.5980792179334641,
 OPT	extsubscript{1.3B},0.6174316679600876,0.3921023243923869,0.5616838228100176,0.48487821765846983,0.47457379958043716,0.5061339664802799
 OPT	extsubscript{350M},0.48169469248657154,0.3571499792303913,0.5061636493945053,0.40226502289268884,0.272974281569549,0.40404952511474124
 OPT	extsubscript{125M},0.48600529320435076,0.409285168988368,0.5499158787006698,0.2905279206532933,0.22503489216228176,0.3921538307417927
+OPT-IML	extsubscript{30B},0.6440378906082419,0.3558763182428186,0.5676350829822163,0.6966494032704463,0.5200321481017788,0.5568461686411004
 OPT-IML	extsubscript{1.3B},0.6061643551928231,0.39118374464983446,0.5777955887284701,0.5394270768056251,0.4168298148649338,0.5062801160483372
 OPT-IML	extsubscript{MAX-30B},0.6125833091329617,0.3685743323310436,0.5747227646948349,0.6765032194870758,0.5111168415448232,0.5487000934381479
 OPT-IML	extsubscript{MAX-1.3B},0.5909364112710048,0.3755292932389407,0.590692477920735,0.5158492166090246,0.40518685793640347,0.49563885139522174