Clean up redundant config.
@@ -139,60 +139,51 @@ write_preds = 0 // if true, write test predictions; will likely break for non-G
sts-b_classifier_hid_dim = 128
sts-b_classifier_dropout = 0.4
sts-b_pair_attn = 0
-sts-b_lr = .0001
sts-b_max_vals = 50 // only affects eval-training
sts-b_val_interval = 100 // only affects eval-training
mrpc_classifier_hid_dim = 128
mrpc_classifier_dropout = 0.4
mrpc_pair_attn = 0
-mrpc_lr = .0001
mrpc_max_vals = 50
mrpc_val_interval = 100
rte_classifier_hid_dim = 128
rte_classifier_dropout = 0.4
rte_pair_attn = 0
-rte_lr = .0001
rte_max_vals = 50
rte_val_interval = 100
wnli_classifier_hid_dim = 128
wnli_classifier_dropout = 0.4
wnli_pair_attn = 0
-wnli_lr = .0001
wnli_max_vals = 50
wnli_val_interval = 100
qqp_classifier_hid_dim = 512
qqp_classifier_dropout = 0.2
qqp_pair_attn = 1
-qqp_lr = .0001
qqp_max_vals = 15
qqp_val_interval = 10000
qnli_classifier_hid_dim = 512
qnli_classifier_dropout = 0.2
qnli_pair_attn = 1
-qnli_lr = .0001
qnli_max_vals = 25
qnli_val_interval = 10000
mnli_classifier_hid_dim = 512
mnli_classifier_dropout = 0.2
mnli_pair_attn = 1
-mnli_lr = .0001
mnli_max_vals = 15
mnli_val_interval = 10000
cola_classifier_hid_dim = 512
cola_classifier_dropout = 0.2
-cola_lr = .0001
cola_max_vals = 25
cola_val_interval = 100
sst_classifier_hid_dim = 512
sst_classifier_dropout = 0.2
-sst_lr = .0001
sst_max_vals = 25
sst_val_interval = 500
