Update muc_config.jsonnet (#6)

Fixed the MUC config per #4

resources/training_configs/muc_config.jsonnet

@@ -48,11 +48,6 @@ local initializer = {
     ["event_arg_embeddings.weight", {"mean": 0, "std": 0.02, "type": "normal"}],
     ["span_type_embeddings.weight", {"mean": 0, "std": 0.02, "type": "normal"}],
     ["slot_type_embeddings.weight", {"mean": 0, "std": 0.02, "type": "normal"}],
-    # Memory RNN
-
-    # GNN
-    ["hetero_gnn.*lin.*\\.weight", {"mean": 0, "std": 0.02, "type": "normal"}],
-    ["hetero_gnn.*att", {"mean": 0, "std": 0.02, "type": "normal"}],
     # Graph encoder
     [".*_transformer.*linear.*\\.weight", {"mean": 0, "std": 0.02, "type": "normal"}],
     [".*_transformer.*self_attn.*\\.in_proj_weight", {"mean": 0, "std": 0.02, "type": "normal"}],
@@ -64,7 +59,7 @@ local initializer = {
 
 local metrics = {
   muc: {
-    type: "jhu_muc",
+    type: "iterx_muc",
     ignore_no_template_doc: true,
     sanitize_special_chars: true,
     doc_path: {
@@ -112,8 +107,6 @@ local model = {
   "pairwise_scoring": true,
   "span_sampling_rate": span_sampling_rate,
   "expert_roll_out": 0.6,
-  "edge_feature_dim": 256,
-  "use_gnn": false,
   "graph_encoder": graph_encoder,
   "iteration_cutoff": iteration_cutoff,
   "lexical_dropout": lexical_dropout,
@@ -148,7 +141,7 @@ local model = {
   "trainer": {
     "num_epochs": 150, # originally 500
     "patience" : 30, # originally 50
-    "validation_metric": "+jhu_muc_slot_f1",
+    "validation_metric": "+iterx_muc_slot_f1",
     "grad_norm": 1.0,
     "learning_rate_scheduler": {
       "type": "polynomial_decay",