Updated to better model from random seed 123 and epoch 10 checkpoint (83.16 vs 82.36 macro F1 on Merged data)

config.json

@@ -1,6 +1,6 @@
 {
   "architectures": [
-    "ElectraClassifier"
+    "CustomElectraClassifier"
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
@@ -12,16 +12,16 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 1024,
   "id2label": {
-    "0": "negative",
-    "1": "neutral",
-    "2": "positive"
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
   },
   "initializer_range": 0.02,
   "intermediate_size": 4096,
   "label2id": {
-    "negative": 0,
-    "neutral": 1,
-    "positive": 2
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:05bdd1edd670c930c9d09794febfe75e4c0c0560d5e1114ffce8bdc130248225
 size 1353223676

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:4f138e3d706d1972f0859d0f0385a19c98ac2713c9a9ff8f13f28494986d402c
+oid sha256:58f5b5b2f4ae7408b948f753f02eff0f4659c6dc9ca0e43c494b226813e0863f
 size 1353307070