add model weights and config

config.json

@@ -0,0 +1,85 @@
+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "correlation",
+    "1": "causal_explanation",
+    "2": "boolean_and",
+    "3": "mode",
+    "4": "superlative",
+    "5": "opinion",
+    "6": "set_difference",
+    "7": "set_retrieval",
+    "8": "datetime_retrieval",
+    "9": "datetime_comparison",
+    "10": "median",
+    "11": "definitional",
+    "12": "boolean_retrieval",
+    "13": "qualitative_property_retrieval",
+    "14": "qualitative_property_multihop_retrieval",
+    "15": "range",
+    "16": "numeric_comparison",
+    "17": "numeric_retrieval",
+    "18": "arithmetic",
+    "19": "mathematical_comparison",
+    "20": "set_property_satisfaction",
+    "21": "counting",
+    "22": "average",
+    "23": "set_intersection",
+    "24": "qualitative_comparison",
+    "25": "standard_deviation",
+    "26": "set_union",
+    "27": "boolean_or"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "arithmetic": 18,
+    "average": 22,
+    "boolean_and": 2,
+    "boolean_or": 27,
+    "boolean_retrieval": 12,
+    "causal_explanation": 1,
+    "correlation": 0,
+    "counting": 21,
+    "datetime_comparison": 9,
+    "datetime_retrieval": 8,
+    "definitional": 11,
+    "mathematical_comparison": 19,
+    "median": 10,
+    "mode": 3,
+    "numeric_comparison": 16,
+    "numeric_retrieval": 17,
+    "opinion": 5,
+    "qualitative_comparison": 24,
+    "qualitative_property_multihop_retrieval": 14,
+    "qualitative_property_retrieval": 13,
+    "range": 15,
+    "set_difference": 6,
+    "set_intersection": 23,
+    "set_property_satisfaction": 20,
+    "set_retrieval": 7,
+    "set_union": 26,
+    "standard_deviation": 25,
+    "superlative": 4
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0",
+  "vocab_size": 30522
+}

pretrained_model/config.json

@@ -1,85 +0,0 @@
-{
-  "_name_or_path": "distilbert-base-uncased",
-  "activation": "gelu",
-  "architectures": [
-    "DistilBertForSequenceClassification"
-  ],
-  "attention_dropout": 0.1,
-  "dim": 768,
-  "dropout": 0.1,
-  "hidden_dim": 3072,
-  "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4",
-    "5": "LABEL_5",
-    "6": "LABEL_6",
-    "7": "LABEL_7",
-    "8": "LABEL_8",
-    "9": "LABEL_9",
-    "10": "LABEL_10",
-    "11": "LABEL_11",
-    "12": "LABEL_12",
-    "13": "LABEL_13",
-    "14": "LABEL_14",
-    "15": "LABEL_15",
-    "16": "LABEL_16",
-    "17": "LABEL_17",
-    "18": "LABEL_18",
-    "19": "LABEL_19",
-    "20": "LABEL_20",
-    "21": "LABEL_21",
-    "22": "LABEL_22",
-    "23": "LABEL_23",
-    "24": "LABEL_24",
-    "25": "LABEL_25",
-    "26": "LABEL_26",
-    "27": "LABEL_27"
-  },
-  "initializer_range": 0.02,
-  "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_10": 10,
-    "LABEL_11": 11,
-    "LABEL_12": 12,
-    "LABEL_13": 13,
-    "LABEL_14": 14,
-    "LABEL_15": 15,
-    "LABEL_16": 16,
-    "LABEL_17": 17,
-    "LABEL_18": 18,
-    "LABEL_19": 19,
-    "LABEL_2": 2,
-    "LABEL_20": 20,
-    "LABEL_21": 21,
-    "LABEL_22": 22,
-    "LABEL_23": 23,
-    "LABEL_24": 24,
-    "LABEL_25": 25,
-    "LABEL_26": 26,
-    "LABEL_27": 27,
-    "LABEL_3": 3,
-    "LABEL_4": 4,
-    "LABEL_5": 5,
-    "LABEL_6": 6,
-    "LABEL_7": 7,
-    "LABEL_8": 8,
-    "LABEL_9": 9
-  },
-  "max_position_embeddings": 512,
-  "model_type": "distilbert",
-  "n_heads": 12,
-  "n_layers": 6,
-  "pad_token_id": 0,
-  "problem_type": "single_label_classification",
-  "qa_dropout": 0.1,
-  "seq_classif_dropout": 0.2,
-  "sinusoidal_pos_embds": false,
-  "tie_weights_": true,
-  "torch_dtype": "float32",
-  "transformers_version": "4.17.0",
-  "vocab_size": 30522
-}

pretrained_model/pytorch_model.bin → pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8537e381cc4d36e9bdb0a8ccc710ae45663c7c98193b8db1297c0c4a5b2aa05a
+oid sha256:32b323f57d8047ec8a5c413b6c25ec482cecf2930884adf0a52c366001d4564a
 size 267940465