Upload config

README.md

@@ -1,27 +1,27 @@
 ---
-license: apache-2.0
 base_model: bert-base-cased
-tags:
-- generated_from_trainer
 datasets:
 - glue
+license: apache-2.0
 metrics:
 - accuracy
 - f1
+tags:
+- generated_from_trainer
 model-index:
 - name: finetuned-bert-mrpc
-  results: 
-    - task:
-        name: Text Classification
-        type: text-classification
-      dataset:
-        name: glue
-        type: glue
-        args: mrpc
-      metrics:
-        - name: F1
-          type: f1
-          value: 0.8998
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: glue
+      type: glue
+      args: mrpc
+    metrics:
+    - type: f1
+      value: 0.8998
+      name: F1
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-cased",
+  "_name_or_path": "HoangVuSnape/finetuned-bert-mrpc",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -9,8 +9,16 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
+  "id2label": {
+    "0": "not equivalent",
+    "1": "equivalent"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
+  "label2id": {
+    "equivalent": 1,
+    "not equivalent": 0
+  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",