Update config.json

config.json

@@ -1,8 +1,46 @@
 {
-  "model_type": "TransformerTokenClassificationModel",
-  "model_name_or_path": "bert-base-uncased",
-  "num_classes": 11,
-  "learning_rate": 1e-05,
-  "label_pad_token_id": -100,
-  "ignore_index": 0
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-GeographicalLocation",
+    "2": "I-GeographicalLocation",
+    "3": "B-Habitat",
+    "4": "I-Habitat",
+    "5": "B-Person",
+    "6": "I-Person",
+    "7": "B-Taxon",
+    "8": "I-Taxon",
+    "9": "B-TemporalExpression",
+    "10": "I-TemporalExpression"
+  },
+  "intermediate_size": 3072,
+  "label_to_id": {
+    "O": 0,
+    "B-GeographicalLocation": 1,
+    "I-GeographicalLocation": 2,
+    "B-Habitat": 3,
+    "I-Habitat": 4,
+    "B-Person": 5,
+    "I-Person": 6,
+    "B-Taxon": 7,
+    "I-Taxon": 8,
+    "B-TemporalExpression": 9,
+    "I-TemporalExpression": 10
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "max_window": 512,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
 }