removing the incorrect model weights

config.json

@@ -1,39 +1,29 @@
 {
-  "architectures": [
-    "BertForSequenceClassification"
-  ],
   "attention_probs_dropout_prob": 0.1,
   "directionality": "bidi",
-  "gradient_checkpointing": false,
+  "finetuning_task": null,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3
-  },
+  "is_decoder": false,
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "bert",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
+  "num_labels": 4,
+  "output_attentions": false,
+  "output_hidden_states": false,
   "output_past": true,
-  "pad_token_id": 0,
   "pooler_fc_size": 768,
   "pooler_num_attention_heads": 12,
   "pooler_num_fc_layers": 3,
   "pooler_size_per_head": 128,
   "pooler_type": "first_token_transform",
+  "pruned_heads": {},
+  "torchscript": false,
   "type_vocab_size": 2,
+  "use_bfloat16": false,
   "vocab_size": 49601
 }

pytorch_model.bin

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:38b4145747dcc46d1dc62cc2be0a861100c6f787e1c036213adc5ae49fd1b4a4
-size 496602227

vocab.txt

@@ -1,5 +1,6 @@
-[EOS]
 [PAD]
+[EOS]
+[unused00]
 [unused0]
 [unused1]
 [unused2]