rerun merge_peft_adapter.py with classification model

config.json

@@ -2,7 +2,7 @@
   "_name_or_path": "bigscience/bloomz-1b1",
   "apply_residual_connection_post_layernorm": false,
   "architectures": [
-    "BloomForCausalLM"
+    "BloomForSequenceClassification"
   ],
   "attention_dropout": 0.0,
   "attention_softmax_in_fp32": true,
@@ -11,7 +11,13 @@
   "eos_token_id": 2,
   "hidden_dropout": 0.0,
   "hidden_size": 1536,
+  "id2label": {
+    "0": "LABEL_0"
+  },
   "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
   "layer_norm_epsilon": 1e-05,
   "masked_softmax_fusion": true,
   "model_type": "bloom",

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9baf5fae124ded941a036d2b20b7424056341e36dbc6ee4debf45ef7e16037c0
-size 2135458913
+oid sha256:abac634665bfa8e983d9735e054988e5a9e59dcad72f26bc33b1311671c8f7c6
+size 2135462181