Update model after training on balanced dataset (95.6K examples, 3 epochs)

adapter_config.json

@@ -6,12 +6,17 @@
   "fan_in_fan_out": false,
   "inference_mode": true,
   "init_lora_weights": true,
+  "layer_replication": null,
   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
   "lora_alpha": 32,
   "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
   "modules_to_save": [
+    "score",
+    "classifier",
     "score"
   ],
   "peft_type": "LORA",
@@ -19,13 +24,15 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
+    "up_proj",
+    "v_proj",
     "down_proj",
     "k_proj",
-    "v_proj",
+    "q_proj",
     "gate_proj",
-    "up_proj",
     "o_proj"
   ],
-  "task_type": "SEQ_CLS"
-}
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}