Fine tuning on first 10k dataset for 5 epochs, made the model's head as Trainable

adapter_config.json

@@ -7,11 +7,11 @@
   "init_lora_weights": true,
   "layers_pattern": null,
   "layers_to_transform": null,
-  "lora_alpha": 32,
+  "lora_alpha": 16,
   "lora_dropout": 0.05,
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 16,
+  "r": 8,
   "revision": null,
   "target_modules": [
     "q",

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9cf2eee39def3eae5410f409f810358c45babf7c0e61f8efff36988bf66b6f9
-size 18980429
+oid sha256:7dde852d2bfa33a10b7a3eb5e17457cdb1995fc217d74241afbce60284e11b81
+size 9543245