Model save

README.md

@@ -27,7 +27,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/kmin940_/huggingface/runs/khezknf9)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/kmin940_/huggingface/runs/cu1kgxdh)
 
 This model was trained with SFT.
 

adapter_config.json

@@ -20,13 +20,17 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "down_proj",
+    "k_proj",
     "o_proj",
-    "q_proj",
     "gate_proj",
-    "up_proj",
-    "k_proj"
+    "down_proj",
+    "multi_modal_projector.layers.0",
+    "v_proj",
+    "multi_modal_projector.layers.4",
+    "multi_modal_projector.layers.6",
+    "multi_modal_projector.layers.2",
+    "q_proj",
+    "up_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:630aaaf8cd0b762b250a43b90ee9e95e65bd70231c7758a5da57e13a5c0d38db
-size 1279330672
+oid sha256:9c4b8b59de7aeac0c3d32c72ffd194fa28261390b195f8e96bcd4e5a943bc608
+size 1294405056

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1fa48ae0f2cc4a939677d3bfe549af7e70e6b7669140ff46940fbbe9097d3790
+oid sha256:d186f45d3e7e696b0ca518c556df46f43b5c129da06c02531a2bb2dfc0ed11c0
 size 5560