Upload fine-tuned LoRA adapter

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/ajdrh-sungshin-women-s-university/huggingface/runs/tytoa25r)
+
 
 This model was trained with SFT.
 

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "gate_proj",
+    "v_proj",
+    "k_proj",
     "up_proj",
-    "o_proj",
     "q_proj",
-    "k_proj",
-    "v_proj",
-    "down_proj"
+    "down_proj",
+    "gate_proj",
+    "o_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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special_tokens_map.json

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     "rstrip": false,
     "single_word": false
   },
-  "pad_token": {
-    "content": "<|eot_id|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
+  "pad_token": "<|eot_id|>"
 }

tokenizer.json

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training_args.bin

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