End of training

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/jieunh0311-sungshin-women-s-university/huggingface/runs/ug0emzlg)
+[<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/jieunh0311-sungshin-women-s-university/huggingface/runs/ix8cbor2)
 
 This model was trained with SFT.
 

adapter_config.json

@@ -10,23 +10,23 @@
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   "layers_to_transform": null,
   "loftq_config": {},
-  "lora_alpha": 64,
-  "lora_dropout": 0.01,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
   "megatron_config": null,
   "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 16,
+  "r": 8,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "gate_proj",
-    "q_proj",
     "o_proj",
-    "k_proj",
     "up_proj",
-    "down_proj"
+    "k_proj",
+    "gate_proj",
+    "v_proj",
+    "down_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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tokenizer.json

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training_args.bin

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