Model save

README.md

@@ -27,17 +27,17 @@ 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/realdragonma-pelliculum/huggingface/runs/wcdoae50) 
+[<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/realdragonma-pelliculum/huggingface/runs/b6toipkz) 
 
 
 This model was trained with SFT.
 
 ### Framework versions
 
-- TRL: 0.15.0
+- TRL: 0.15.1
 - Transformers: 4.49.0
 - Pytorch: 2.6.0+cu124
-- Datasets: 3.3.1
+- Datasets: 3.3.2
 - Tokenizers: 0.21.0
 
 ## Citations

final_checkpoint/adapter_config.json

@@ -23,10 +23,10 @@
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-    "o_proj",
-    "v_proj"
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+    "v_proj",
+    "o_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

final_checkpoint/adapter_model.safetensors

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final_checkpoint/training_args.bin

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