Upload LoRA adapter (README written by author)

README.md

@@ -2,7 +2,6 @@
 base_model: Qwen/Qwen3-4B-Instruct-2507
 datasets:
 - u-10bei/structured_data_with_cot_dataset_512_v5
-- daichira/structured-hard-sft-4k
 language:
 - en
 license: apache-2.0
@@ -14,7 +13,7 @@ tags:
 - structured-output
 ---
 
-sft-lora
+qwen3-4b-structured-output-lora
 
 This repository provides a **LoRA adapter** fine-tuned from
 **Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
@@ -35,8 +34,8 @@ while intermediate reasoning (Chain-of-Thought) is masked.
 - Base model: Qwen/Qwen3-4B-Instruct-2507
 - Method: QLoRA (4-bit)
 - Max sequence length: 512
-- Epochs: 1
-- Learning rate: 1e-06
+- Epochs: 2
+- Learning rate: 2e-05
 - LoRA: r=64, alpha=128
 
 ## Usage
@@ -47,7 +46,7 @@ from peft import PeftModel
 import torch
 
 base = "Qwen/Qwen3-4B-Instruct-2507"
-adapter = "your_id/your-repo"
+adapter = "nikeda/sft-lora"
 
 tokenizer = AutoTokenizer.from_pretrained(base)
 model = AutoModelForCausalLM.from_pretrained(
@@ -60,11 +59,7 @@ model = PeftModel.from_pretrained(model, adapter)
 
 ## Sources & Terms (IMPORTANT)
 
-Training data:
-- u-10bei/structured_data_with_cot_dataset_512_v5
-- daichira/structured-hard-sft-4k
-
-Dataset License: MIT License. These datasets are used and distributed under the terms of the MIT License.
+Training data: u-10bei/structured_data_with_cot_dataset_512_v5
 
 Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License.
 Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.

adapter_config.json

@@ -33,13 +33,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "up_proj",
+    "o_proj",
     "gate_proj",
-    "q_proj",
     "k_proj",
     "down_proj",
-    "o_proj"
+    "v_proj",
+    "q_proj",
+    "up_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:0795e818582fa11730ec1bee84e04a0b5c02b241d65ed2455f6ac858091987a9
 size 528550256