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Upload LoRA adapter (Fixed README metadata)

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README.md CHANGED
@@ -1,9 +1,11 @@
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  ---
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  base_model: Qwen/Qwen3-4B-Instruct-2507
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  datasets:
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- - daichira/structured-hard-sft-4k
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  - u-10bei/structured_data_with_cot_dataset_512
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  - u-10bei/structured_data_with_cot_dataset_512_v2
 
 
 
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  language:
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  - en
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  license: apache-2.0
@@ -15,7 +17,7 @@ tags:
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  - structured-output
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  ---
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- # Qwen3-4B RSLoRA (R=256) for Structured Output
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  This repository provides a **LoRA adapter** fine-tuned from
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  **Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
@@ -36,9 +38,9 @@ while intermediate reasoning (Chain-of-Thought) is masked.
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  - Base model: Qwen/Qwen3-4B-Instruct-2507
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  - Method: QLoRA (4-bit)
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  - Max sequence length: 512
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- - Epochs: 1
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- - Learning rate: 2e-04
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- - LoRA: r=128, alpha=24
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  ## Usage
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@@ -61,7 +63,7 @@ model = PeftModel.from_pretrained(model, adapter)
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  ## Sources & Terms (IMPORTANT)
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- Training data: ['daichira/structured-hard-sft-4k', 'u-10bei/structured_data_with_cot_dataset_512', 'u-10bei/structured_data_with_cot_dataset_512_v2']
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  Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License.
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  Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.
 
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  ---
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  base_model: Qwen/Qwen3-4B-Instruct-2507
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  datasets:
 
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  - u-10bei/structured_data_with_cot_dataset_512
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  - u-10bei/structured_data_with_cot_dataset_512_v2
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+ - u-10bei/structured_data_with_cot_dataset_512_v4
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+ - u-10bei/structured_data_with_cot_dataset_512_v5
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+ - u-10bei/structured_data_with_cot_dataset_v2
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  language:
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  - en
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  license: apache-2.0
 
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  - structured-output
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  ---
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+ # Qwen3-4B_R_64_ALPHA_128 for Structured Output
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  This repository provides a **LoRA adapter** fine-tuned from
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  **Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
 
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  - Base model: Qwen/Qwen3-4B-Instruct-2507
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  - Method: QLoRA (4-bit)
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  - Max sequence length: 512
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+ - Epochs: 5
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+ - Learning rate: 1e-06
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+ - LoRA: r=64, alpha=128
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  ## Usage
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  ## Sources & Terms (IMPORTANT)
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+ Training data: ['u-10bei/structured_data_with_cot_dataset_512', 'u-10bei/structured_data_with_cot_dataset_512_v2u-10bei/structured_data_with_cot_dataset_512_v4', 'u-10bei/structured_data_with_cot_dataset_512_v5', 'u-10bei/structured_data_with_cot_dataset_v2']
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  Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License.
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  Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.
adapter_config.json CHANGED
@@ -20,7 +20,7 @@
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  "layers_pattern": null,
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  "layers_to_transform": null,
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  "loftq_config": {},
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- "lora_alpha": 24,
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  "lora_bias": false,
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  "lora_dropout": 0.0,
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  "megatron_config": null,
@@ -29,22 +29,22 @@
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  "peft_type": "LORA",
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  "peft_version": "0.18.1",
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  "qalora_group_size": 16,
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- "r": 128,
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
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  "down_proj",
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- "k_proj",
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  "up_proj",
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- "q_proj",
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- "o_proj",
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  "v_proj",
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- "gate_proj"
 
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  ],
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  "target_parameters": null,
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  "task_type": "CAUSAL_LM",
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  "trainable_token_indices": null,
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  "use_dora": false,
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  "use_qalora": false,
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- "use_rslora": true
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  }
 
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  "layers_pattern": null,
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  "layers_to_transform": null,
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  "loftq_config": {},
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+ "lora_alpha": 128,
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  "lora_bias": false,
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  "lora_dropout": 0.0,
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  "megatron_config": null,
 
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  "peft_type": "LORA",
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  "peft_version": "0.18.1",
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  "qalora_group_size": 16,
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+ "r": 64,
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "o_proj",
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  "down_proj",
 
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  "up_proj",
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+ "gate_proj",
 
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  "v_proj",
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+ "k_proj",
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+ "q_proj"
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  ],
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  "target_parameters": null,
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  "task_type": "CAUSAL_LM",
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  "trainable_token_indices": null,
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  "use_dora": false,
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  "use_qalora": false,
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+ "use_rslora": false
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  }
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@@ -1,3 +1,3 @@
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all_experiments_details.json CHANGED
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