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Model save

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README.md ADDED
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+ ---
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+ base_model: NTQAI/Nxcode-CQ-7B-orpo
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+ datasets:
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+ - generator
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+ library_name: peft
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+ license: other
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: Nxcode_finetuned
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Nxcode_finetuned
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+
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+ This model is a fine-tuned version of [NTQAI/Nxcode-CQ-7B-orpo](https://huggingface.co/NTQAI/Nxcode-CQ-7B-orpo) on the generator dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 3
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 6
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+ - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: constant
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+ - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.2.dev0
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+ - Transformers 4.46.0
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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  "task_type": "CAUSAL_LM",
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  "use_rslora": false
 
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  "target_modules": [
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  "v_proj",
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  "o_proj",
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  "k_proj",
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+ "up_proj"
 
 
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_rslora": false
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