| ---
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| library_name: peft
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| license: apache-2.0
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| base_model: Qwen/Qwen2.5-0.5B-Instruct
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| tags:
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| - generated_from_trainer
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| datasets:
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| - SkunkworksAI/reasoning-0.01
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| metrics:
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| - accuracy
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| language:
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| - zho
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| - eng
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| - fra
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| - spa
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| - por
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| - deu
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| - ita
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| - rus
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| - jpn
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| - kor
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| - vie
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| - tha
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| - ara
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| pipeline_tag: text-generation
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| model-index:
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| - name: qwen-finetuned
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| results: []
|
| ---
|
|
|
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| should probably proofread and complete it, then remove this comment. -->
|
|
|
| # qwen-finetuned
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|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on an unknown dataset.
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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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|
|
| ### Training hyperparameters
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|
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| The following hyperparameters were used during training:
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| - learning_rate: 2e-05
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| - train_batch_size: 2
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| - eval_batch_size: 8
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| - seed: 42
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| - gradient_accumulation_steps: 4
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| - total_train_batch_size: 8
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| - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| - lr_scheduler_type: linear
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| - num_epochs: 1
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| - mixed_precision_training: Native AMP
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|
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| ### Training results
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|
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| ### Framework versions
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|
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| - PEFT 0.15.2
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| - Transformers 4.51.3
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| - Pytorch 2.6.0+cu124
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| - Datasets 3.5.0
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| - Tokenizers 0.21.1 |
