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						base_model: Qwen/Qwen2-VL-7B-Instruct | 
					
					
						
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						library_name: peft | 
					
					
						
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						license: apache-2.0 | 
					
					
						
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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: qwen2-7b-instruct-amazon-description | 
					
					
						
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						  results: [] | 
					
					
						
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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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						# qwen2-7b-instruct-amazon-description | 
					
					
						
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						This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) on an unknown dataset. | 
					
					
						
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						## Model description | 
					
					
						
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						More information needed | 
					
					
						
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						## Intended uses & limitations | 
					
					
						
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						More information needed | 
					
					
						
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						## Training and evaluation data | 
					
					
						
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						More information needed | 
					
					
						
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						## Training procedure | 
					
					
						
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						### Training hyperparameters | 
					
					
						
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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: 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 | 
					
					
						
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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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						### Training results | 
					
					
						
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						### Framework versions | 
					
					
						
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						- PEFT 0.13.0 | 
					
					
						
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						- Transformers 4.45.1 | 
					
					
						
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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 |