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- ---
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- base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
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- library_name: peft
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- license: llama3.1
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- tags:
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- - trl
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- - sft
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- - unsloth
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- - generated_from_trainer
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- model-index:
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- - name: WooWoof_AI_Vision
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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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- # WooWoof_AI_Vision
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-
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- This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-bnb-4bit) on an unknown 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: 0.0003
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- - train_batch_size: 2
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- - eval_batch_size: 8
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- - seed: 3407
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: cosine
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- - lr_scheduler_warmup_steps: 10
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- - num_epochs: 10
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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 0.13.1
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- - Transformers 4.45.2
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- - Pytorch 2.3.1
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- - Datasets 3.0.0
 
 
 
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  - Tokenizers 0.20.0
 
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+ ---
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+ base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
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+ library_name: peft
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+ license: llama3.1
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+ tags:
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+ - trl
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+ - sft
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+ - unsloth
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+ - generated_from_trainer
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+ - endpoints
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+ - transformers
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+ - text-generation-interface
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+ model-index:
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+ - name: WooWoof_AI_Vision
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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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+ # WooWoof_AI_Vision
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+
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+ This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-bnb-4bit) on an unknown 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: 0.0003
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 3407
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 10
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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 0.13.1
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+ - Transformers 4.45.2
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+ - Pytorch 2.3.1
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+ - Datasets 3.0.0
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  - Tokenizers 0.20.0