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End of training

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  1. README.md +59 -0
  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: llama2
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+ library_name: peft
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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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+ base_model: TheBloke/LLaMA-Pro-8B-Instruct-GPTQ
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+ model-index:
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+ - name: LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant
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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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+ # LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant
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+
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+ This model is a fine-tuned version of [TheBloke/LLaMA-Pro-8B-Instruct-GPTQ](https://huggingface.co/TheBloke/LLaMA-Pro-8B-Instruct-GPTQ) on the None 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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 3
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+ - total_train_batch_size: 24
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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: 0.3
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+ - training_steps: 1200
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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 0.7.1
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0a0+32f93b1
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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