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README.md
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- lora
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- generated_from_trainer
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model-index:
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- name: llama3.
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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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# llama3.
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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 the pretrain_bible dataset.
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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_ratio: 0.1
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.
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- Transformers 4.
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- Pytorch 2.3.1+cu121
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- Datasets
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- Tokenizers 0.
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- lora
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- generated_from_trainer
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model-index:
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- name: llama3.1_8B_pretrain_bible
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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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# llama3.1_8B_pretrain_bible
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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 the pretrain_bible dataset.
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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_ratio: 0.1
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.45.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.20.1
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