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@@ -4,6 +4,8 @@ base_model: meta-llama/Meta-Llama-3-8B
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  tags:
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  - axolotl
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  - generated_from_trainer
 
 
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  model-index:
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  - name: Llama-3-8B-Self-Instruct-100K
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  results: []
@@ -27,7 +29,7 @@ load_in_4bit: false
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  strict: false
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  datasets:
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- - path: Magpie-Align/Llama3-8B-Instruct-Self-Instruct
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  type: sharegpt
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  conversation: llama3
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  dataset_prepared_path: last_run_prepared
@@ -86,22 +88,10 @@ special_tokens:
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  # Llama-3-8B-Self-Instruct-100K
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- This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6245
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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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  tags:
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  - axolotl
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  - generated_from_trainer
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+ datasets:
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+ - Magpie-Align/Llama-3-8B-Self-Instruct-100K
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  model-index:
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  - name: Llama-3-8B-Self-Instruct-100K
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  results: []
 
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  strict: false
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  datasets:
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+ - path: Magpie-Align/Llama-3-8B-Self-Instruct-100K
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  type: sharegpt
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  conversation: llama3
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  dataset_prepared_path: last_run_prepared
 
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  # Llama-3-8B-Self-Instruct-100K
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the Magpie-Align/Llama-3-8B-Self-Instruct-100K dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6245
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  ## Training procedure
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  ### Training hyperparameters