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End of training

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  1. README.md +10 -9
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  ---
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- license: gemma
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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: google/gemma-2b
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  model-index:
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- - name: Gemma-Complete-8-15
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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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- # Gemma-Complete-8-15
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  This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.1089
 
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  ## Model description
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@@ -52,8 +53,8 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - PEFT 0.12.0
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- - Transformers 4.39.3
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- - Pytorch 2.1.2
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  - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
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  ---
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+ base_model: google/gemma-2b
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  library_name: peft
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+ license: gemma
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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: Gemma-complete-8-15
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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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+ # Gemma-complete-8-15
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  This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.9018
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+ - Model Preparation Time: 0.004
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  ## Model description
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  ### Framework versions
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+ - PEFT 0.11.1
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+ - Transformers 4.43.3
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+ - Pytorch 2.3.0+cu121
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  - Datasets 2.18.0
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+ - Tokenizers 0.19.1