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  1. README.md +5 -6
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@@ -4,7 +4,6 @@ license: llama3.1
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  base_model: meta-llama/Llama-3.1-8B
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  tags:
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  - llama-factory
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- - full
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  - generated_from_trainer
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  model-index:
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  - name: llama3_mammoth_dcft_ablation_original_50k
@@ -16,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # llama3_mammoth_dcft_ablation_original_50k
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- This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the mlfoundations-dev/wia_dcft_webinstruct_original_uniform_50k dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0595
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  ## Model description
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@@ -56,9 +55,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 0.896 | 7 | 0.0650 |
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- | 1.0791 | 1.96 | 15 | 0.0612 |
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- | 0.9257 | 2.768 | 21 | 0.0595 |
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  ### Framework versions
 
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  base_model: meta-llama/Llama-3.1-8B
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  tags:
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  - llama-factory
 
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  - generated_from_trainer
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  model-index:
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  - name: llama3_mammoth_dcft_ablation_original_50k
 
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  # llama3_mammoth_dcft_ablation_original_50k
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+ This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0594
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.896 | 7 | 0.0652 |
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+ | 1.0796 | 1.96 | 15 | 0.0610 |
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+ | 0.9233 | 2.768 | 21 | 0.0594 |
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  ### Framework versions