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Model save

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  1. README.md +4 -4
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@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7088
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  ## Model description
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@@ -55,9 +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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- | 0.782 | 0.4040 | 20 | 0.7524 |
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- | 0.739 | 0.8081 | 40 | 0.7112 |
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- | 0.6063 | 1.2121 | 60 | 0.7088 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4488
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.4909 | 0.0275 | 20 | 1.5325 |
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+ | 1.511 | 0.0550 | 40 | 1.4779 |
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+ | 1.3699 | 0.0824 | 60 | 1.4488 |
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  ### Framework versions