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  1. README.md +10 -10
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6552
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  ## Model description
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@@ -51,15 +51,15 @@ 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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- | 1.548 | 0.21 | 300 | 1.7227 |
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- | 1.3576 | 0.41 | 600 | 1.7006 |
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- | 1.3032 | 0.62 | 900 | 1.6854 |
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- | 1.4151 | 0.82 | 1200 | 1.6771 |
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- | 1.8081 | 1.03 | 1500 | 1.6698 |
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- | 1.6592 | 1.23 | 1800 | 1.6649 |
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- | 1.6466 | 1.44 | 2100 | 1.6600 |
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- | 1.7293 | 1.65 | 2400 | 1.6574 |
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- | 1.6455 | 1.85 | 2700 | 1.6552 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6961
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.6231 | 0.21 | 300 | 1.7653 |
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+ | 1.4252 | 0.41 | 600 | 1.7429 |
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+ | 1.3652 | 0.62 | 900 | 1.7273 |
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+ | 1.4877 | 0.82 | 1200 | 1.7188 |
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+ | 1.8531 | 1.03 | 1500 | 1.7113 |
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+ | 1.6964 | 1.23 | 1800 | 1.7061 |
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+ | 1.6873 | 1.44 | 2100 | 1.7011 |
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+ | 1.7671 | 1.65 | 2400 | 1.6985 |
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+ | 1.7008 | 1.85 | 2700 | 1.6961 |
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  ### Framework versions