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End of training

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README.md CHANGED
@@ -14,7 +14,7 @@ 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: 2.6123
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  ## Model description
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@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - training_steps: 800
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  ### Training results
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@@ -82,6 +82,14 @@ The following hyperparameters were used during training:
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  | 2.6303 | 0.24 | 750 | 2.8400 |
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  | 2.6914 | 0.25 | 775 | 2.8327 |
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  | 2.7409 | 0.26 | 800 | 2.8241 |
 
 
 
 
 
 
 
 
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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: 2.5560
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  ## Model description
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  - total_eval_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - training_steps: 1000
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  ### Training results
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  | 2.6303 | 0.24 | 750 | 2.8400 |
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  | 2.6914 | 0.25 | 775 | 2.8327 |
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  | 2.7409 | 0.26 | 800 | 2.8241 |
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+ | 2.7072 | 0.26 | 825 | 2.8182 |
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+ | 2.6851 | 0.27 | 850 | 2.8120 |
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+ | 2.6687 | 0.28 | 875 | 2.8054 |
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+ | 2.6158 | 0.29 | 900 | 2.7999 |
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+ | 2.8079 | 0.3 | 925 | 2.7939 |
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+ | 2.7443 | 0.3 | 950 | 2.7891 |
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+ | 2.6934 | 0.31 | 975 | 2.7850 |
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+ | 2.5733 | 0.32 | 1000 | 2.7790 |
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  ### Framework versions
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