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avalosjc/llama2-instruct-tune-500s

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README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6709
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  ## Model description
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@@ -51,31 +51,31 @@ 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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- | 1.9464 | 0.0027 | 20 | 1.8079 |
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- | 1.8933 | 0.0054 | 40 | 1.7789 |
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- | 1.8882 | 0.0081 | 60 | 1.7644 |
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- | 1.7861 | 0.0108 | 80 | 1.7545 |
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- | 1.7948 | 0.0135 | 100 | 1.7400 |
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- | 1.8786 | 0.0163 | 120 | 1.7138 |
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- | 1.8041 | 0.0190 | 140 | 1.7061 |
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- | 1.713 | 0.0217 | 160 | 1.6969 |
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- | 1.8453 | 0.0244 | 180 | 1.6944 |
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- | 1.8526 | 0.0271 | 200 | 1.6914 |
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- | 1.8792 | 0.0298 | 220 | 1.6907 |
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- | 1.6989 | 0.0325 | 240 | 1.6874 |
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- | 1.8333 | 0.0352 | 260 | 1.6868 |
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- | 1.8608 | 0.0379 | 280 | 1.6847 |
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- | 1.9045 | 0.0406 | 300 | 1.6830 |
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- | 1.8614 | 0.0433 | 320 | 1.6822 |
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- | 1.7854 | 0.0461 | 340 | 1.6801 |
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- | 1.8538 | 0.0488 | 360 | 1.6783 |
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- | 1.7165 | 0.0515 | 380 | 1.6766 |
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- | 1.8302 | 0.0542 | 400 | 1.6782 |
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- | 1.7844 | 0.0569 | 420 | 1.6761 |
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- | 1.747 | 0.0596 | 440 | 1.6742 |
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- | 1.7928 | 0.0623 | 460 | 1.6735 |
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- | 1.7661 | 0.0650 | 480 | 1.6732 |
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- | 1.7684 | 0.0677 | 500 | 1.6709 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6752
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.9802 | 0.0027 | 20 | 1.8101 |
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+ | 1.9108 | 0.0054 | 40 | 1.7781 |
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+ | 1.9155 | 0.0081 | 60 | 1.7653 |
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+ | 1.9302 | 0.0108 | 80 | 1.7579 |
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+ | 1.8143 | 0.0135 | 100 | 1.7455 |
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+ | 1.9025 | 0.0163 | 120 | 1.7143 |
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+ | 1.8029 | 0.0190 | 140 | 1.7029 |
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+ | 1.8912 | 0.0217 | 160 | 1.6989 |
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+ | 1.8565 | 0.0244 | 180 | 1.6961 |
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+ | 1.7468 | 0.0271 | 200 | 1.6936 |
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+ | 1.829 | 0.0298 | 220 | 1.6913 |
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+ | 1.8097 | 0.0325 | 240 | 1.6883 |
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+ | 1.7772 | 0.0352 | 260 | 1.6866 |
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+ | 1.8564 | 0.0379 | 280 | 1.6843 |
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+ | 1.7101 | 0.0406 | 300 | 1.6828 |
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+ | 1.8124 | 0.0433 | 320 | 1.6811 |
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+ | 1.8437 | 0.0461 | 340 | 1.6804 |
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+ | 1.8908 | 0.0488 | 360 | 1.6800 |
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+ | 1.817 | 0.0515 | 380 | 1.6807 |
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+ | 1.8006 | 0.0542 | 400 | 1.6791 |
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+ | 1.774 | 0.0569 | 420 | 1.6768 |
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+ | 1.8284 | 0.0596 | 440 | 1.6753 |
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+ | 1.8784 | 0.0623 | 460 | 1.6769 |
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+ | 1.7567 | 0.0650 | 480 | 1.6777 |
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+ | 1.8119 | 0.0677 | 500 | 1.6752 |
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  ### Framework versions
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