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End of training

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README.md CHANGED
@@ -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/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7284
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  ## Model description
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@@ -64,31 +64,31 @@ 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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- | 3.7573 | 1.36 | 10 | 3.3722 |
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- | 2.8144 | 2.71 | 20 | 2.0325 |
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- | 1.5867 | 4.07 | 30 | 1.2586 |
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- | 1.1875 | 5.42 | 40 | 1.0898 |
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- | 1.0487 | 6.78 | 50 | 1.0168 |
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- | 0.9716 | 8.14 | 60 | 0.9688 |
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- | 0.9134 | 9.49 | 70 | 0.9304 |
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- | 0.8505 | 10.85 | 80 | 0.8940 |
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- | 0.7963 | 12.2 | 90 | 0.8640 |
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- | 0.7497 | 13.56 | 100 | 0.8379 |
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- | 0.7067 | 14.92 | 110 | 0.8080 |
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- | 0.6484 | 16.27 | 120 | 0.7751 |
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- | 0.5945 | 17.63 | 130 | 0.7385 |
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- | 0.5349 | 18.98 | 140 | 0.6990 |
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- | 0.4854 | 20.34 | 150 | 0.6956 |
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- | 0.4729 | 21.69 | 160 | 0.6990 |
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- | 0.4496 | 23.05 | 170 | 0.6885 |
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- | 0.4405 | 24.41 | 180 | 0.7089 |
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- | 0.435 | 25.76 | 190 | 0.7215 |
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- | 0.4243 | 27.12 | 200 | 0.7162 |
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- | 0.418 | 28.47 | 210 | 0.7205 |
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- | 0.4156 | 29.83 | 220 | 0.7296 |
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- | 0.4153 | 31.19 | 230 | 0.7275 |
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- | 0.4146 | 32.54 | 240 | 0.7292 |
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- | 0.4094 | 33.9 | 250 | 0.7284 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7698
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.7636 | 1.36 | 10 | 3.3566 |
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+ | 2.8254 | 2.71 | 20 | 2.0280 |
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+ | 1.5642 | 4.07 | 30 | 1.2681 |
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+ | 1.1877 | 5.42 | 40 | 1.1017 |
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+ | 1.0503 | 6.78 | 50 | 1.0240 |
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+ | 0.9732 | 8.14 | 60 | 0.9786 |
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+ | 0.9065 | 9.49 | 70 | 0.9394 |
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+ | 0.8513 | 10.85 | 80 | 0.9004 |
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+ | 0.7914 | 12.2 | 90 | 0.8791 |
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+ | 0.7408 | 13.56 | 100 | 0.8509 |
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+ | 0.6882 | 14.92 | 110 | 0.8191 |
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+ | 0.6389 | 16.27 | 120 | 0.7877 |
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+ | 0.5855 | 17.63 | 130 | 0.7748 |
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+ | 0.5293 | 18.98 | 140 | 0.7502 |
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+ | 0.4876 | 20.34 | 150 | 0.7337 |
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+ | 0.4619 | 21.69 | 160 | 0.7275 |
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+ | 0.4458 | 23.05 | 170 | 0.7315 |
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+ | 0.4287 | 24.41 | 180 | 0.7475 |
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+ | 0.434 | 25.76 | 190 | 0.7489 |
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+ | 0.4186 | 27.12 | 200 | 0.7573 |
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+ | 0.4158 | 28.47 | 210 | 0.7618 |
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+ | 0.4105 | 29.83 | 220 | 0.7719 |
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+ | 0.4039 | 31.19 | 230 | 0.7677 |
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+ | 0.4087 | 32.54 | 240 | 0.7692 |
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+ | 0.4078 | 33.9 | 250 | 0.7698 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -8,7 +8,7 @@
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  "r": 32,
 
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