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Litzy619
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PHI30515HMA1H

Safetensors
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Litzy619 commited on
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acc9831
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End of training

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Files changed (4) hide show
  1. README.md +34 -34
  2. adapter_model.bin +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0759
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  ## Model description
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@@ -50,39 +50,39 @@ 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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- | 7.2811 | 0.09 | 10 | 2.3558 |
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- | 1.5273 | 0.18 | 20 | 0.2947 |
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- | 0.3667 | 0.27 | 30 | 0.3365 |
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- | 1.5013 | 0.36 | 40 | 0.2249 |
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- | 0.2882 | 0.45 | 50 | 0.1783 |
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- | 0.3577 | 0.54 | 60 | 0.1499 |
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- | 0.2395 | 0.63 | 70 | 0.1642 |
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- | 0.1912 | 0.73 | 80 | 0.1321 |
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- | 0.132 | 0.82 | 90 | 0.1249 |
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- | 0.1411 | 0.91 | 100 | 0.0899 |
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- | 0.1139 | 1.0 | 110 | 0.1044 |
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- | 0.0781 | 1.09 | 120 | 0.0766 |
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- | 0.0962 | 1.18 | 130 | 0.0736 |
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- | 0.1109 | 1.27 | 140 | 0.0722 |
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- | 0.1124 | 1.36 | 150 | 0.0697 |
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- | 0.0764 | 1.45 | 160 | 0.0694 |
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- | 0.0821 | 1.54 | 170 | 0.0685 |
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- | 0.0711 | 1.63 | 180 | 0.0637 |
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- | 0.0799 | 1.72 | 190 | 0.0680 |
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- | 0.0826 | 1.81 | 200 | 0.0636 |
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- | 0.0592 | 1.9 | 210 | 0.0650 |
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- | 0.0584 | 1.99 | 220 | 0.0677 |
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- | 0.0388 | 2.08 | 230 | 0.0705 |
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- | 0.0501 | 2.18 | 240 | 0.0793 |
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- | 0.0323 | 2.27 | 250 | 0.0846 |
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- | 0.034 | 2.36 | 260 | 0.0803 |
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- | 0.0413 | 2.45 | 270 | 0.0758 |
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- | 0.0321 | 2.54 | 280 | 0.0769 |
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- | 0.0315 | 2.63 | 290 | 0.0788 |
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- | 0.0343 | 2.72 | 300 | 0.0777 |
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- | 0.0404 | 2.81 | 310 | 0.0763 |
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- | 0.0452 | 2.9 | 320 | 0.0758 |
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- | 0.0369 | 2.99 | 330 | 0.0759 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0747
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 7.2832 | 0.09 | 10 | 2.7337 |
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+ | 1.7648 | 0.18 | 20 | 0.3745 |
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+ | 0.3839 | 0.27 | 30 | 0.2589 |
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+ | 0.3285 | 0.36 | 40 | 0.2520 |
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+ | 0.3202 | 0.45 | 50 | 0.2229 |
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+ | 0.6502 | 0.54 | 60 | 0.2693 |
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+ | 0.3048 | 0.63 | 70 | 0.1647 |
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+ | 0.2068 | 0.73 | 80 | 0.1318 |
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+ | 0.1411 | 0.82 | 90 | 0.1621 |
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+ | 0.1775 | 0.91 | 100 | 0.0975 |
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+ | 0.1835 | 1.0 | 110 | 0.0954 |
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+ | 0.1014 | 1.09 | 120 | 0.0876 |
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+ | 0.1148 | 1.18 | 130 | 0.0976 |
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+ | 0.1506 | 1.27 | 140 | 0.0760 |
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+ | 0.128 | 1.36 | 150 | 0.0750 |
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+ | 0.0883 | 1.45 | 160 | 0.0736 |
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+ | 0.0913 | 1.54 | 170 | 0.0692 |
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+ | 0.0795 | 1.63 | 180 | 0.0681 |
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+ | 0.0927 | 1.72 | 190 | 0.0669 |
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+ | 0.087 | 1.81 | 200 | 0.0667 |
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+ | 0.0606 | 1.9 | 210 | 0.0682 |
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+ | 0.0627 | 1.99 | 220 | 0.0679 |
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+ | 0.0441 | 2.08 | 230 | 0.0705 |
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+ | 0.0543 | 2.18 | 240 | 0.0813 |
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+ | 0.0413 | 2.27 | 250 | 0.0839 |
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+ | 0.0414 | 2.36 | 260 | 0.0775 |
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+ | 0.0462 | 2.45 | 270 | 0.0756 |
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+ | 0.0411 | 2.54 | 280 | 0.0763 |
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+ | 0.0392 | 2.63 | 290 | 0.0768 |
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+ | 0.0407 | 2.72 | 300 | 0.0771 |
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+ | 0.0508 | 2.81 | 310 | 0.0755 |
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+ | 0.0577 | 2.9 | 320 | 0.0746 |
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+ | 0.0431 | 2.99 | 330 | 0.0747 |
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  ### Framework versions
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