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KanWasTaken
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WhartonDS_RegressionModel

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  1. README.md +59 -59
  2. model.safetensors +1 -1
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 [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0093
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  ## Model description
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@@ -45,66 +45,66 @@ 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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- | 0.0638 | 1.0 | 24 | 0.0642 |
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- | 0.0511 | 2.0 | 48 | 0.0480 |
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- | 0.0409 | 3.0 | 72 | 0.0417 |
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- | 0.0329 | 4.0 | 96 | 0.0360 |
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- | 0.0267 | 5.0 | 120 | 0.0268 |
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- | 0.0214 | 6.0 | 144 | 0.0178 |
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- | 0.0184 | 7.0 | 168 | 0.0156 |
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- | 0.0164 | 8.0 | 192 | 0.0145 |
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- | 0.0154 | 9.0 | 216 | 0.0145 |
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- | 0.0145 | 10.0 | 240 | 0.0138 |
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- | 0.0139 | 11.0 | 264 | 0.0125 |
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- | 0.0134 | 12.0 | 288 | 0.0126 |
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- | 0.0129 | 13.0 | 312 | 0.0120 |
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- | 0.0126 | 14.0 | 336 | 0.0116 |
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- | 0.0124 | 15.0 | 360 | 0.0120 |
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- | 0.0121 | 16.0 | 384 | 0.0116 |
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- | 0.0118 | 17.0 | 408 | 0.0109 |
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- | 0.0115 | 18.0 | 432 | 0.0109 |
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- | 0.0115 | 19.0 | 456 | 0.0108 |
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- | 0.0112 | 20.0 | 480 | 0.0106 |
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- | 0.0112 | 21.0 | 504 | 0.0106 |
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  | 0.0111 | 22.0 | 528 | 0.0103 |
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- | 0.0109 | 23.0 | 552 | 0.0103 |
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- | 0.0108 | 24.0 | 576 | 0.0102 |
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- | 0.0107 | 25.0 | 600 | 0.0100 |
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- | 0.0108 | 26.0 | 624 | 0.0101 |
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- | 0.0106 | 27.0 | 648 | 0.0100 |
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- | 0.0105 | 28.0 | 672 | 0.0101 |
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- | 0.0104 | 29.0 | 696 | 0.0098 |
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- | 0.0103 | 30.0 | 720 | 0.0098 |
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- | 0.0103 | 31.0 | 744 | 0.0097 |
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- | 0.0103 | 32.0 | 768 | 0.0098 |
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- | 0.0101 | 33.0 | 792 | 0.0096 |
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- | 0.0102 | 34.0 | 816 | 0.0096 |
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  | 0.0103 | 35.0 | 840 | 0.0097 |
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- | 0.0102 | 36.0 | 864 | 0.0097 |
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- | 0.0101 | 37.0 | 888 | 0.0095 |
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- | 0.01 | 38.0 | 912 | 0.0095 |
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- | 0.0099 | 39.0 | 936 | 0.0095 |
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- | 0.0101 | 40.0 | 960 | 0.0094 |
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- | 0.01 | 41.0 | 984 | 0.0094 |
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- | 0.0099 | 42.0 | 1008 | 0.0095 |
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- | 0.0101 | 43.0 | 1032 | 0.0094 |
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- | 0.0099 | 44.0 | 1056 | 0.0094 |
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- | 0.01 | 45.0 | 1080 | 0.0094 |
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- | 0.0099 | 46.0 | 1104 | 0.0094 |
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- | 0.0099 | 47.0 | 1128 | 0.0094 |
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- | 0.01 | 48.0 | 1152 | 0.0096 |
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- | 0.0099 | 49.0 | 1176 | 0.0094 |
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- | 0.0099 | 50.0 | 1200 | 0.0094 |
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- | 0.0098 | 51.0 | 1224 | 0.0093 |
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- | 0.0098 | 52.0 | 1248 | 0.0093 |
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- | 0.0099 | 53.0 | 1272 | 0.0093 |
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- | 0.0099 | 54.0 | 1296 | 0.0093 |
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- | 0.01 | 55.0 | 1320 | 0.0093 |
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- | 0.0098 | 56.0 | 1344 | 0.0093 |
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- | 0.01 | 57.0 | 1368 | 0.0095 |
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- | 0.0098 | 58.0 | 1392 | 0.0093 |
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- | 0.0099 | 59.0 | 1416 | 0.0093 |
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- | 0.0099 | 60.0 | 1440 | 0.0093 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0095
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0691 | 1.0 | 24 | 0.0664 |
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+ | 0.0556 | 2.0 | 48 | 0.0614 |
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+ | 0.0443 | 3.0 | 72 | 0.0559 |
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+ | 0.0359 | 4.0 | 96 | 0.0493 |
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+ | 0.0287 | 5.0 | 120 | 0.0287 |
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+ | 0.0233 | 6.0 | 144 | 0.0206 |
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+ | 0.0196 | 7.0 | 168 | 0.0170 |
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+ | 0.0174 | 8.0 | 192 | 0.0155 |
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+ | 0.0158 | 9.0 | 216 | 0.0156 |
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+ | 0.0146 | 10.0 | 240 | 0.0135 |
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+ | 0.0137 | 11.0 | 264 | 0.0123 |
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+ | 0.0133 | 12.0 | 288 | 0.0122 |
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+ | 0.013 | 13.0 | 312 | 0.0120 |
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+ | 0.0125 | 14.0 | 336 | 0.0117 |
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+ | 0.0123 | 15.0 | 360 | 0.0113 |
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+ | 0.0119 | 16.0 | 384 | 0.0112 |
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+ | 0.0119 | 17.0 | 408 | 0.0110 |
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+ | 0.0118 | 18.0 | 432 | 0.0109 |
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+ | 0.0116 | 19.0 | 456 | 0.0108 |
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+ | 0.0113 | 20.0 | 480 | 0.0106 |
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+ | 0.0113 | 21.0 | 504 | 0.0103 |
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  | 0.0111 | 22.0 | 528 | 0.0103 |
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+ | 0.0111 | 23.0 | 552 | 0.0103 |
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+ | 0.011 | 24.0 | 576 | 0.0102 |
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+ | 0.0108 | 25.0 | 600 | 0.0101 |
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+ | 0.0107 | 26.0 | 624 | 0.0100 |
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+ | 0.0107 | 27.0 | 648 | 0.0100 |
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+ | 0.0107 | 28.0 | 672 | 0.0099 |
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+ | 0.0105 | 29.0 | 696 | 0.0097 |
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+ | 0.0104 | 30.0 | 720 | 0.0098 |
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+ | 0.0104 | 31.0 | 744 | 0.0097 |
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+ | 0.0104 | 32.0 | 768 | 0.0096 |
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+ | 0.0103 | 33.0 | 792 | 0.0097 |
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+ | 0.0103 | 34.0 | 816 | 0.0098 |
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  | 0.0103 | 35.0 | 840 | 0.0097 |
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+ | 0.0102 | 36.0 | 864 | 0.0098 |
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+ | 0.0103 | 37.0 | 888 | 0.0096 |
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+ | 0.0103 | 38.0 | 912 | 0.0095 |
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+ | 0.0102 | 39.0 | 936 | 0.0095 |
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+ | 0.0101 | 40.0 | 960 | 0.0096 |
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+ | 0.0101 | 41.0 | 984 | 0.0096 |
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+ | 0.0101 | 42.0 | 1008 | 0.0094 |
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+ | 0.0102 | 43.0 | 1032 | 0.0096 |
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+ | 0.0101 | 44.0 | 1056 | 0.0094 |
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+ | 0.0101 | 45.0 | 1080 | 0.0095 |
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+ | 0.01 | 46.0 | 1104 | 0.0095 |
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+ | 0.01 | 47.0 | 1128 | 0.0094 |
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+ | 0.01 | 48.0 | 1152 | 0.0094 |
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+ | 0.01 | 49.0 | 1176 | 0.0094 |
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+ | 0.0101 | 50.0 | 1200 | 0.0094 |
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+ | 0.0099 | 51.0 | 1224 | 0.0094 |
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+ | 0.01 | 52.0 | 1248 | 0.0094 |
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+ | 0.0101 | 53.0 | 1272 | 0.0094 |
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+ | 0.01 | 54.0 | 1296 | 0.0093 |
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+ | 0.01 | 55.0 | 1320 | 0.0094 |
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+ | 0.01 | 56.0 | 1344 | 0.0093 |
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+ | 0.0101 | 57.0 | 1368 | 0.0095 |
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+ | 0.0099 | 58.0 | 1392 | 0.0095 |
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+ | 0.0099 | 59.0 | 1416 | 0.0095 |
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+ | 0.01 | 60.0 | 1440 | 0.0095 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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