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Safetensors
importance_model
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  1. README.md +23 -55
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ 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: 0.0599
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- - Mse: 0.1695
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- - Mae: 0.3672
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  ## Model description
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@@ -35,7 +35,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -43,62 +43,30 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | No log | 1.0 | 2 | 0.1236 | 0.2098 | 0.4114 |
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- | No log | 2.0 | 4 | 0.1196 | 0.2083 | 0.4100 |
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- | No log | 3.0 | 6 | 0.1133 | 0.2058 | 0.4075 |
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- | No log | 4.0 | 8 | 0.1060 | 0.2028 | 0.4042 |
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- | No log | 5.0 | 10 | 0.1033 | 0.2020 | 0.4024 |
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- | No log | 6.0 | 12 | 0.0938 | 0.1972 | 0.3968 |
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- | No log | 7.0 | 14 | 0.1082 | 0.2021 | 0.4018 |
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- | No log | 8.0 | 16 | 0.0798 | 0.1897 | 0.3890 |
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- | No log | 9.0 | 18 | 0.1011 | 0.1983 | 0.3964 |
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- | No log | 10.0 | 20 | 0.0874 | 0.1913 | 0.3888 |
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- | No log | 11.0 | 22 | 0.0687 | 0.1811 | 0.3799 |
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- | No log | 12.0 | 24 | 0.0812 | 0.1892 | 0.3876 |
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- | No log | 13.0 | 26 | 0.0704 | 0.1831 | 0.3812 |
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- | No log | 14.0 | 28 | 0.0579 | 0.1744 | 0.3713 |
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- | No log | 15.0 | 30 | 0.0678 | 0.1791 | 0.3762 |
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- | No log | 16.0 | 32 | 0.0881 | 0.1883 | 0.3863 |
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- | No log | 17.0 | 34 | 0.0960 | 0.1896 | 0.3880 |
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- | No log | 18.0 | 36 | 0.0696 | 0.1776 | 0.3753 |
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- | No log | 19.0 | 38 | 0.0576 | 0.1716 | 0.3692 |
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- | No log | 20.0 | 40 | 0.0585 | 0.1720 | 0.3697 |
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- | No log | 21.0 | 42 | 0.0710 | 0.1792 | 0.3773 |
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- | No log | 22.0 | 44 | 0.0815 | 0.1843 | 0.3829 |
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- | No log | 23.0 | 46 | 0.0686 | 0.1737 | 0.3710 |
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- | No log | 24.0 | 48 | 0.0674 | 0.1734 | 0.3704 |
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- | 0.118 | 25.0 | 50 | 0.0707 | 0.1776 | 0.3757 |
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- | 0.118 | 26.0 | 52 | 0.0753 | 0.1817 | 0.3804 |
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- | 0.118 | 27.0 | 54 | 0.0708 | 0.1787 | 0.3771 |
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- | 0.118 | 28.0 | 56 | 0.0637 | 0.1721 | 0.3699 |
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- | 0.118 | 29.0 | 58 | 0.0599 | 0.1695 | 0.3672 |
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- | 0.118 | 30.0 | 60 | 0.0627 | 0.1731 | 0.3711 |
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- | 0.118 | 31.0 | 62 | 0.0693 | 0.1786 | 0.3770 |
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- | 0.118 | 32.0 | 64 | 0.0738 | 0.1799 | 0.3781 |
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- | 0.118 | 33.0 | 66 | 0.0730 | 0.1773 | 0.3752 |
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- | 0.118 | 34.0 | 68 | 0.0684 | 0.1735 | 0.3711 |
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- | 0.118 | 35.0 | 70 | 0.0642 | 0.1702 | 0.3673 |
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- | 0.118 | 36.0 | 72 | 0.0641 | 0.1721 | 0.3694 |
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- | 0.118 | 37.0 | 74 | 0.0687 | 0.1758 | 0.3737 |
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- | 0.118 | 38.0 | 76 | 0.0739 | 0.1788 | 0.3772 |
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- | 0.118 | 39.0 | 78 | 0.0706 | 0.1765 | 0.3748 |
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- | 0.118 | 40.0 | 80 | 0.0665 | 0.1726 | 0.3704 |
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- | 0.118 | 41.0 | 82 | 0.0642 | 0.1703 | 0.3677 |
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- | 0.118 | 42.0 | 84 | 0.0659 | 0.1719 | 0.3695 |
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- | 0.118 | 43.0 | 86 | 0.0682 | 0.1743 | 0.3721 |
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- | 0.118 | 44.0 | 88 | 0.0723 | 0.1776 | 0.3759 |
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- | 0.118 | 45.0 | 90 | 0.0730 | 0.1778 | 0.3761 |
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- | 0.118 | 46.0 | 92 | 0.0738 | 0.1775 | 0.3757 |
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- | 0.118 | 47.0 | 94 | 0.0743 | 0.1770 | 0.3751 |
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- | 0.118 | 48.0 | 96 | 0.0743 | 0.1766 | 0.3747 |
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- | 0.118 | 49.0 | 98 | 0.0737 | 0.1764 | 0.3746 |
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- | 0.0449 | 50.0 | 100 | 0.0729 | 0.1760 | 0.3741 |
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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: 0.0834
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+ - Mse: 0.1351
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+ - Mae: 0.3171
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  - total_train_batch_size: 32
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | No log | 1.0 | 10 | 0.1177 | 0.1614 | 0.3476 |
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+ | No log | 2.0 | 20 | 0.0932 | 0.1411 | 0.3288 |
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+ | No log | 3.0 | 30 | 0.0914 | 0.1478 | 0.3351 |
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+ | 0.3379 | 4.0 | 40 | 0.0799 | 0.1369 | 0.3216 |
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+ | 0.3379 | 5.0 | 50 | 0.0773 | 0.1365 | 0.3211 |
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+ | 0.3379 | 6.0 | 60 | 0.0842 | 0.1413 | 0.3251 |
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+ | 0.3379 | 7.0 | 70 | 0.0877 | 0.1329 | 0.3170 |
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+ | 0.2829 | 8.0 | 80 | 0.0830 | 0.1370 | 0.3192 |
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+ | 0.2829 | 9.0 | 90 | 0.0827 | 0.1408 | 0.3254 |
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+ | 0.2829 | 10.0 | 100 | 0.0859 | 0.1291 | 0.3120 |
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+ | 0.2829 | 11.0 | 110 | 0.1009 | 0.1478 | 0.3309 |
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+ | 0.2461 | 12.0 | 120 | 0.0810 | 0.1352 | 0.3174 |
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+ | 0.2461 | 13.0 | 130 | 0.0837 | 0.1368 | 0.3189 |
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+ | 0.2461 | 14.0 | 140 | 0.0887 | 0.1410 | 0.3230 |
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+ | 0.2461 | 15.0 | 150 | 0.0837 | 0.1321 | 0.3139 |
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+ | 0.2104 | 16.0 | 160 | 0.0908 | 0.1404 | 0.3226 |
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+ | 0.2104 | 17.0 | 170 | 0.0857 | 0.1367 | 0.3183 |
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+ | 0.2104 | 18.0 | 180 | 0.0834 | 0.1351 | 0.3171 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 97176156
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:9e3316d82ec81c11fd3fbe8b1ccafeef4086afcb494d99dc26dece64b22deeed
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  size 97176156