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Coaster41
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patchtst-tsmixup

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patchtst
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  1. README.md +35 -23
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,11 +14,11 @@ 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: 0.1667
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- - Mse: 0.9109
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- - Mae: 0.3200
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- - Rmse: 0.9544
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- - Smape: 66.8504
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  ## Model description
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@@ -46,27 +46,39 @@ The following hyperparameters were used during training:
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  - optimizer: Use 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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  - lr_scheduler_warmup_steps: 1000
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- - num_epochs: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Mse | Mae | Rmse | Smape |
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- |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
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- | 0.4699 | 0.3170 | 100 | 0.3986 | 1.9127 | 0.5988 | 1.3830 | 85.7261 |
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- | 0.3548 | 0.6339 | 200 | 0.2949 | 1.4500 | 0.4838 | 1.2042 | 106.9687 |
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- | 0.2584 | 0.9509 | 300 | 0.2033 | 1.0556 | 0.3760 | 1.0274 | 110.8115 |
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- | 0.2056 | 1.2662 | 400 | 0.1819 | 0.9678 | 0.3455 | 0.9838 | 98.2755 |
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- | 0.1933 | 1.5832 | 500 | 0.1795 | 0.9547 | 0.3400 | 0.9771 | 82.1879 |
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- | 0.1904 | 1.9002 | 600 | 0.1797 | 0.9553 | 0.3421 | 0.9774 | 80.7883 |
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- | 0.1865 | 2.2155 | 700 | 0.1757 | 0.9618 | 0.3338 | 0.9807 | 94.2195 |
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- | 0.1872 | 2.5325 | 800 | 0.1749 | 0.9400 | 0.3335 | 0.9695 | 202.7448 |
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- | 0.1861 | 2.8494 | 900 | 0.1737 | 0.9284 | 0.3323 | 0.9635 | 134.4096 |
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- | 0.1838 | 3.1648 | 1000 | 0.1740 | 0.9250 | 0.3337 | 0.9618 | 87.0757 |
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- | 0.1846 | 3.4818 | 1100 | 0.1714 | 0.9415 | 0.3278 | 0.9703 | 76.6578 |
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- | 0.1806 | 3.7987 | 1200 | 0.1703 | 0.9292 | 0.3265 | 0.9640 | 69.0125 |
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- | 0.1806 | 4.1141 | 1300 | 0.1674 | 0.9126 | 0.3213 | 0.9553 | 67.0837 |
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- | 0.1776 | 4.4311 | 1400 | 0.1691 | 0.9056 | 0.3268 | 0.9516 | 55.4593 |
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- | 0.177 | 4.7480 | 1500 | 0.1667 | 0.9109 | 0.3200 | 0.9544 | 66.8504 |
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.1553
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+ - Mse: 280.0361
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+ - Mae: 0.6489
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+ - Rmse: 16.7343
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+ - Smape: 100.3318
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  ## Model description
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  - optimizer: Use 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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  - lr_scheduler_warmup_steps: 1000
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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 | Rmse | Smape |
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+ |:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:-------:|:--------:|
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+ | 0.1797 | 0.0952 | 1000 | 0.1756 | 447.3596 | 0.7397 | 21.1509 | 90.8971 |
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+ | 0.1709 | 0.1904 | 2000 | 0.1691 | 425.0924 | 0.7153 | 20.6178 | 112.3049 |
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+ | 0.1722 | 0.2857 | 3000 | 0.1662 | 516.2153 | 0.7009 | 22.7204 | 89.5236 |
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+ | 0.1694 | 0.3809 | 4000 | 0.1643 | 321.2047 | 0.6708 | 17.9222 | 93.0515 |
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+ | 0.1648 | 0.4761 | 5000 | 0.1626 | 350.6870 | 0.6731 | 18.7266 | 94.0748 |
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+ | 0.1672 | 0.5713 | 6000 | 0.1612 | 370.8825 | 0.6797 | 19.2583 | 84.6619 |
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+ | 0.1623 | 0.6666 | 7000 | 0.1605 | 400.0790 | 0.6715 | 20.0020 | 89.7598 |
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+ | 0.1638 | 0.7618 | 8000 | 0.1613 | 387.6971 | 0.6771 | 19.6900 | 122.3799 |
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+ | 0.1609 | 0.8570 | 9000 | 0.1602 | 335.3427 | 0.6603 | 18.3124 | 109.3877 |
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+ | 0.1618 | 0.9522 | 10000 | 0.1592 | 318.1492 | 0.6688 | 17.8367 | 76.3322 |
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+ | 0.1588 | 1.0474 | 11000 | 0.1586 | 345.3675 | 0.6628 | 18.5841 | 94.5032 |
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+ | 0.1601 | 1.1426 | 12000 | 0.1580 | 326.8865 | 0.6540 | 18.0800 | 81.2504 |
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+ | 0.1585 | 1.2379 | 13000 | 0.1575 | 279.7964 | 0.6532 | 16.7271 | 107.6181 |
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+ | 0.1567 | 1.3331 | 14000 | 0.1575 | 328.3490 | 0.6622 | 18.1204 | 91.9899 |
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+ | 0.1592 | 1.4283 | 15000 | 0.1567 | 376.8973 | 0.6523 | 19.4138 | 89.7952 |
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+ | 0.16 | 1.5235 | 16000 | 0.1576 | 327.5271 | 0.6580 | 18.0977 | 105.7316 |
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+ | 0.1586 | 1.6188 | 17000 | 0.1568 | 399.5775 | 0.6602 | 19.9894 | 88.6057 |
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+ | 0.1593 | 1.7140 | 18000 | 0.1565 | 359.5630 | 0.6604 | 18.9621 | 325.5064 |
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+ | 0.1562 | 1.8092 | 19000 | 0.1566 | 281.2739 | 0.6545 | 16.7712 | 80.4528 |
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+ | 0.1601 | 1.9044 | 20000 | 0.1570 | 287.3577 | 0.6543 | 16.9516 | 79.5544 |
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+ | 0.1551 | 1.9997 | 21000 | 0.1561 | 279.2150 | 0.6444 | 16.7097 | 102.6016 |
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+ | 0.1532 | 2.0948 | 22000 | 0.1554 | 282.9574 | 0.6454 | 16.8213 | 85.0121 |
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+ | 0.1564 | 2.1901 | 23000 | 0.1554 | 332.3758 | 0.6485 | 18.2312 | 76.0350 |
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+ | 0.1568 | 2.2853 | 24000 | 0.1551 | 356.0441 | 0.6528 | 18.8691 | 92.2597 |
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+ | 0.1569 | 2.3805 | 25000 | 0.1562 | 333.3135 | 0.6536 | 18.2569 | 180.8556 |
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+ | 0.1569 | 2.4757 | 26000 | 0.1551 | 291.0384 | 0.6491 | 17.0598 | 80.7309 |
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+ | 0.1532 | 2.5710 | 27000 | 0.1553 | 280.0361 | 0.6489 | 16.7343 | 100.3318 |
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  ### Framework versions
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