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Coaster41
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patchtst-tsmixup

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patchtst
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  1. README.md +27 -33
  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: 0.1553
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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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@@ -46,39 +46,33 @@ 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: 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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  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: 0.1559
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+ - Mse: 274.9792
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+ - Mae: 0.6475
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+ - Rmse: 16.5825
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+ - Smape: 90.3816
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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: 10
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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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+ | 0.1858 | 0.0952 | 1000 | 0.1782 | 518.9319 | 0.7698 | 22.7801 | 100.2200 |
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+ | 0.1749 | 0.1904 | 2000 | 0.1696 | 427.1324 | 0.7240 | 20.6672 | 428.4419 |
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+ | 0.1741 | 0.2857 | 3000 | 0.1660 | 502.4791 | 0.7060 | 22.4160 | 93.6057 |
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+ | 0.1705 | 0.3809 | 4000 | 0.1647 | 423.8481 | 0.6876 | 20.5876 | 92.3590 |
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+ | 0.1657 | 0.4761 | 5000 | 0.1636 | 366.2942 | 0.6758 | 19.1388 | 86.3451 |
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+ | 0.1672 | 0.5713 | 6000 | 0.1611 | 365.8203 | 0.6785 | 19.1264 | 126.2944 |
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+ | 0.1621 | 0.6666 | 7000 | 0.1610 | 336.1272 | 0.6763 | 18.3338 | 118.4768 |
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+ | 0.1641 | 0.7618 | 8000 | 0.1598 | 392.5134 | 0.6727 | 19.8120 | 102.6643 |
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+ | 0.1607 | 0.8570 | 9000 | 0.1594 | 292.0475 | 0.6590 | 17.0894 | 114.6111 |
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+ | 0.1615 | 0.9522 | 10000 | 0.1584 | 298.7156 | 0.6652 | 17.2834 | 79.4739 |
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+ | 0.1585 | 1.0474 | 11000 | 0.1583 | 273.0431 | 0.6594 | 16.5240 | 92.2265 |
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+ | 0.16 | 1.1426 | 12000 | 0.1574 | 288.4399 | 0.6531 | 16.9835 | 94.1800 |
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+ | 0.1582 | 1.2379 | 13000 | 0.1581 | 252.3872 | 0.6558 | 15.8867 | 177.7797 |
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+ | 0.1563 | 1.3331 | 14000 | 0.1572 | 283.0400 | 0.6637 | 16.8238 | 76.9167 |
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+ | 0.1583 | 1.4283 | 15000 | 0.1567 | 315.5172 | 0.6533 | 17.7628 | 137.8005 |
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+ | 0.1591 | 1.5235 | 16000 | 0.1573 | 324.9469 | 0.6659 | 18.0263 | 73.2071 |
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+ | 0.1574 | 1.6188 | 17000 | 0.1562 | 369.6110 | 0.6552 | 19.2253 | 77.7899 |
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+ | 0.1592 | 1.7140 | 18000 | 0.1554 | 318.4736 | 0.6430 | 17.8458 | 81.0331 |
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+ | 0.1554 | 1.8092 | 19000 | 0.1560 | 277.4202 | 0.6529 | 16.6559 | 83.8692 |
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+ | 0.1588 | 1.9044 | 20000 | 0.1562 | 287.6734 | 0.6511 | 16.9609 | 73.7841 |
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+ | 0.1543 | 1.9997 | 21000 | 0.1559 | 274.9792 | 0.6475 | 16.5825 | 90.3816 |
 
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 9621916
 
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