Coaster41
/

patchtst-tsmixup

@@ -14,11 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3301
-- Mse: 0.8712
-- Mae: 0.3288
-- Rmse: 0.9334
-- Smape: 85.5430
 ## Model description
@@ -52,21 +52,21 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Mse    | Mae    | Rmse   | Smape    |
 |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
-| 1.1685        | 0.3170 | 100  | 0.8374          | 1.7099 | 0.6137 | 1.3076 | 106.8918 |
-| 1.0318        | 0.6339 | 200  | 0.4855          | 1.2400 | 0.4462 | 1.1136 | 125.0762 |
-| 0.4938        | 0.9509 | 300  | 0.3613          | 0.9699 | 0.3634 | 0.9848 | 82.1791  |
-| 35.9478       | 1.2662 | 400  | 0.3498          | 0.9308 | 0.3538 | 0.9648 | 90.9564  |
-| 0.3811        | 1.5832 | 500  | 0.3441          | 0.9113 | 0.3522 | 0.9546 | 194.9261 |
-| 0.6228        | 1.9002 | 600  | 0.3448          | 0.9169 | 0.3498 | 0.9575 | 68.6360  |
-| 0.3843        | 2.2155 | 700  | 0.3430          | 0.8945 | 0.3426 | 0.9458 | 65.4877  |
-| 0.464         | 2.5325 | 800  | 0.3393          | 0.8932 | 0.3349 | 0.9451 | 85.1986  |
-| 0.401         | 2.8494 | 900  | 0.3404          | 0.8994 | 0.3508 | 0.9484 | 89.1697  |
-| 0.3651        | 3.1648 | 1000 | 0.3351          | 0.8895 | 0.3379 | 0.9431 | 164.3269 |
-| 0.4518        | 3.4818 | 1100 | 0.3346          | 0.8939 | 0.3395 | 0.9454 | 61.2275  |
-| 0.3508        | 3.7987 | 1200 | 0.3360          | 0.8978 | 0.3379 | 0.9475 | 71.9632  |
-| 0.354         | 4.1141 | 1300 | 0.3336          | 0.8732 | 0.3288 | 0.9344 | 74.0713  |
-| 0.4083        | 4.4311 | 1400 | 0.3308          | 0.8749 | 0.3306 | 0.9354 | 91.9492  |
-| 3.0197        | 4.7480 | 1500 | 0.3301          | 0.8712 | 0.3288 | 0.9334 | 85.5430  |
 ### Framework versions

 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1667
+- Mse: 0.9109
+- Mae: 0.3200
+- Rmse: 0.9544
+- Smape: 66.8504
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss | Mse    | Mae    | Rmse   | Smape    |
 |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
+| 0.4699        | 0.3170 | 100  | 0.3986          | 1.9127 | 0.5988 | 1.3830 | 85.7261  |
+| 0.3548        | 0.6339 | 200  | 0.2949          | 1.4500 | 0.4838 | 1.2042 | 106.9687 |
+| 0.2584        | 0.9509 | 300  | 0.2033          | 1.0556 | 0.3760 | 1.0274 | 110.8115 |
+| 0.2056        | 1.2662 | 400  | 0.1819          | 0.9678 | 0.3455 | 0.9838 | 98.2755  |
+| 0.1933        | 1.5832 | 500  | 0.1795          | 0.9547 | 0.3400 | 0.9771 | 82.1879  |
+| 0.1904        | 1.9002 | 600  | 0.1797          | 0.9553 | 0.3421 | 0.9774 | 80.7883  |
+| 0.1865        | 2.2155 | 700  | 0.1757          | 0.9618 | 0.3338 | 0.9807 | 94.2195  |
+| 0.1872        | 2.5325 | 800  | 0.1749          | 0.9400 | 0.3335 | 0.9695 | 202.7448 |
+| 0.1861        | 2.8494 | 900  | 0.1737          | 0.9284 | 0.3323 | 0.9635 | 134.4096 |
+| 0.1838        | 3.1648 | 1000 | 0.1740          | 0.9250 | 0.3337 | 0.9618 | 87.0757  |
+| 0.1846        | 3.4818 | 1100 | 0.1714          | 0.9415 | 0.3278 | 0.9703 | 76.6578  |
+| 0.1806        | 3.7987 | 1200 | 0.1703          | 0.9292 | 0.3265 | 0.9640 | 69.0125  |
+| 0.1806        | 4.1141 | 1300 | 0.1674          | 0.9126 | 0.3213 | 0.9553 | 67.0837  |
+| 0.1776        | 4.4311 | 1400 | 0.1691          | 0.9056 | 0.3268 | 0.9516 | 55.4593  |
+| 0.177         | 4.7480 | 1500 | 0.1667          | 0.9109 | 0.3200 | 0.9544 | 66.8504  |
 ### Framework versions