Model save

README.md

@@ -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: 0.3617
-- Mse: 0.9991
-- Mae: 0.3543
-- Rmse: 0.9995
-- Mape: 58.1562
+- Loss: 0.3301
+- Mse: 0.8712
+- Mae: 0.3288
+- Rmse: 0.9334
+- Smape: 85.5430
 
 ## Model description
 
@@ -50,10 +50,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Mse    | Mae    | Rmse   | Mape    |
-|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:-------:|
-| 0.3932        | 1.8868 | 100  | 0.3625          | 0.9940 | 0.3545 | 0.9970 | 99.4662 |
-| 0.3743        | 3.7736 | 200  | 0.3617          | 0.9991 | 0.3543 | 0.9995 | 58.1562 |
+| 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