update model card README.md

README.md

@@ -13,12 +13,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6748
-- Mse: 0.6748
-- Rmse: 0.8214
-- Mae: 0.6117
-- R2: 0.3021
-- Smape: 116.1633
+- Loss: 0.7537
+- Mse: 0.7537
+- Rmse: 0.8681
+- Mae: 0.6368
+- R2: 0.2520
+- Smape: 120.6022
 
 ## Model description
 
@@ -47,15 +47,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Mse    | Rmse   | Mae    | R2     | Smape    |
+| Training Loss | Epoch | Step | Validation Loss | Mae    | Mse    | R2     | Rmse   | Smape    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:--------:|
-| No log        | 0.46  | 300  | 0.7167          | 0.7167 | 0.8466 | 0.6374 | 0.2588 | 125.6220 |
-| No log        | 0.91  | 600  | 0.6748          | 0.6748 | 0.8214 | 0.6117 | 0.3021 | 116.1633 |
+| No log        | 0.46  | 300  | 0.8953          | 0.7207 | 0.8953 | 0.1396 | 0.9462 | 135.3075 |
+| No log        | 0.91  | 600  | 0.7537          | 0.7537 | 0.8681 | 0.6368 | 0.2520 | 120.6022 |
 
 
 ### Framework versions
 
-- Transformers 4.27.0.dev0
+- Transformers 4.29.1
 - Pytorch 1.13.1
 - Datasets 2.9.0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.0