diff --git a/README.md b/README.md
index 25e1a48..84dcf8d 100644
--- a/README.md
+++ b/README.md
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinvino02/glpn-kitti](https://huggingface.co/vinvino02/glpn-kitti) on the diode-subset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8818
-- Rmse: 0.7721
+- Loss: 0.5845
+- Rmse: 0.6175
 
 ## Model description
 
@@ -47,23 +47,22 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rmse |
-|:-------------:|:-----:|:----:|:---------------:|:----:|
-| No log        | 1.0   | 10   | 0.8395          | nan  |
-| 0.9442        | 2.0   | 20   | 0.8097          | nan  |
-| 0.894         | 3.0   | 30   | 0.7852          | nan  |
-| 0.894         | 4.0   | 40   | 0.7784          | nan  |
-| 0.8759        | 5.0   | 50   | 0.7690          | nan  |
-| 0.8475        | 6.0   | 60   | 0.7591          | nan  |
-| 0.8475        | 7.0   | 70   | 0.7493          | nan  |
-| 0.8312        | 8.0   | 80   | 0.7440          | nan  |
-| 0.83          | 9.0   | 90   | 0.7400          | nan  |
-| 0.83          | 10.0  | 100  | 0.7404          | nan  |
+| Training Loss | Epoch | Step | Validation Loss | Rmse   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 10   | 0.8001          | 0.8455 |
+| 0.8187        | 2.0   | 20   | 0.7558          | 0.7907 |
+| 0.8187        | 3.0   | 30   | 0.7391          | 0.7379 |
+| 0.7618        | 4.0   | 40   | 0.6937          | 0.6895 |
+| 0.7618        | 5.0   | 50   | 0.6954          | nan    |
+| 0.6917        | 6.0   | 60   | 0.6834          | nan    |
+| 0.6917        | 7.0   | 70   | 0.6719          | nan    |
+| 0.6625        | 8.0   | 80   | 0.6634          | nan    |
+| 0.6625        | 9.0   | 90   | 0.6592          | nan    |
+| 0.6553        | 10.0  | 100  | 0.6579          | nan    |
 
 
 ### Framework versions
 
 - Transformers 4.24.0
 - Pytorch 1.12.1+cu113
-- Datasets 2.6.1
 - Tokenizers 0.13.2