End of training

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7753
-- Rmse: 0.6809
-- Accuracy: 0.8342
+- Loss: 0.7135
+- Rmse: 0.6123
+- Accuracy: 0.8691
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rmse   | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
-| 0.8876        | 1.0   | 3790  | 0.8646          | 0.6723 | 0.8332   |
-| 0.7213        | 2.0   | 7580  | 0.7753          | 0.6809 | 0.8342   |
-| 0.6517        | 3.0   | 11370 | 0.8566          | 0.6217 | 0.8543   |
-| 0.6016        | 4.0   | 15160 | 0.9131          | 0.6450 | 0.8532   |
-| 0.5317        | 5.0   | 18950 | 0.7939          | 0.6174 | 0.8659   |
+| 0.8907        | 1.0   | 3790  | 0.9401          | 0.6715 | 0.8152   |
+| 0.7855        | 2.0   | 7580  | 0.7974          | 0.6301 | 0.8501   |
+| 0.6837        | 3.0   | 11370 | 0.8520          | 0.6384 | 0.8553   |
+| 0.6271        | 4.0   | 15160 | 0.7731          | 0.6140 | 0.8669   |
+| 0.5311        | 5.0   | 18950 | 0.7135          | 0.6123 | 0.8691   |
 
 
 ### Framework versions