End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2238
+- Loss: 1.6853
 
 ## Model description
 
@@ -40,19 +40,24 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 7
+- num_epochs: 12
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.1137        | 1.0   | 684  | 0.9948          |
-| 0.9401        | 2.0   | 1368 | 1.0000          |
-| 0.7252        | 3.0   | 2052 | 1.0297          |
-| 0.63          | 4.0   | 2736 | 1.0668          |
-| 0.5714        | 5.0   | 3420 | 1.1511          |
-| 0.481         | 6.0   | 4104 | 1.1907          |
-| 0.4489        | 7.0   | 4788 | 1.2238          |
+| 1.0951        | 1.0   | 684  | 0.9796          |
+| 0.9192        | 2.0   | 1368 | 0.9770          |
+| 0.6985        | 3.0   | 2052 | 1.0302          |
+| 0.6022        | 4.0   | 2736 | 1.0688          |
+| 0.5343        | 5.0   | 3420 | 1.2046          |
+| 0.4185        | 6.0   | 4104 | 1.2701          |
+| 0.362         | 7.0   | 4788 | 1.3791          |
+| 0.3206        | 8.0   | 5472 | 1.4673          |
+| 0.2622        | 9.0   | 6156 | 1.5769          |
+| 0.2543        | 10.0  | 6840 | 1.6076          |
+| 0.2142        | 11.0  | 7524 | 1.6842          |
+| 0.2051        | 12.0  | 8208 | 1.6853          |
 
 
 ### Framework versions