End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0076
-- Quadruple Accuracy: 0.2846
+- Loss: 0.0065
+- Quadruple Accuracy: 0.3182
 
 ## Model description
 
@@ -42,18 +42,23 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Quadruple Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------------------:|
-| 0.0553        | 1.0   | 468  | 0.0204          | 0.0030             |
-| 0.0145        | 2.0   | 936  | 0.0101          | 0.2372             |
-| 0.0202        | 3.0   | 1404 | 0.0083          | 0.2283             |
-| 0.0142        | 4.0   | 1872 | 0.0077          | 0.2628             |
-| 0.0135        | 5.0   | 2340 | 0.0076          | 0.2846             |
+| 0.0528        | 1.0   | 468  | 0.0192          | 0.0138             |
+| 0.0133        | 2.0   | 936  | 0.0091          | 0.2658             |
+| 0.0169        | 3.0   | 1404 | 0.0077          | 0.2579             |
+| 0.0115        | 4.0   | 1872 | 0.0072          | 0.2885             |
+| 0.0104        | 5.0   | 2340 | 0.0069          | 0.3211             |
+| 0.0078        | 6.0   | 2808 | 0.0067          | 0.3211             |
+| 0.0094        | 7.0   | 3276 | 0.0066          | 0.3142             |
+| 0.0072        | 8.0   | 3744 | 0.0065          | 0.3113             |
+| 0.0084        | 9.0   | 4212 | 0.0065          | 0.3152             |
+| 0.0064        | 10.0  | 4680 | 0.0065          | 0.3182             |
 
 
 ### Framework versions