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 [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4141
+- Loss: 0.0745
 
 ## Model description
 
@@ -40,17 +40,22 @@ 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: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 9.366         | 1.0   | 35   | 6.6269          |
-| 1.7902        | 2.0   | 70   | 1.5461          |
-| 0.9568        | 3.0   | 105  | 0.6312          |
-| 0.6407        | 4.0   | 140  | 0.4544          |
-| 1.5622        | 5.0   | 175  | 0.4141          |
+| 6.6008        | 1.0   | 55   | 3.7359          |
+| 0.9015        | 2.0   | 110  | 0.4882          |
+| 0.5158        | 3.0   | 165  | 0.2454          |
+| 0.6051        | 4.0   | 220  | 0.1737          |
+| 1.0759        | 5.0   | 275  | 0.1356          |
+| 0.0473        | 6.0   | 330  | 0.1097          |
+| 0.0412        | 7.0   | 385  | 0.0928          |
+| 0.5505        | 8.0   | 440  | 0.0827          |
+| 0.0438        | 9.0   | 495  | 0.0764          |
+| 0.0687        | 10.0  | 550  | 0.0745          |
 
 
 ### Framework versions