update model card README.md

README.md

@@ -16,9 +16,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8676
-- Bleu: 0.0537
-- Gen Len: 19.0
+- Loss: 1.3850
+- Bleu: 4.7891
+- Gen Len: 17.9507
 
 ## Model description
 
@@ -37,29 +37,34 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.02
+- learning_rate: 0.0002
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 15
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 55   | 2.2419          | 0.0523 | 19.0    |
-| No log        | 2.0   | 110  | 2.0286          | 0.1719 | 19.0    |
-| No log        | 3.0   | 165  | 2.1105          | 0.1719 | 19.0    |
-| No log        | 4.0   | 220  | 1.9847          | 0.0393 | 19.0    |
-| No log        | 5.0   | 275  | 1.9553          | 0.0523 | 19.0    |
-| No log        | 6.0   | 330  | 2.0231          | 0.1719 | 19.0    |
-| No log        | 7.0   | 385  | 1.9451          | 0.1719 | 19.0    |
-| No log        | 8.0   | 440  | 1.9201          | 0.0537 | 19.0    |
-| No log        | 9.0   | 495  | 1.8968          | 0.0537 | 19.0    |
-| 2.0859        | 10.0  | 550  | 1.8676          | 0.0537 | 19.0    |
+| No log        | 1.0   | 55   | 2.2953          | 0.285  | 19.0    |
+| No log        | 2.0   | 110  | 1.9083          | 0.3426 | 19.0    |
+| No log        | 3.0   | 165  | 1.7123          | 0.6444 | 18.6404 |
+| No log        | 4.0   | 220  | 1.6110          | 1.1193 | 17.7291 |
+| No log        | 5.0   | 275  | 1.5440          | 0.9035 | 17.8621 |
+| No log        | 6.0   | 330  | 1.4924          | 0.8067 | 17.8424 |
+| No log        | 7.0   | 385  | 1.4654          | 0.8635 | 17.8079 |
+| No log        | 8.0   | 440  | 1.4445          | 2.3215 | 17.6059 |
+| No log        | 9.0   | 495  | 1.4319          | 2.5679 | 17.4384 |
+| 1.8308        | 10.0  | 550  | 1.4178          | 2.3622 | 17.7783 |
+| 1.8308        | 11.0  | 605  | 1.4011          | 3.6065 | 17.6995 |
+| 1.8308        | 12.0  | 660  | 1.3969          | 3.8257 | 17.8768 |
+| 1.8308        | 13.0  | 715  | 1.3930          | 4.7373 | 17.8325 |
+| 1.8308        | 14.0  | 770  | 1.3864          | 4.7501 | 17.9113 |
+| 1.8308        | 15.0  | 825  | 1.3850          | 4.7891 | 17.9507 |
 
 
 ### Framework versions