End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.0238
+- Loss: 0.4829
 
 ## Model description
 
@@ -35,28 +35,38 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.001
+- learning_rate: 0.01
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
 - optimizer: Use OptimizerNames.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: 10
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 7    | 26.5616         |
-| 32.0769       | 2.0   | 14   | 18.4927         |
-| 18.4675       | 3.0   | 21   | 10.0570         |
-| 18.4675       | 4.0   | 28   | 4.8303          |
-| 7.7849        | 5.0   | 35   | 4.5457          |
-| 4.9112        | 6.0   | 42   | 4.3735          |
-| 4.9112        | 7.0   | 49   | 4.2257          |
-| 4.5517        | 8.0   | 56   | 4.1220          |
-| 4.3929        | 9.0   | 63   | 4.0520          |
-| 4.2833        | 10.0  | 70   | 4.0238          |
+| No log        | 1.0   | 7    | 4.4814          |
+| 14.0527       | 2.0   | 14   | 2.8827          |
+| 2.9577        | 3.0   | 21   | 0.9385          |
+| 2.9577        | 4.0   | 28   | 0.7474          |
+| 1.1968        | 5.0   | 35   | 0.6469          |
+| 0.856         | 6.0   | 42   | 0.6204          |
+| 0.856         | 7.0   | 49   | 0.5960          |
+| 0.8294        | 8.0   | 56   | 0.5871          |
+| 0.7195        | 9.0   | 63   | 0.5555          |
+| 0.6591        | 10.0  | 70   | 0.5468          |
+| 0.6591        | 11.0  | 77   | 0.5375          |
+| 0.6328        | 12.0  | 84   | 0.5498          |
+| 0.5922        | 13.0  | 91   | 0.5306          |
+| 0.5922        | 14.0  | 98   | 0.5075          |
+| 0.5789        | 15.0  | 105  | 0.4910          |
+| 0.5288        | 16.0  | 112  | 0.4886          |
+| 0.5288        | 17.0  | 119  | 0.4802          |
+| 0.5109        | 18.0  | 126  | 0.4869          |
+| 0.5001        | 19.0  | 133  | 0.4834          |
+| 0.4811        | 20.0  | 140  | 0.4829          |
 
 
 ### Framework versions