End of training

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3716
-- Rouge1: 44.6732
-- Rouge2: 29.5427
-- Rougel: 44.3407
-- Rougelsum: 44.3626
-- Gen Len: 8.2906
+- Loss: 1.4052
+- Rouge1: 42.0934
+- Rouge2: 28.3804
+- Rougel: 41.2489
+- Rougelsum: 41.3148
+- Gen Len: 8.4979
 
 ## Model description
 
@@ -41,22 +41,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 2.1475        | 1.0   | 527  | 1.7342          | 37.3065 | 21.7821 | 36.9349 | 36.853    | 8.2799  |
-| 1.6495        | 2.0   | 1054 | 1.5130          | 42.3167 | 26.6311 | 41.9494 | 41.8617   | 8.1496  |
-| 1.445         | 3.0   | 1581 | 1.4049          | 43.5614 | 28.5147 | 43.2416 | 43.2528   | 8.2585  |
-| 1.2756        | 4.0   | 2108 | 1.3716          | 44.6732 | 29.5427 | 44.3407 | 44.3626   | 8.2906  |
+| 2.3625        | 1.0   | 527  | 2.0249          | 34.7282 | 19.5441 | 33.9362 | 33.9053   | 7.6303  |
+| 1.9453        | 2.0   | 1054 | 1.7992          | 37.5587 | 22.5669 | 36.6904 | 36.7767   | 8.2671  |
+| 1.7429        | 3.0   | 1581 | 1.6655          | 39.7178 | 24.1301 | 38.8293 | 38.8615   | 8.3462  |
+| 1.6306        | 4.0   | 2108 | 1.5791          | 40.8591 | 26.0948 | 40.088  | 40.0812   | 7.9573  |
+| 1.461         | 5.0   | 2635 | 1.5204          | 40.6998 | 25.5825 | 39.8972 | 39.9642   | 8.3568  |
+| 1.4178        | 6.0   | 3162 | 1.4702          | 41.0675 | 26.4585 | 40.1879 | 40.2333   | 8.4679  |
+| 1.3394        | 7.0   | 3689 | 1.4452          | 41.9649 | 27.1925 | 41.0945 | 41.1233   | 8.2329  |
+| 1.2844        | 8.0   | 4216 | 1.4210          | 41.9633 | 27.7102 | 40.9804 | 41.0706   | 8.5406  |
+| 1.2151        | 9.0   | 4743 | 1.4072          | 41.9336 | 28.0917 | 41.0597 | 41.1328   | 8.4722  |
+| 1.215         | 10.0  | 5270 | 1.4052          | 42.0934 | 28.3804 | 41.2489 | 41.3148   | 8.4979  |
 
 
 ### Framework versions