End of training

README.md

@@ -1,6 +1,6 @@
 ---
-license: mit
-base_model: flax-community/spanish-t5-small
+license: apache-2.0
+base_model: vgaraujov/t5-base-spanish
 tags:
 - generated_from_trainer
 metrics:
@@ -15,14 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # augmented_t5_pictos
 
-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.
+This model is a fine-tuned version of [vgaraujov/t5-base-spanish](https://huggingface.co/vgaraujov/t5-base-spanish) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4052
-- Rouge1: 42.0934
-- Rouge2: 28.3804
-- Rougel: 41.2489
-- Rougelsum: 41.3148
-- Gen Len: 8.4979
+- Loss: 1.2659
+- Rouge1: 45.6149
+- Rouge2: 30.0038
+- Rougel: 44.5481
+- Rougelsum: 44.5275
+- Gen Len: 7.7863
 
 ## Model description
 
@@ -41,7 +41,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 3e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 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  |
+| 2.4139        | 1.0   | 527  | 1.9162          | 36.3092 | 19.4412 | 35.3042 | 35.2912   | 6.6688  |
+| 1.8071        | 2.0   | 1054 | 1.6680          | 42.3979 | 26.0796 | 41.4105 | 41.3967   | 7.0363  |
+| 1.5205        | 3.0   | 1581 | 1.5088          | 43.033  | 27.2079 | 42.0521 | 42.0524   | 7.6261  |
+| 1.3732        | 4.0   | 2108 | 1.4220          | 44.7554 | 28.8592 | 43.8614 | 43.8616   | 7.3504  |
+| 1.2345        | 5.0   | 2635 | 1.3596          | 45.1026 | 29.8953 | 44.055  | 44.0191   | 7.5791  |
+| 1.1474        | 6.0   | 3162 | 1.3102          | 44.9068 | 29.1063 | 43.7844 | 43.7561   | 7.7521  |
+| 1.0654        | 7.0   | 3689 | 1.2925          | 45.5775 | 29.9282 | 44.5345 | 44.5368   | 7.6090  |
+| 0.9925        | 8.0   | 4216 | 1.2732          | 45.3677 | 29.7696 | 44.3156 | 44.2848   | 7.7585  |
+| 0.9616        | 9.0   | 4743 | 1.2663          | 45.6594 | 30.2393 | 44.6785 | 44.7119   | 7.8419  |
+| 0.9296        | 10.0  | 5270 | 1.2659          | 45.6149 | 30.0038 | 44.5481 | 44.5275   | 7.7863  |
 
 
 ### Framework versions