nacielo
/

hubert2BertMusic100

@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5608
-- Rouge1: 26.8788
-- Rouge2: 7.7875
-- Rougel: 19.0867
-- Rougelsum: 19.0059
-- Gen Len: 52.68
 ## Model description
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
@@ -50,18 +50,18 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 3.184         | 1.0   | 1361  | 2.6115          | 25.0008 | 7.7596 | 19.0824 | 19.0223   | 46.0    |
-| 2.5657        | 2.0   | 2722  | 2.2430          | 25.4109 | 4.9388 | 18.851  | 18.8614   | 52.19   |
-| 2.3496        | 3.0   | 4083  | 2.0430          | 26.517  | 7.6506 | 18.9172 | 18.8696   | 56.45   |
-| 2.2011        | 4.0   | 5444  | 1.9079          | 27.1096 | 7.7201 | 19.2615 | 19.2315   | 52.62   |
-| 2.1264        | 5.0   | 6805  | 1.8010          | 25.8208 | 6.5427 | 18.2762 | 18.2818   | 56.84   |
-| 1.9913        | 6.0   | 8166  | 1.7185          | 32.4549 | 8.4658 | 22.9767 | 22.9609   | 67.77   |
-| 1.9133        | 7.0   | 9527  | 1.6602          | 26.8271 | 7.4957 | 19.093  | 19.0392   | 50.07   |
-| 1.8605        | 8.0   | 10888 | 1.6075          | 29.8012 | 8.5321 | 21.3029 | 21.2936   | 63.94   |
-| 1.8227        | 9.0   | 12249 | 1.5714          | 27.1868 | 7.8113 | 19.1224 | 19.0768   | 57.59   |
-| 1.7965        | 10.0  | 13610 | 1.5608          | 26.8788 | 7.7875 | 19.0867 | 19.0059   | 52.68   |
 ### Framework versions

 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.2974
+- Rouge1: 41.5494
+- Rouge2: 15.8955
+- Rougel: 28.4976
+- Rougelsum: 28.4788
+- Gen Len: 29.74
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 1e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 3.3075        | 1.0   | 983  | 2.6905          | 38.3281 | 14.8669 | 27.5391 | 27.5238   | 26.34   |
+| 2.8628        | 2.0   | 1966 | 2.5461          | 38.4547 | 13.8494 | 27.3658 | 27.3421   | 25.98   |
+| 2.7651        | 3.0   | 2949 | 2.4781          | 37.2449 | 13.5129 | 27.0002 | 26.9799   | 26.61   |
+| 2.6868        | 4.0   | 3932 | 2.4300          | 36.455  | 12.9356 | 26.3679 | 26.3541   | 26.34   |
+| 2.6495        | 5.0   | 4915 | 2.3831          | 38.3906 | 14.0608 | 27.1938 | 27.1658   | 26.82   |
+| 2.5998        | 6.0   | 5898 | 2.3540          | 38.494  | 14.2563 | 28.1965 | 28.1759   | 27.45   |
+| 2.5765        | 7.0   | 6881 | 2.3276          | 39.2255 | 14.2606 | 27.6345 | 27.63     | 26.84   |
+| 2.5627        | 8.0   | 7864 | 2.3084          | 40.3646 | 15.1743 | 27.9993 | 27.9856   | 28.86   |
+| 2.5344        | 9.0   | 8847 | 2.3018          | 39.7955 | 14.8471 | 27.7538 | 27.7231   | 27.81   |
+| 2.5493        | 10.0  | 9830 | 2.2974          | 41.5494 | 15.8955 | 28.4976 | 28.4788   | 29.74   |
 ### Framework versions