nacielo
/

hubert2BertMusicwithNewS10

@@ -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: 2.9734
-- Rouge1: 23.9184
-- Rouge2: 7.161
-- Rougel: 18.3653
-- Rougelsum: 18.3289
-- Gen Len: 45.86
 ## Model description
@@ -40,23 +40,28 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 4.3541        | 1.0   | 1361 | 3.7286          | 31.3443 | 8.5461 | 22.9152 | 22.8633   | 44.4    |
-| 3.6252        | 2.0   | 2722 | 3.2950          | 25.3846 | 6.7268 | 19.4638 | 19.3924   | 40.12   |
-| 3.3709        | 3.0   | 4083 | 3.1073          | 26.3761 | 7.1947 | 19.4663 | 19.4253   | 44.76   |
-| 3.2605        | 4.0   | 5444 | 3.0024          | 23.8355 | 7.1978 | 18.3755 | 18.3194   | 45.61   |
-| 3.2417        | 5.0   | 6805 | 2.9734          | 23.9184 | 7.161  | 18.3653 | 18.3289   | 45.86   |
 ### 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: 2.9826
+- Rouge1: 41.7849
+- Rouge2: 16.827
+- Rougel: 30.2876
+- Rougelsum: 30.3452
+- Gen Len: 33.09
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 1e-06
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 10
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 3.934         | 1.0   | 983  | 3.2674          | 39.1931 | 15.4549 | 29.0372 | 29.0798   | 33.06   |
+| 3.4613        | 2.0   | 1966 | 3.1359          | 39.1184 | 16.7176 | 30.4367 | 30.485    | 30.61   |
+| 3.3732        | 3.0   | 2949 | 3.0870          | 37.745  | 15.4165 | 29.4667 | 29.4787   | 28.73   |
+| 3.3173        | 4.0   | 3932 | 3.0563          | 42.9662 | 18.0767 | 31.2519 | 31.3076   | 33.5    |
+| 3.308         | 5.0   | 4915 | 3.0260          | 42.4731 | 17.6266 | 30.6927 | 30.7491   | 33.75   |
+| 3.2768        | 6.0   | 5898 | 3.0119          | 41.9782 | 17.0076 | 30.2951 | 30.3719   | 33.35   |
+| 3.2744        | 7.0   | 6881 | 2.9986          | 42.209  | 17.1482 | 30.7224 | 30.7751   | 33.41   |
+| 3.2581        | 8.0   | 7864 | 2.9907          | 42.1508 | 17.2078 | 30.638  | 30.7119   | 33.24   |
+| 3.236         | 9.0   | 8847 | 2.9853          | 41.8212 | 17.0602 | 30.3253 | 30.3585   | 33.08   |
+| 3.2526        | 10.0  | 9830 | 2.9826          | 41.7849 | 16.827  | 30.2876 | 30.3452   | 33.09   |
 ### Framework versions