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: 2.9826
-- Rouge1: 41.7849
-- Rouge2: 16.827
-- Rougel: 30.2876
-- Rougelsum: 30.3452
-- Gen Len: 33.09
 ## Model description
@@ -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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 3.934         | 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

 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: 4.4139
+- Rouge1: 24.3794
+- Rouge2: 4.9412
+- Rougel: 19.205
+- Rougelsum: 19.2107
+- Gen Len: 51.16
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 4.4454        | 1.0   | 959  | 4.6265          | 24.4595 | 4.7745 | 19.2604 | 19.2988   | 57.33   |
+| 4.1901        | 2.0   | 1918 | 4.5567          | 24.5473 | 4.7264 | 18.9617 | 18.9986   | 53.44   |
+| 4.1365        | 3.0   | 2877 | 4.5116          | 24.6373 | 4.3808 | 19.1493 | 19.1806   | 54.87   |
+| 4.1127        | 4.0   | 3836 | 4.4887          | 23.9718 | 4.6223 | 18.9014 | 18.9082   | 51.74   |
+| 4.0897        | 5.0   | 4795 | 4.4625          | 24.0425 | 4.5823 | 18.9648 | 18.9859   | 51.82   |
+| 4.1068        | 6.0   | 5754 | 4.4463          | 24.2117 | 4.6975 | 19.0849 | 19.0801   | 52.0    |
+| 4.0648        | 7.0   | 6713 | 4.4291          | 24.9063 | 4.9874 | 19.525  | 19.5332   | 51.54   |
+| 4.0609        | 8.0   | 7672 | 4.4235          | 24.6819 | 4.9386 | 19.4017 | 19.4192   | 51.44   |
+| 4.0465        | 9.0   | 8631 | 4.4159          | 24.7269 | 4.9681 | 19.2497 | 19.2745   | 51.34   |
+| 4.0713        | 10.0  | 9590 | 4.4139          | 24.3794 | 4.9412 | 19.205  | 19.2107   | 51.16   |
 ### Framework versions