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: 4.4139
-- Rouge1: 24.3794
-- Rouge2: 4.9412
-- Rougel: 19.205
-- Rougelsum: 19.2107
-- Gen Len: 51.16
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 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

 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: 2.8649
+- Rouge1: 24.5018
+- Rouge2: 7.2557
+- Rougel: 18.535
+- Rougelsum: 18.4997
+- Gen Len: 50.24
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 3.2422        | 1.0   | 1361  | 2.9931          | 25.0594 | 6.9031 | 18.6171 | 18.5836   | 48.72   |
+| 3.1189        | 2.0   | 2722  | 2.9560          | 24.0397 | 7.0297 | 18.3958 | 18.3901   | 48.51   |
+| 3.1167        | 3.0   | 4083  | 2.9341          | 24.2991 | 7.1132 | 18.4583 | 18.4489   | 46.43   |
+| 3.1044        | 4.0   | 5444  | 2.9114          | 24.6611 | 7.2594 | 18.633  | 18.6267   | 49.35   |
+| 3.1629        | 5.0   | 6805  | 2.8981          | 24.1154 | 7.3257 | 18.5844 | 18.5767   | 46.03   |
+| 3.1118        | 6.0   | 8166  | 2.8856          | 24.7206 | 7.2058 | 18.615  | 18.5836   | 51.1    |
+| 3.1004        | 7.0   | 9527  | 2.8762          | 24.3086 | 7.2822 | 18.5582 | 18.4717   | 48.02   |
+| 3.0851        | 8.0   | 10888 | 2.8702          | 24.3488 | 7.2356 | 18.4268 | 18.3977   | 49.38   |
+| 3.0963        | 9.0   | 12249 | 2.8663          | 24.4728 | 7.2887 | 18.4689 | 18.4485   | 50.51   |
+| 3.0999        | 10.0  | 13610 | 2.8649          | 24.5018 | 7.2557 | 18.535  | 18.4997   | 50.24   |
 ### Framework versions