nacielo
/

hubert2BertMusic200

@@ -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: 2.6404
-- Rouge1: 22.2447
-- Rouge2: 3.1014
-- Rougel: 17.3915
-- Rougelsum: 17.384
-- Gen Len: 60.98
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 3.1772        | 1.0   | 959  | 3.1357          | 21.4108 | 2.939  | 16.5248 | 16.5394   | 60.88   |
-| 2.7873        | 2.0   | 1918 | 2.9875          | 24.3504 | 4.0795 | 18.7327 | 18.7742   | 69.0    |
-| 2.6552        | 3.0   | 2877 | 2.8820          | 21.8354 | 3.0916 | 17.496  | 17.492    | 74.39   |
-| 2.581         | 4.0   | 3836 | 2.8149          | 21.4271 | 3.4575 | 17.1908 | 17.2267   | 69.41   |
-| 2.5259        | 5.0   | 4795 | 2.7547          | 23.1425 | 3.374  | 17.9846 | 18.0169   | 64.79   |
-| 2.5174        | 6.0   | 5754 | 2.7169          | 23.3286 | 3.4459 | 17.874  | 17.8877   | 69.12   |
-| 2.4736        | 7.0   | 6713 | 2.6804          | 21.7065 | 3.0158 | 17.2875 | 17.2913   | 60.51   |
-| 2.4705        | 8.0   | 7672 | 2.6585          | 21.4536 | 3.1165 | 17.0642 | 17.0887   | 60.39   |
-| 2.4776        | 9.0   | 8631 | 2.6448          | 22.8956 | 3.4093 | 17.6982 | 17.6927   | 63.92   |
-| 2.5006        | 10.0  | 9590 | 2.6404          | 22.2447 | 3.1014 | 17.3915 | 17.384    | 60.98   |
 ### 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: 1.4375
+- Rouge1: 29.0195
+- Rouge2: 7.3975
+- Rougel: 20.4993
+- Rougelsum: 20.3634
+- Gen Len: 52.81
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 1.8641        | 1.0   | 1361  | 1.6566          | 29.2626 | 7.4871 | 20.625  | 20.5664   | 60.57   |
+| 1.7169        | 2.0   | 2722  | 1.5973          | 26.9521 | 7.8677 | 19.7208 | 19.6278   | 50.38   |
+| 1.6726        | 3.0   | 4083  | 1.5585          | 30.2177 | 7.3497 | 20.92   | 20.8207   | 60.63   |
+| 1.628         | 4.0   | 5444  | 1.5186          | 28.2694 | 7.5824 | 19.796  | 19.7173   | 56.45   |
+| 1.6528        | 5.0   | 6805  | 1.4964          | 27.9623 | 7.8577 | 20.0053 | 19.92     | 52.75   |
+| 1.6151        | 6.0   | 8166  | 1.4718          | 30.3355 | 7.9194 | 20.9989 | 20.9562   | 55.94   |
+| 1.6218        | 7.0   | 9527  | 1.4591          | 27.9266 | 7.673  | 20.1116 | 20.0565   | 54.25   |
+| 1.6252        | 8.0   | 10888 | 1.4481          | 28.8105 | 7.6804 | 20.5785 | 20.4439   | 52.84   |
+| 1.6551        | 9.0   | 12249 | 1.4407          | 28.4905 | 7.2818 | 20.0679 | 19.9556   | 55.59   |
+| 1.6986        | 10.0  | 13610 | 1.4375          | 29.0195 | 7.3975 | 20.4993 | 20.3634   | 52.81   |
 ### Framework versions