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: 2.2974
-- Rouge1: 41.5494
-- Rouge2: 15.8955
-- Rougel: 28.4976
-- Rougelsum: 28.4788
-- Gen Len: 29.74
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 3.3075        | 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

 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: 2.7855
+- Rouge1: 20.7363
+- Rouge2: 3.2333
+- Rougel: 16.3746
+- Rougelsum: 16.4147
+- Gen Len: 59.07
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 3.3305        | 1.0   | 959  | 3.3111          | 22.9356 | 3.2508 | 17.366  | 17.4075   | 57.61   |
+| 2.9292        | 2.0   | 1918 | 3.1469          | 20.9236 | 3.1184 | 16.3203 | 16.3454   | 55.43   |
+| 2.7957        | 3.0   | 2877 | 3.0347          | 21.339  | 3.6129 | 16.8758 | 16.8954   | 60.23   |
+| 2.7126        | 4.0   | 3836 | 2.9680          | 21.4247 | 3.6279 | 16.5494 | 16.5481   | 59.34   |
+| 2.6505        | 5.0   | 4795 | 2.9066          | 21.3352 | 3.0876 | 16.723  | 16.7403   | 58.91   |
+| 2.6375        | 6.0   | 5754 | 2.8660          | 21.6979 | 3.2778 | 17.0033 | 17.0018   | 59.94   |
+| 2.5865        | 7.0   | 6713 | 2.8287          | 20.2156 | 3.2757 | 16.0352 | 16.0346   | 56.15   |
+| 2.5824        | 8.0   | 7672 | 2.8060          | 22.5532 | 3.5368 | 17.4646 | 17.4785   | 60.47   |
+| 2.5851        | 9.0   | 8631 | 2.7895          | 20.7575 | 3.0594 | 16.2891 | 16.3196   | 59.13   |
+| 2.6084        | 10.0  | 9590 | 2.7855          | 20.7363 | 3.2333 | 16.3746 | 16.4147   | 59.07   |
 ### Framework versions