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: 2.1978
-- Rouge1: 43.2017
-- Rouge2: 16.8011
-- Rougel: 28.9318
-- Rougelsum: 28.9902
-- Gen Len: 36.25
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 5.4406        | 1.0   | 983  | 4.3610          | 34.3659 | 11.8654 | 26.2895 | 26.2889   | 22.06   |
-| 3.9853        | 2.0   | 1966 | 3.1187          | 43.3423 | 19.8183 | 31.8791 | 31.8738   | 45.21   |
-| 3.269         | 3.0   | 2949 | 2.8130          | 38.1887 | 14.2128 | 29.0488 | 29.127    | 28.63   |
-| 3.0045        | 4.0   | 3932 | 2.6330          | 37.1625 | 14.669  | 27.8372 | 27.8784   | 27.94   |
-| 2.8579        | 5.0   | 4915 | 2.5208          | 41.7213 | 18.5002 | 29.5178 | 29.5437   | 35.87   |
-| 2.721         | 6.0   | 5898 | 2.3881          | 41.2077 | 16.757  | 28.387  | 28.4421   | 29.84   |
-| 2.6466        | 7.0   | 6881 | 2.3244          | 38.8737 | 14.5737 | 27.2573 | 27.2661   | 32.52   |
-| 2.5749        | 8.0   | 7864 | 2.2520          | 41.5266 | 16.128  | 28.4608 | 28.4961   | 34.55   |
-| 2.5065        | 9.0   | 8847 | 2.2142          | 44.3673 | 17.3337 | 29.6919 | 29.7362   | 39.92   |
-| 2.4872        | 10.0  | 9830 | 2.1978          | 43.2017 | 16.8011 | 28.9318 | 28.9902   | 36.25   |
 ### 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: 2.5792
+- Rouge1: 23.4569
+- Rouge2: 3.8165
+- Rougel: 17.8862
+- Rougelsum: 17.8911
+- Gen Len: 70.52
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 4.4082        | 1.0   | 959  | 4.1636          | 20.1898 | 2.4411 | 15.8204 | 15.8093   | 58.03   |
+| 3.5803        | 2.0   | 1918 | 3.7122          | 19.0258 | 2.1105 | 14.6927 | 14.6946   | 55.63   |
+| 3.2398        | 3.0   | 2877 | 3.3901          | 22.342  | 2.9157 | 17.4805 | 17.4664   | 59.7    |
+| 3.0207        | 4.0   | 3836 | 3.1438          | 21.7114 | 3.184  | 16.7918 | 16.7931   | 65.44   |
+| 2.8507        | 5.0   | 4795 | 2.9729          | 20.046  | 2.5204 | 16.3012 | 16.3135   | 55.45   |
+| 2.752         | 6.0   | 5754 | 2.8351          | 22.2957 | 3.4475 | 17.148  | 17.1805   | 74.22   |
+| 2.6309        | 7.0   | 6713 | 2.7366          | 20.3547 | 2.5414 | 15.6025 | 15.5605   | 62.23   |
+| 2.5549        | 8.0   | 7672 | 2.6554          | 23.3943 | 3.8971 | 18.0303 | 18.0104   | 76.83   |
+| 2.499         | 9.0   | 8631 | 2.6016          | 22.204  | 3.5576 | 17.2275 | 17.2721   | 81.08   |
+| 2.4656        | 10.0  | 9590 | 2.5792          | 23.4569 | 3.8165 | 17.8862 | 17.8911   | 70.52   |
 ### Framework versions