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: 2.5792
-- Rouge1: 23.4569
-- Rouge2: 3.8165
-- Rougel: 17.8862
-- Rougelsum: 17.8911
-- Gen Len: 70.52
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 4.4082        | 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

 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: 1.5337
+- Rouge1: 27.8124
+- Rouge2: 8.0272
+- Rougel: 20.1961
+- Rougelsum: 20.0449
+- Gen Len: 54.14
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 3.1541        | 1.0   | 1361  | 2.5808          | 26.8953 | 7.7532 | 20.2501 | 20.2057   | 48.0    |
+| 2.5425        | 2.0   | 2722  | 2.2246          | 22.0654 | 4.9919 | 18.3845 | 18.4076   | 25.9    |
+| 2.3282        | 3.0   | 4083  | 2.0100          | 31.8203 | 9.3519 | 22.4246 | 22.4174   | 78.89   |
+| 2.1766        | 4.0   | 5444  | 1.8790          | 27.1112 | 7.992  | 19.3218 | 19.1906   | 55.62   |
+| 2.1055        | 5.0   | 6805  | 1.7752          | 25.9685 | 7.9938 | 19.3583 | 19.2774   | 54.62   |
+| 1.9703        | 6.0   | 8166  | 1.6945          | 32.9795 | 9.0072 | 23.469  | 23.4519   | 72.38   |
+| 1.8918        | 7.0   | 9527  | 1.6316          | 26.8437 | 7.4896 | 19.49   | 19.4321   | 56.75   |
+| 1.8299        | 8.0   | 10888 | 1.5808          | 26.9448 | 7.5496 | 19.4471 | 19.3467   | 55.21   |
+| 1.7917        | 9.0   | 12249 | 1.5466          | 27.0708 | 7.759  | 19.7133 | 19.6295   | 56.2    |
+| 1.767         | 10.0  | 13610 | 1.5337          | 27.8124 | 8.0272 | 20.1961 | 20.0449   | 54.14   |
 ### Framework versions