nacielo
/

whispherMusic

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4596
-- Rouge1: 67.0305
-- Rouge2: 49.4145
-- Rougel: 59.4632
-- Rougelsum: 59.5132
-- Gen Len: 47.98
 ## Model description
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 2.5281        | 1.0   | 983  | 1.7656          | 47.2738 | 19.609  | 35.166  | 35.1418   | 39.81   |
-| 1.8844        | 2.0   | 1966 | 1.4416          | 48.4369 | 22.034  | 36.3312 | 36.3541   | 41.88   |
-| 1.6071        | 3.0   | 2949 | 1.2060          | 49.7668 | 24.7504 | 38.8626 | 38.8523   | 37.8    |
-| 1.3867        | 4.0   | 3932 | 1.0056          | 52.8821 | 28.115  | 40.5389 | 40.5263   | 44.19   |
-| 1.1964        | 5.0   | 4915 | 0.8299          | 56.3235 | 32.1936 | 44.4629 | 44.3334   | 44.24   |
-| 1.0301        | 6.0   | 5898 | 0.6930          | 59.6505 | 36.3548 | 48.4558 | 48.3634   | 44.14   |
-| 0.904         | 7.0   | 6881 | 0.5916          | 61.3377 | 40.3586 | 50.8339 | 50.7188   | 46.15   |
-| 0.7985        | 8.0   | 7864 | 0.5157          | 64.7817 | 45.3792 | 56.0262 | 55.9178   | 47.7    |
-| 0.7125        | 9.0   | 8847 | 0.4722          | 66.0546 | 47.0456 | 57.422  | 57.37     | 48.35   |
-| 0.6514        | 10.0  | 9830 | 0.4596          | 67.0305 | 49.4145 | 59.4632 | 59.5132   | 47.98   |
 ### Framework versions

 This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6119
+- Rouge1: 44.2768
+- Rouge2: 23.1307
+- Rougel: 36.7378
+- Rougelsum: 36.7159
+- Gen Len: 72.18
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.3982        | 1.0   | 959  | 2.0620          | 26.4298 | 5.9908  | 23.2899 | 23.3213   | 64.6    |
+| 1.7265        | 2.0   | 1918 | 1.6701          | 27.8931 | 6.8526  | 24.1834 | 24.1954   | 65.1    |
+| 1.4192        | 3.0   | 2877 | 1.3889          | 30.545  | 8.5986  | 26.1328 | 26.1093   | 63.72   |
+| 1.215         | 4.0   | 3836 | 1.1685          | 32.7599 | 10.5476 | 27.2588 | 27.2407   | 66.01   |
+| 1.0452        | 5.0   | 4795 | 0.9892          | 33.4751 | 11.1674 | 27.5111 | 27.4954   | 65.03   |
+| 0.8959        | 6.0   | 5754 | 0.8506          | 35.995  | 13.1211 | 29.6986 | 29.745    | 67.8    |
+| 0.7872        | 7.0   | 6713 | 0.7457          | 39.7262 | 16.9675 | 32.8461 | 32.8319   | 70.65   |
+| 0.6891        | 8.0   | 7672 | 0.6733          | 41.6536 | 19.7787 | 34.6224 | 34.5889   | 67.49   |
+| 0.6223        | 9.0   | 8631 | 0.6272          | 43.4958 | 21.9107 | 36.5012 | 36.4477   | 72.2    |
+| 0.5763        | 10.0  | 9590 | 0.6119          | 44.2768 | 23.1307 | 36.7378 | 36.7159   | 72.18   |
 ### Framework versions