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: 0.6119
-- Rouge1: 44.2768
-- Rouge2: 23.1307
-- Rougel: 36.7378
-- Rougelsum: 36.7159
-- Gen Len: 72.18
 ## Model description
@@ -51,18 +51,18 @@ The following hyperparameters were used during training:
 ### Training results
-| 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

 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: 0.0963
+- Rouge1: 90.9672
+- Rouge2: 87.2313
+- Rougel: 89.5998
+- Rougelsum: 89.7339
+- Gen Len: 61.55
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.1983        | 1.0   | 1361  | 0.8877          | 47.1749 | 24.9442 | 38.1501 | 38.1934   | 56.0    |
+| 0.8787        | 2.0   | 2722  | 0.6673          | 53.2613 | 32.6244 | 45.2405 | 45.3614   | 58.53   |
+| 0.6983        | 3.0   | 4083  | 0.4976          | 57.5956 | 38.8147 | 51.0468 | 51.1725   | 59.97   |
+| 0.5077        | 4.0   | 5444  | 0.3677          | 65.1283 | 49.4333 | 59.061  | 59.107    | 58.67   |
+| 0.3955        | 5.0   | 6805  | 0.2650          | 70.453  | 58.4358 | 66.2936 | 66.5477   | 59.05   |
+| 0.2846        | 6.0   | 8166  | 0.1987          | 77.3147 | 67.0836 | 73.4161 | 73.6763   | 59.26   |
+| 0.21          | 7.0   | 9527  | 0.1489          | 84.5594 | 78.1538 | 82.1324 | 82.1614   | 60.14   |
+| 0.1598        | 8.0   | 10888 | 0.1196          | 88.5138 | 83.886  | 86.8481 | 86.9753   | 61.14   |
+| 0.1213        | 9.0   | 12249 | 0.1023          | 91.0285 | 87.2329 | 89.6909 | 89.7877   | 61.19   |
+| 0.1051        | 10.0  | 13610 | 0.0963          | 90.9672 | 87.2313 | 89.5998 | 89.7339   | 61.55   |
 ### Framework versions