nacielo
/

whispherMusic

Automatic Speech Recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

nacielo commited on Aug 17, 2023

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update model card README.md

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@@ -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: 1.1914
-- Rouge1: 30.2379
-- Rouge2: 8.3781
-- Rougel: 25.6302
-- Rougelsum: 25.6217
-- Gen Len: 63.09
 ## Model description
@@ -51,13 +51,13 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 3.0989        | 1.0   | 959  | 2.7267          | 22.3544 | 3.7732 | 21.0972 | 21.1155   | 58.46   |
-| 2.2959        | 2.0   | 1918 | 2.1774          | 23.3309 | 3.946  | 21.5505 | 21.497    | 61.0    |
-| 1.8902        | 3.0   | 2877 | 1.7126          | 26.1869 | 5.372  | 23.7001 | 23.6849   | 61.0    |
-| 1.5533        | 4.0   | 3836 | 1.3554          | 29.4291 | 7.42   | 25.1978 | 25.1515   | 62.55   |
-| 1.2635        | 5.0   | 4795 | 1.1914          | 30.2379 | 8.3781 | 25.6302 | 25.6217   | 63.09   |
 ### 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: 0.7159
+- Rouge1: 51.0246
+- Rouge2: 28.8904
+- Rougel: 41.9694
+- Rougelsum: 41.9864
+- Gen Len: 57.62
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.3604        | 1.0   | 1361 | 1.8562          | 29.3488 | 8.9477  | 21.7546 | 21.8458   | 49.94   |
+| 1.8249        | 2.0   | 2722 | 1.4736          | 35.8525 | 12.9644 | 26.8468 | 26.8883   | 53.59   |
+| 1.4928        | 3.0   | 4083 | 1.1557          | 36.0664 | 11.6796 | 26.6999 | 26.7209   | 65.05   |
+| 1.149         | 4.0   | 5444 | 0.8567          | 45.1488 | 21.9847 | 35.4935 | 35.6169   | 56.51   |
+| 0.862         | 5.0   | 6805 | 0.7159          | 51.0246 | 28.8904 | 41.9694 | 41.9864   | 57.62   |
 ### Framework versions