nacielo
/

whispherMusicTiny

Automatic Speech Recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

nacielo commited on Aug 19, 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-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2928
-- Rouge1: 47.848
-- Rouge2: 21.6764
-- Rougel: 35.5314
-- Rougelsum: 35.4639
-- Gen Len: 40.82
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 2.8872        | 1.0   | 983  | 2.1971          | 37.1303 | 10.7391 | 30.2675 | 30.2912   | 38.88   |
-| 2.3087        | 2.0   | 1966 | 1.9342          | 43.2573 | 16.4043 | 32.2734 | 32.2172   | 37.88   |
-| 2.0355        | 3.0   | 2949 | 1.6786          | 42.6805 | 16.4311 | 31.9712 | 31.9628   | 32.77   |
-| 1.7976        | 4.0   | 3932 | 1.4354          | 46.1514 | 20.0287 | 34.8065 | 34.7311   | 34.71   |
-| 1.5571        | 5.0   | 4915 | 1.2928          | 47.848  | 21.6764 | 35.5314 | 35.4639   | 40.82   |
 ### Framework versions

 This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.5623
+- Rouge1: 26.7441
+- Rouge2: 6.3706
+- Rougel: 23.6169
+- Rougelsum: 23.5887
+- Gen Len: 65.71
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 3.187         | 1.0   | 959  | 2.8591          | 22.3571 | 4.0074 | 20.7932 | 20.8063   | 67.11   |
+| 2.4008        | 2.0   | 1918 | 2.3569          | 25.1707 | 4.7622 | 22.9043 | 22.934    | 59.9    |
+| 2.059         | 3.0   | 2877 | 1.9763          | 23.6382 | 4.0133 | 21.9178 | 21.9638   | 57.94   |
+| 1.7741        | 4.0   | 3836 | 1.6896          | 25.0574 | 5.335  | 22.7412 | 22.7141   | 64.13   |
+| 1.542         | 5.0   | 4795 | 1.5623          | 26.7441 | 6.3706 | 23.6169 | 23.5887   | 65.71   |
 ### Framework versions