nacielo
/

hubert2BertMusicwithNewS10

Automatic Speech Recognition

speech-encoder-decoder

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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@@ -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: 3.2160
-- Rouge1: 42.8922
-- Rouge2: 18.1648
-- Rougel: 31.4608
-- Rougelsum: 31.5158
-- Gen Len: 34.85
 ## Model description
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 6.1385        | 1.0   | 983  | 4.0434          | 38.4997 | 16.5601 | 29.1856 | 29.2127   | 31.68   |
-| 4.1           | 2.0   | 1966 | 3.5097          | 39.2103 | 16.7498 | 29.1148 | 29.134    | 39.22   |
-| 3.7563        | 3.0   | 2949 | 3.3522          | 42.9697 | 19.2813 | 31.4367 | 31.4758   | 35.23   |
-| 3.5876        | 4.0   | 3932 | 3.2553          | 40.8717 | 18.1758 | 29.7187 | 29.7345   | 28.66   |
-| 3.5273        | 5.0   | 4915 | 3.2160          | 42.8922 | 18.1648 | 31.4608 | 31.5158   | 34.85   |
 ### 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: 4.5551
+- Rouge1: 26.6611
+- Rouge2: 5.852
+- Rougel: 20.3973
+- Rougelsum: 20.4079
+- Gen Len: 56.63
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 5.298         | 1.0   | 959  | 5.1337          | 27.155  | 5.4713 | 20.6012 | 20.5867   | 61.39   |
+| 4.6449        | 2.0   | 1918 | 4.8458          | 27.9626 | 6.2825 | 21.4129 | 21.4275   | 55.85   |
+| 4.4099        | 3.0   | 2877 | 4.6840          | 26.9532 | 5.7634 | 20.6746 | 20.6841   | 57.92   |
+| 4.2794        | 4.0   | 3836 | 4.5906          | 26.7541 | 5.9512 | 20.5233 | 20.5886   | 55.42   |
+| 4.1952        | 5.0   | 4795 | 4.5551          | 26.6611 | 5.852  | 20.3973 | 20.4079   | 56.63   |
 ### Framework versions