nacielo
/

wav2GPT2MusiNewStricD3E5

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: 2.2775
-- Rouge1: 37.5957
-- Rouge2: 10.8859
-- Rougel: 29.7559
-- Rougelsum: 29.7904
-- Gen Len: 33.19
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 3.1175        | 1.0   | 983  | 2.5054          | 36.6389 | 9.7932  | 28.7186 | 28.771    | 30.04   |
-| 2.6547        | 2.0   | 1966 | 2.3880          | 36.5342 | 10.597  | 29.092  | 29.0762   | 28.1    |
-| 2.5787        | 3.0   | 2949 | 2.3239          | 37.5926 | 10.5376 | 29.0149 | 29.0558   | 34.72   |
-| 2.5014        | 4.0   | 3932 | 2.2907          | 36.1982 | 9.8055  | 29.3162 | 29.3555   | 33.97   |
-| 2.4805        | 5.0   | 4915 | 2.2775          | 37.5957 | 10.8859 | 29.7559 | 29.7904   | 33.19   |
 ### 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: 2.5120
+- Rouge1: 20.9558
+- Rouge2: 3.2839
+- Rougel: 19.7122
+- Rougelsum: 19.6901
+- Gen Len: 67.79
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.7207        | 1.0   | 959  | 2.7234          | 20.368  | 2.6174 | 18.7438 | 18.7592   | 63.11   |
+| 2.4751        | 2.0   | 1918 | 2.6164          | 20.9097 | 3.3813 | 19.3157 | 19.386    | 66.29   |
+| 2.3977        | 3.0   | 2877 | 2.5586          | 21.178  | 3.5221 | 19.9418 | 19.9061   | 67.82   |
+| 2.3305        | 4.0   | 3836 | 2.5236          | 21.4817 | 3.5503 | 20.3017 | 20.2749   | 67.58   |
+| 2.3079        | 5.0   | 4795 | 2.5120          | 20.9558 | 3.2839 | 19.7122 | 19.6901   | 67.79   |
 ### Framework versions