xuliu15
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FT-Frisian-10m

Automatic Speech Recognition

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Model card Files Files and versions Metrics Training metrics Community

xuliu15 commited on May 31

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README.md +13 -13

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@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 64.63375512386384
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 6.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6644
-- Wer: 64.6338
 ## Model description
@@ -64,16 +64,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch   | Step | Validation Loss | Wer     |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 2.0563        | 6.6667  | 100  | 2.2740          | 83.8603 |
-| 0.9188        | 13.3333 | 200  | 1.7748          | 76.3393 |
-| 0.4133        | 20.0    | 300  | 1.6575          | 69.3138 |
-| 0.1672        | 26.6667 | 400  | 1.6334          | 67.2750 |
-| 0.0603        | 33.3333 | 500  | 1.6320          | 66.4160 |
-| 0.0245        | 40.0    | 600  | 1.6434          | 65.3573 |
-| 0.0138        | 46.6667 | 700  | 1.6523          | 64.7229 |
-| 0.0104        | 53.3333 | 800  | 1.6592          | 64.0634 |
-| 0.0089        | 60.0    | 900  | 1.6633          | 64.6551 |
-| 0.0083        | 66.6667 | 1000 | 1.6644          | 64.6338 |
 ### Framework versions

     metrics:
     - name: Wer
       type: wer
+      value: 64.62662626982713
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 6.1 dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.6643
+- Wer: 64.6266
 ## Model description
 | Training Loss | Epoch   | Step | Validation Loss | Wer     |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 2.0562        | 6.6667  | 100  | 2.2740          | 83.4860 |
+| 0.9187        | 13.3333 | 200  | 1.7749          | 76.7385 |
+| 0.4133        | 20.0    | 300  | 1.6576          | 69.3317 |
+| 0.1671        | 26.6667 | 400  | 1.6334          | 67.2679 |
+| 0.0603        | 33.3333 | 500  | 1.6319          | 66.2770 |
+| 0.0245        | 40.0    | 600  | 1.6433          | 65.6496 |
+| 0.0138        | 46.6667 | 700  | 1.6522          | 64.6730 |
+| 0.0104        | 53.3333 | 800  | 1.6591          | 64.5019 |
+| 0.0089        | 60.0    | 900  | 1.6632          | 64.4876 |
+| 0.0083        | 66.6667 | 1000 | 1.6643          | 64.6266 |
 ### Framework versions