Thienpkae
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wav2vec2-vivos-asr

Automatic Speech Recognition

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Model card Files Files and versions Metrics Training metrics Community

Thienpkae commited on 8 days ago

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1 Parent(s): cd66144

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README.md +14 -14

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@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.20053544110147883
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the vivos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3151
-- Wer: 0.2005
 ## Model description
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
 - train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
@@ -68,16 +68,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 7.4472        | 2.0   | 146  | 4.1025          | 1.0    |
-| 3.4729        | 4.0   | 292  | 3.6046          | 1.0    |
-| 2.8216        | 6.0   | 438  | 1.4275          | 0.8461 |
-| 0.8343        | 8.0   | 584  | 0.5637          | 0.3727 |
-| 0.4258        | 10.0  | 730  | 0.4272          | 0.2877 |
-| 0.3012        | 12.0  | 876  | 0.3548          | 0.2370 |
-| 0.2445        | 14.0  | 1022 | 0.3371          | 0.2230 |
-| 0.2328        | 16.0  | 1168 | 0.3269          | 0.2119 |
-| 0.1831        | 18.0  | 1314 | 0.3204          | 0.2058 |
-| 0.1664        | 20.0  | 1460 | 0.3151          | 0.2005 |
 ### Framework versions

     metrics:
     - name: Wer
       type: wer
+      value: 0.4232335172051484
 ---
 <!-- 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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the vivos dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6926
+- Wer: 0.4232
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 0.0002
 - train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 6.3715        | 2.0   | 146  | 3.6727          | 1.0    |
+| 3.4482        | 4.0   | 292  | 3.5947          | 1.0    |
+| 3.4187        | 6.0   | 438  | 3.5349          | 1.0    |
+| 3.3922        | 8.0   | 584  | 3.4713          | 1.0    |
+| 3.349         | 10.0  | 730  | 3.3434          | 1.0    |
+| 2.1445        | 12.0  | 876  | 1.3684          | 0.7849 |
+| 1.0296        | 14.0  | 1022 | 0.9135          | 0.5588 |
+| 0.7796        | 16.0  | 1168 | 0.7838          | 0.4871 |
+| 0.609         | 18.0  | 1314 | 0.7060          | 0.4372 |
+| 0.5388        | 20.0  | 1460 | 0.6926          | 0.4232 |
 ### Framework versions