pratt3000
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wav2vec2-base-finetuned-ks

Audio Classification

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pratt3000 commited on Mar 11, 2022

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update model card README.md

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@@ -15,8 +15,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0123
-- Accuracy: 0.9984
 ## Model description
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0779        | 1.0   | 80   | 0.1391          | 0.9641   |
-| 0.0244        | 2.0   | 160  | 0.0304          | 0.9953   |
-| 0.0045        | 3.0   | 240  | 0.0290          | 0.9938   |
-| 0.0057        | 4.0   | 320  | 0.0204          | 0.9953   |
-| 0.0025        | 5.0   | 400  | 0.0123          | 0.9984   |
 ### Framework versions

 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0029
+- Accuracy: 0.9997
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0037        | 1.0   | 400  | 0.0054          | 0.9991   |
+| 0.0007        | 2.0   | 800  | 0.0029          | 0.9997   |
+| 0.0004        | 3.0   | 1200 | 0.0028          | 0.9997   |
+| 0.0003        | 4.0   | 1600 | 0.0029          | 0.9997   |
+| 0.0003        | 5.0   | 2000 | 0.0028          | 0.9997   |
 ### Framework versions