End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MIT/ast-finetuned-speech-commands-v2](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0125
-- Accuracy: 1.0
+- Loss: 0.0556
+- Accuracy: 0.9972
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.92  | 6    | 1.6532          | 0.2614   |
-| 5.287         | 2.0   | 13   | 0.0125          | 1.0      |
-| 5.287         | 2.92  | 19   | 0.0006          | 1.0      |
-| 0.0232        | 4.0   | 26   | 0.0003          | 1.0      |
-| 0.0005        | 4.62  | 30   | 0.0003          | 1.0      |
+| No log        | 0.92  | 3    | 6.0408          | 0.0028   |
+| No log        | 1.85  | 6    | 1.3851          | 0.4432   |
+| No log        | 2.77  | 9    | 0.2547          | 0.9574   |
+| 4.7927        | 4.0   | 13   | 0.0701          | 0.9915   |
+| 4.7927        | 4.62  | 15   | 0.0556          | 0.9972   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6e88487c81345a9f2dda43f5a84386f1c102e7d31a338d00ce3dd8e7f735fb3c
 size 341610652