update model card README.md

README.md

@@ -16,8 +16,8 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0268
-- Accuracy: 0.9958
+- Loss: 0.0210
+- Accuracy: 0.9979
 
 ## Model description
 
@@ -55,12 +55,12 @@ The following hyperparameters were used during training:
 | 0.0217        | 2.0   | 17116 | 0.9979   | 0.0210          |
 | 0.018         | 3.0   | 25674 | 0.9979   | 0.0144          |
 | 0.0215        | 4.0   | 34232 | 0.9976   | 0.0129          |
-| 0.0407        | 5.0   | 42790 | 0.0126   | 0.9976          |
+| 0.0407        | 5.0   | 42790 | 0.9976   | 0.0126          |
 
 
 ### Framework versions
 
 - Transformers 4.26.1
-- Pytorch 1.11.0
+- Pytorch 1.11.0+cpu
 - Datasets 2.10.0
 - Tokenizers 0.12.1