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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0066
-- Accuracy: 0.6487
+- Loss: 0.9461
+- Accuracy: 0.6857
 
 ## Model description
 
@@ -51,26 +51,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1544        | 1.0   | 102  | 1.1369          | 0.5063   |
-| 1.0574        | 2.0   | 204  | 1.0677          | 0.5121   |
-| 0.8303        | 3.0   | 306  | 0.9213          | 0.6091   |
-| 0.7753        | 4.0   | 408  | 1.0430          | 0.5926   |
-| 0.6142        | 5.0   | 510  | 1.1218          | 0.6033   |
-| 0.5152        | 6.0   | 612  | 1.1629          | 0.6188   |
-| 0.51          | 7.0   | 714  | 0.9371          | 0.6838   |
-| 0.2368        | 8.0   | 816  | 1.2314          | 0.6343   |
-| 0.2315        | 9.0   | 918  | 1.3838          | 0.6285   |
-| 0.2324        | 10.0  | 1020 | 1.3675          | 0.6489   |
-| 0.1919        | 11.0  | 1122 | 1.5164          | 0.6372   |
-| 0.0962        | 12.0  | 1224 | 1.5281          | 0.6440   |
-| 0.0851        | 13.0  | 1326 | 1.5718          | 0.6479   |
-| 0.0358        | 14.0  | 1428 | 1.6729          | 0.6508   |
-| 0.0754        | 15.0  | 1530 | 1.6681          | 0.6528   |
+| 1.1913        | 1.0   | 102  | 1.1911          | 0.4374   |
+| 1.0238        | 2.0   | 204  | 1.0045          | 0.5529   |
+| 0.809         | 3.0   | 306  | 0.9396          | 0.6188   |
+| 0.7097        | 4.0   | 408  | 1.2146          | 0.5558   |
+| 0.6082        | 5.0   | 510  | 1.2860          | 0.5752   |
+| 0.4099        | 6.0   | 612  | 1.3618          | 0.5771   |
+| 0.3927        | 7.0   | 714  | 1.1155          | 0.6508   |
+| 0.2013        | 8.0   | 816  | 1.3554          | 0.6266   |
+| 0.2208        | 9.0   | 918  | 1.7306          | 0.5674   |
+| 0.1967        | 10.0  | 1020 | 1.6680          | 0.6004   |
+| 0.1563        | 11.0  | 1122 | 1.6125          | 0.6402   |
+| 0.0777        | 12.0  | 1224 | 1.7766          | 0.6305   |
+| 0.0486        | 13.0  | 1326 | 1.8744          | 0.6324   |
+| 0.0594        | 14.0  | 1428 | 1.9529          | 0.6246   |
+| 0.0363        | 15.0  | 1530 | 1.8843          | 0.6334   |
 
 
 ### Framework versions
 
-- Transformers 4.26.1
-- Pytorch 1.13.1+cu116
-- Datasets 2.10.1
-- Tokenizers 0.13.2
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3