update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.42745782431646306
+      value: 0.4193523366298235
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
 - Loss: inf
-- Wer: 0.4275
+- Wer: 0.4194
 
 ## Model description
 
@@ -67,12 +67,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.0615        | 3.09  | 400  | inf             | 0.9448 |
-| 0.8996        | 6.18  | 800  | inf             | 0.5206 |
-| 0.4001        | 9.27  | 1200 | inf             | 0.4890 |
-| 0.2377        | 12.36 | 1600 | inf             | 0.4609 |
-| 0.1599        | 15.44 | 2000 | inf             | 0.4407 |
-| 0.1156        | 18.53 | 2400 | inf             | 0.4275 |
+| 6.1372        | 3.09  | 400  | inf             | 0.8798 |
+| 0.8691        | 6.18  | 800  | inf             | 0.5099 |
+| 0.4049        | 9.27  | 1200 | inf             | 0.4904 |
+| 0.2474        | 12.36 | 1600 | inf             | 0.4523 |
+| 0.1633        | 15.44 | 2000 | inf             | 0.4285 |
+| 0.1164        | 18.53 | 2400 | inf             | 0.4194 |
 
 
 ### Framework versions