update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.5679738291440639
+      value: 0.8740320510166052
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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 common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8352
-- Wer: 0.5680
+- Loss: 1.6224
+- Wer: 0.8740
 
 ## Model description
 
@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2783        | 2.86  | 400  | 0.8352          | 0.5680 |
+| 5.7147        | 2.86  | 400  | 1.6224          | 0.8740 |
 
 
 ### Framework versions
 
 - Transformers 4.30.0
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.1
+- Pytorch 2.1.2
+- Datasets 2.18.0
 - Tokenizers 0.13.3