End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.8446084460844608
+      value: 0.9131147540983606
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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_11_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2483
-- Wer: 0.8446
+- Loss: 1.5724
+- Wer: 0.9131
 
 ## Model description
 
@@ -68,12 +68,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| 6.1762        | 9.8765 | 400  | 1.2483          | 0.8446 |
+| 6.4474        | 9.8765 | 400  | 1.5724          | 0.9131 |
 
 
 ### Framework versions
 
-- Transformers 4.40.1
+- Transformers 4.40.2
 - Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Datasets 2.19.1
 - Tokenizers 0.19.1