update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.9866666666666667
+      value: 0.9833333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-xlsr-53-espeak-cv-ft-evn5-ntsema-colab
 
-This model is a fine-tuned version of [ntsema/wav2vec2-xlsr-53-espeak-cv-ft-evn2-ntsema-colab](https://huggingface.co/ntsema/wav2vec2-xlsr-53-espeak-cv-ft-evn2-ntsema-colab) on the audiofolder dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xlsr-53-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-xlsr-53-espeak-cv-ft) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3655
-- Wer: 0.9867
+- Loss: 1.9757
+- Wer: 0.9833
 
 ## Model description
 
@@ -51,7 +51,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
+- learning_rate: 0.0005
 - train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
@@ -67,10 +67,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.5162        | 6.15  | 400  | 1.8818          | 0.9933 |
-| 0.306         | 12.3  | 800  | 2.0989          | 0.99   |
-| 0.1926        | 18.46 | 1200 | 2.2109          | 0.99   |
-| 0.121         | 24.61 | 1600 | 2.3655          | 0.9867 |
+| 5.7869        | 11.11 | 400  | 1.5999          | 0.9967 |
+| 0.7026        | 22.22 | 800  | 1.9757          | 0.9833 |
 
 
 ### Framework versions