Update README.md

README.md

@@ -8,7 +8,7 @@ metrics:
   - accuracy
   - f1
 model-index:
-  - name: wav2vec2-adult-child-cls-v3
+  - name: wav2vec2-adult-child-cls
     results: []
 ---
 
@@ -16,13 +16,13 @@ model-index:
 
 Wav2Vec2 Adult/Child Speech Classifier is an audio classification model based on the [wav2vec 2.0](https://arxiv.org/abs/2006.11477) architecture. This model is a fine-tuned version of [wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on a private adult/child speech classification dataset.
 
-This model was trained using HuggingFace's PyTorch framework. All training was done on a Tesla P100, provided by Kaggle. [Training metrics](https://huggingface.co/w11wo/wav2vec2-adult-child-cls-v3/tensorboard) were logged via Tensorboard.
+This model was trained using HuggingFace's PyTorch framework. All training was done on a Tesla P100, provided by Kaggle. Training metrics were logged via Tensorboard.
 
 ## Model
 
-| Model                         | #params | Arch.       | Training/Validation data (text)           |
-| ----------------------------- | ------- | ----------- | ----------------------------------------- |
-| `wav2vec2-adult-child-cls-v3` | 91M     | wav2vec 2.0 | Adult/Child Speech Classification Dataset |
+| Model                      | #params | Arch.       | Training/Validation data (text)           |
+| -------------------------- | ------- | ----------- | ----------------------------------------- |
+| `wav2vec2-adult-child-cls` | 91M     | wav2vec 2.0 | Adult/Child Speech Classification Dataset |
 
 ## Evaluation Results