Update README.md

README.md

@@ -16,7 +16,7 @@ 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. All necessary scripts used for training could be found in the [Files and versions](https://huggingface.co/w11wo/wav2vec2-adult-child-cls-v3/tree/main) tab, as well as the [Training metrics](https://huggingface.co/w11wo/wav2vec2-adult-child-cls-v3/tensorboard) 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](https://huggingface.co/w11wo/wav2vec2-adult-child-cls-v3/tensorboard) were logged via Tensorboard.
 
 ## Model