[Whisper] Update requirements x2 (#1488)

Author: sanchit-gandhi

fine-tune-whisper.md

@@ -136,15 +136,16 @@ strong performance in this language.
 ### Prepare Environment
 
 We'll employ several popular Python packages to fine-tune the Whisper model.
-We'll use `datasets` to download and prepare our training data and 
-`transformers` to load and train our Whisper model. We'll also require
-the `soundfile` package to pre-process audio files, `evaluate` and `jiwer` to
-assess the performance of our model. Finally, we'll
-use `gradio` to build a flashy demo of our fine-tuned model.
+We'll use `datasets` to download and prepare our training data, alongside 
+`transformers` and `accelerate` to load and train our Whisper model. 
+We'll also require the `soundfile` package to pre-process audio files, 
+`evaluate` and `jiwer` to assess the performance of our model, and 
+`tensorboard` to log our metrics. Finally, we'll use `gradio` to build a 
+flashy demo of our fine-tuned model.
 
 ```bash
 !pip install --upgrade pip
-!pip install --upgrade datasets transformers soundfile librosa evaluate jiwer gradio
+!pip install --upgrade datasets transformers accelerate soundfile librosa evaluate jiwer tensorboard gradio
 ```
 
 We strongly advise you to upload model checkpoints directly the [Hugging Face Hub](https://huggingface.co/)