Update README.md

README.md

@@ -61,7 +61,7 @@ torchaudio.save("source2hat.wav", est_sources[:, :, 1].detach().cpu(), 8000)
 To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling the `from_hparams` method.
 
 ### Training
-The model was trained with SpeechBrain (d0accc8).
+The model was trained with SpeechBrain (fc2eabb7).
 To train it from scratch follows these steps:
 1. Clone SpeechBrain:
 ```bash
@@ -78,10 +78,9 @@ pip install -e .
 ```
 cd  recipes/WSJ0Mix/separation
 python train.py hparams/sepformer.yaml --data_folder=your_data_folder
+```
 
-https://drive.google.com/drive/folders/1fcVP52gHgoMX9diNN1JxX_My5KaRNZWs?usp=sharing
-
-You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/1suvbKScf3VbkxRjZlpi1Q4hKU9yTdBVM?usp=sharing)
+You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/1cON-eqtKv_NYnJhaE9VjLT_e2ybn-O7u?usp=sharing)
 
 ### Limitations
 The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.
@@ -95,7 +94,7 @@ The SpeechBrain team does not provide any warranty on the performance achieved b
     year = {2021},
     publisher = {GitHub},
     journal = {GitHub repository},
-    howpublished = {\\url{https://github.com/speechbrain/speechbrain}},
+    howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
   }
 ```