Update README.md

README.md

@@ -25,30 +25,31 @@ model-index:
 
 # wav2vec2-conformer-rel-pos-large-finetuned-speech-commands
 
-This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large) on the speech_commands dataset.
-
-
-It has been trained for 10 epochs on the [speech_commands](https://huggingface.co/datasets/speech_commands) dataset:
-- subset v0.02
-- full training set
-- full validation set
+This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large) on the [speech_commands](https://huggingface.co/datasets/speech_commands) dataset.
 
 It achieves the following results on the evaluation set:
 - Loss: 0.5245
 - Accuracy: 0.9724
 
-## Model description
+### Model description
 
+TBD
 
-## Intended uses & limitations
+#### Intended uses & limitations
 
 The model can spot one of the following keywords: "Yes", "No", "Up", "Down", "Left", "Right", "On", "Off", "Stop", "Go", "Zero", "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", "Nine", "Bed", "Bird", "Cat", "Dog", "Happy", "House", "Marvin", "Sheila", "Tree", "Wow", "Backward", "Forward", "Follow", "Learn", "Visual".
 
-## Training and evaluation data
+### Training and evaluation data
+
+- subset v0.02
+- full training set
+- full validation set
+
+### Training procedure
 
-## Training procedure
+TBD
 
-### Training hyperparameters
+###Training hyperparameters
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05