Update README.md

README.md

@@ -14,14 +14,21 @@ metrics:
 pipeline_tag: automatic-speech-recognition
 ---
 
-**This is a light CTC-based Automatic Speech Recognition system for French.**
+**This is a small CTC-based Automatic Speech Recognition system for French.**
 This model is part of the SLU demo available here: [LINK TO THE DEMO GOES HERE]
 
 This is a [mHuBERT-147](https://huggingface.co/utter-project/mHuBERT-147) ASR fine-tuned model.
 
 * Training data: 123 hours (84,707 utterances)
 * Normalization: Whisper normalization
-* Performance:
+
+# Table of Contents:
+1. [Performance](https://huggingface.co/naver/mHuBERT-147-ASR-fr#performance)
+2. [Training Parameters](https://huggingface.co/naver/mHuBERT-147-ASR-fr#training-parameters)
+3. [ASR Model class](https://huggingface.co/naver/mHuBERT-147-ASR-fr#asr-model-class)
+4. [Running inference](https://huggingface.co/naver/mHuBERT-147-ASR-fr#running-inference)
+
+## Performance
 
 |                    | **dev WER** | **dev CER** | **test WER** | **test CER** |
 |:------------------:|:-----------:|:-----------:|:------------:|:------------:|
@@ -29,11 +36,6 @@ This is a [mHuBERT-147](https://huggingface.co/utter-project/mHuBERT-147) ASR fi
 |    **fleurs102**   |     20.0    |     7.0     |     22.0     |      7.7     |
 | **CommonVoice 17** |     16.0    |     4.9     |     19.0     |      6.5     |
 
-# Table of Contents:
-1. [Training Parameters](https://huggingface.co/naver/mHuBERT-147-ASR-fr#training-parameters)
-2. [ASR Model class](https://huggingface.co/naver/mHuBERT-147-ASR-fr#asr-model-class)
-3. [Running inference](https://huggingface.co/naver/mHuBERT-147-ASR-fr#running-inference)
-
 ## Training Parameters
 The training parameters are available in [config.yaml](https://huggingface.co/naver/mHuBERT-147-ASR-fr/blob/main/config.yaml).
 We highlight the use of 0.3 for hubert.final_dropout, which we found to be very helpful in convergence. We also use fp32 training, as we found fp16 training to be unstable.