Update README.md

README.md

@@ -36,13 +36,14 @@ model-index:
 
 Fine-tuned [facebook/wav2vec2-base-fr-voxpopuli-v2](https://huggingface.co/facebook/wav2vec2-base-fr-voxpopuli-v2) for **French speech-to-phoneme** using the train and validation splits of [Common Voice v13](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0).
 
-## Samplerate of audio 
+## Audio samplerate for usage 
 
 When using this model, make sure that your speech input is **sampled at 16kHz**.
 
-## Training procedure details
+## Training procedure
+
+The model has been finetuned on Coommonvoice-v13 (FR) for 14 epochs on 4x2080 Ti GPUs using a ddp strategy and gradient-accumulation procedure (256 audios per update, corresponding roughly to 25 minutes of speech per update -> 2k updates per epoch)
 
-- The model has been trained for 14 epochs on 4x2080 Ti GPUs using a ddp strategy and gradient-accumulation procedure (256 audios per update, corresponding roughly to 25 minutes of speech per update -> 2k updates per epoch)
 - Learning rate schedule : Double Tri-state schedule
     - Warmup from 1e-5 for 7% of total updates
     - Constant at 1e-4 for 28% of total updates
@@ -51,5 +52,5 @@ When using this model, make sure that your speech input is **sampled at 16kHz**.
     - Constant at 3e-5 for 12% of total updates
     - Linear decrease to 1e-7 for remaining 14% of updates
  
-- The set of hyperparameters used for training are those detailed in Annex B and Table 6 of [wav2vec2 paper](https://arxiv.org/pdf/2006.11477.pdf).
+- The set of hyperparameters used for training are the same as those detailed in Annex B and Table 6 of [wav2vec2 paper](https://arxiv.org/pdf/2006.11477.pdf).