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+++ b/README.md
@@ -11,9 +11,13 @@ model_index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# wav2vec2-lg-xlsr-en-speech-emotion-recognition
+# Speech Emotion Recognition By Fine-Tuning Wav2Vec 2.0
 
-This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) for a Speech Emotion Recognition (SER) task.
+
+__Important:__ This model it's not yet implementable due to missing built-in functions in HuggingFace for speech classification tasks. I'm working on the instructions of how to use it and a repository where the code will be available soon. Thank you anyway!
+
+
+The model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) for a Speech Emotion Recognition (SER) task.
 
 The dataset used to fine-tune the original pre-trained model is the [RAVDESS dataset](https://zenodo.org/record/1188976#.YO6yI-gzaUk). This dataset provides 1440 samples of recordings from actors performing on 8 different emotions in English, which are:
 
@@ -72,6 +76,10 @@ The following hyperparameters were used during training:
 | 0.4581        | 2.72  | 390  | 0.4719          | 0.8467   |
 | 0.3967        | 2.93  | 420  | 0.5023          | 0.8223   |
 
+## Contact
+
+Any doubt, contact me on [Twitter](https://twitter.com/ehcalabres) (GitHub repo soon).
+
 
 ### Framework versions