Update README.md

README.md

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 # Wav2Vec2_Fine_tuned_on_CremaD_Speech_Emotion_Recognition
 
-This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on an unknown dataset.
+This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) 
+The dataset used to fine-tune the original pre-trained model is the [CremaD dataset](https://github.com/CheyneyComputerScience/CREMA-D). This dataset provides 7442 samples of recordings from actors performing on 6 different emotions in English, which are:
+
+```python
+emotions = ['angry', 'disgust', 'fearful', 'happy', 'neutral', 'sad']
+```
 It achieves the following results on the evaluation set:
 - Loss: 0.6258
 - Accuracy: 0.7890