FarhadMadadzade
/

wav2vec2-large-xlsr-53-english-ser-cosine

Automatic Speech Recognition

Generated from Trainer

speech-emotion-recognition

audio-classification

Inference Endpoints

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FarhadMadadzade commited on Mar 31

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@@ -25,7 +25,12 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-xlsr-53-english-ser-cosine
-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.
 It achieves the following results on the evaluation set:
 - Loss: 0.4677
 - Accuracy: 0.8677

 # wav2vec2-large-xlsr-53-english-ser-cosine
+This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on a total dataset consisting of the following datasets:
+- RAVDESS
+- TESS
+- SAVEE
+- CREMA-D
+-
 It achieves the following results on the evaluation set:
 - Loss: 0.4677
 - Accuracy: 0.8677