Training complete

README.md

@@ -4,7 +4,7 @@ base_model: jonatasgrosman/wav2vec2-large-xlsr-53-english
 tags:
 - generated_from_trainer
 datasets:
-- ravdess
+- narad/ravdess
 metrics:
 - accuracy
 - precision
@@ -17,8 +17,8 @@ model-index:
       name: Audio Classification
       type: audio-classification
     dataset:
-      name: ravdess
-      type: ravdess
+      name: RAVDESS
+      type: narad/ravdess
       config: all
       split: train
       args: all
@@ -42,7 +42,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xlsr-53-english-finetuned-ravdess
 
-This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the ravdess dataset.
+This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the RAVDESS dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5624
 - Accuracy: 0.8299