End of training

README.md

@@ -4,7 +4,7 @@ base_model: ntu-spml/distilhubert
 tags:
 - generated_from_trainer
 datasets:
-- gtzan
+- marsyas/gtzan
 metrics:
 - accuracy
 model-index:
@@ -14,8 +14,8 @@ model-index:
       name: Audio Classification
       type: audio-classification
     dataset:
-      name: gtzan
-      type: gtzan
+      name: GTZAN
+      type: marsyas/gtzan
       config: all
       split: train
       args: all
@@ -30,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilhubert-finetuned-gtzan
 
-This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the gtzan dataset.
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5801
 - Accuracy: 0.85