End of training

README.md

@@ -5,18 +5,18 @@ base_model: MIT/ast-finetuned-audioset-10-10-0.4593
 tags:
 - generated_from_trainer
 datasets:
-- gtzan
+- marsyas/gtzan
 metrics:
 - accuracy
 model-index:
-- name: gtzan-ast-classifier
+- name: MIT/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
   results:
   - task:
       name: Audio Classification
       type: audio-classification
     dataset:
-      name: gtzan
-      type: gtzan
+      name: GTZAN
+      type: marsyas/gtzan
       config: default
       split: train
       args: default
@@ -29,9 +29,9 @@ 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. -->
 
-# gtzan-ast-classifier
+# MIT/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
 
-This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the gtzan dataset.
+This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2989
 - Accuracy: 0.92