End of training

README.md

@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 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:
-- eval_loss: 0.4009
-- eval_accuracy: 0.88
-- eval_runtime: 50.7773
-- eval_samples_per_second: 1.969
-- eval_steps_per_second: 0.138
-- epoch: 4.0
-- step: 448
+- eval_loss: 0.3844
+- eval_model_preparation_time: 0.0023
+- eval_accuracy: 0.89
+- eval_runtime: 108.8351
+- eval_samples_per_second: 0.919
+- eval_steps_per_second: 0.064
+- step: 0
 
 ## Model description
 

model.safetensors

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 size 94771728