gary109
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wav2vec2-base-mirst500-ac

Audio Classification

Generated from Trainer

Inference Endpoints

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gary109 commited on Apr 13, 2022

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update model card README.md

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 ---
 license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
 - mir_st500
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-base-mirst500-ac
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the mir_st500 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7566
 - Accuracy: 0.7570

 ---
 license: apache-2.0
 tags:
+- audio-classification
 - generated_from_trainer
 datasets:
 - mir_st500
 # wav2vec2-base-mirst500-ac
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the /workspace/datasets/datasets/MIR_ST500/MIR_ST500.py dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7566
 - Accuracy: 0.7570