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README.md

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-license: apache-2.0
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+license: apache-2.0
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+ fine-tune the pre-trained OpenAI Whisper model for audio classification in PyTorch.
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+Audio classification is an important task that can be applied in various scenarios, such as speech dialogue detection, sentiment analysis, music genre recognition, environmental sound identification, etc.
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+OpenAI Whisper is an excellent model for audio classification that achieved state-of-the-art results on several benchmarks. It is based on the transformer architecture and uses self-attention to process audio inputs. OpenAI Whisper can recognize speech and audio from different languages, accents, and domains with high accuracy and robustness.
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+classify various sounds by fine-tuning the OpenAI Whisper model from Hugging Face in the PyTorch deep learning library. load the pre-trained model, prepare a custom audio dataset, train the model on the dataset, and evaluate the model performance.