jialicheng / whisper-base-speech_commands

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 1
30-day runs: -3
Model's Last Updated: May 20 2024
audio-classification

Introduction of whisper-base-speech_commands

Model Details of whisper-base-speech_commands

superb_ks_42

This model is a fine-tuned version of openai/whisper-base on the superb dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1152
  • Accuracy: 0.9834
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.6909 1.0 1597 0.1572 0.9651
0.0891 2.0 3194 0.1597 0.9660
0.0676 3.0 4791 0.1304 0.9719
0.0475 4.0 6388 0.0999 0.9796
0.0433 5.0 7985 0.1079 0.9798
0.0284 6.0 9582 0.1089 0.9803
0.0236 7.0 11179 0.1162 0.9819
0.0193 8.0 12776 0.1152 0.9834
0.0111 9.0 14373 0.1272 0.9821
0.0088 10.0 15970 0.1306 0.9826
Framework versions
  • Transformers 4.40.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Runs of jialicheng whisper-base-speech_commands on huggingface.co

5
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
-3
30-day runs

More Information About whisper-base-speech_commands huggingface.co Model

More whisper-base-speech_commands license Visit here:

https://choosealicense.com/licenses/apache-2.0

whisper-base-speech_commands huggingface.co

whisper-base-speech_commands huggingface.co is an AI model on huggingface.co that provides whisper-base-speech_commands's model effect (), which can be used instantly with this jialicheng whisper-base-speech_commands model. huggingface.co supports a free trial of the whisper-base-speech_commands model, and also provides paid use of the whisper-base-speech_commands. Support call whisper-base-speech_commands model through api, including Node.js, Python, http.

whisper-base-speech_commands huggingface.co Url

https://huggingface.co/jialicheng/whisper-base-speech_commands

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jialicheng whisper-base-speech_commands online free url in huggingface.co:

https://huggingface.co/jialicheng/whisper-base-speech_commands

whisper-base-speech_commands install

whisper-base-speech_commands is an open source model from GitHub that offers a free installation service, and any user can find whisper-base-speech_commands on GitHub to install. At the same time, huggingface.co provides the effect of whisper-base-speech_commands install, users can directly use whisper-base-speech_commands installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

whisper-base-speech_commands install url in huggingface.co:

https://huggingface.co/jialicheng/whisper-base-speech_commands

Url of whisper-base-speech_commands

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jialicheng
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