jialicheng / wav2vec2-large-speech_commands

huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: May 20 2024
audio-classification

Introduction of wav2vec2-large-speech_commands

Model Details of wav2vec2-large-speech_commands

superb_ks_42

This model is a fine-tuned version of facebook/wav2vec2-large on the superb dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0856
  • Accuracy: 0.9840
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
1.0646 1.0 1597 0.1839 0.9625
0.3751 2.0 3194 0.1954 0.9647
0.3156 3.0 4791 0.1335 0.9744
0.257 4.0 6388 0.1062 0.9796
0.2386 5.0 7985 0.1029 0.9801
0.2085 6.0 9582 0.1002 0.9815
0.1715 7.0 11179 0.1031 0.9818
0.1575 8.0 12776 0.0938 0.9819
0.1332 9.0 14373 0.0896 0.9831
0.1288 10.0 15970 0.0856 0.9840
Framework versions
  • Transformers 4.40.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Runs of jialicheng wav2vec2-large-speech_commands on huggingface.co

13
Total runs
0
24-hour runs
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3-day runs
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7-day runs
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More Information About wav2vec2-large-speech_commands huggingface.co Model

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wav2vec2-large-speech_commands huggingface.co

wav2vec2-large-speech_commands huggingface.co is an AI model on huggingface.co that provides wav2vec2-large-speech_commands's model effect (), which can be used instantly with this jialicheng wav2vec2-large-speech_commands model. huggingface.co supports a free trial of the wav2vec2-large-speech_commands model, and also provides paid use of the wav2vec2-large-speech_commands. Support call wav2vec2-large-speech_commands model through api, including Node.js, Python, http.

wav2vec2-large-speech_commands huggingface.co Url

https://huggingface.co/jialicheng/wav2vec2-large-speech_commands

jialicheng wav2vec2-large-speech_commands online free

wav2vec2-large-speech_commands huggingface.co is an online trial and call api platform, which integrates wav2vec2-large-speech_commands's modeling effects, including api services, and provides a free online trial of wav2vec2-large-speech_commands, you can try wav2vec2-large-speech_commands online for free by clicking the link below.

jialicheng wav2vec2-large-speech_commands online free url in huggingface.co:

https://huggingface.co/jialicheng/wav2vec2-large-speech_commands

wav2vec2-large-speech_commands install

wav2vec2-large-speech_commands is an open source model from GitHub that offers a free installation service, and any user can find wav2vec2-large-speech_commands on GitHub to install. At the same time, huggingface.co provides the effect of wav2vec2-large-speech_commands install, users can directly use wav2vec2-large-speech_commands installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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