jialicheng / hubert-large-speech_commands

huggingface.co
Total runs: 14
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: May 20 2024
audio-classification

Introduction of hubert-large-speech_commands

Model Details of hubert-large-speech_commands

superb_ks_42

This model is a fine-tuned version of facebook/hubert-large-ll60k on the superb dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0464
  • Accuracy: 0.9887
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
1.6086 1.0 1597 0.0966 0.9826
0.2065 2.0 3194 0.0611 0.9862
0.1822 3.0 4791 0.0541 0.9879
0.1529 4.0 6388 0.0540 0.9869
0.1392 5.0 7985 0.0534 0.9865
0.1307 6.0 9582 0.0464 0.9887
0.1171 7.0 11179 0.0498 0.9873
0.1144 8.0 12776 0.0471 0.9884
0.1104 9.0 14373 0.0455 0.9879
0.1079 10.0 15970 0.0464 0.9885
Framework versions
  • Transformers 4.40.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

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

14
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
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30-day runs

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