gokulsrinivasagan / whisper-small-diff-wo-continuous-ls-diff-enc-speech-commands-v1

huggingface.co
Total runs: 25
24-hour runs: 0
7-day runs: 7
30-day runs: 22
Model's Last Updated: March 03 2026
audio-classification

Introduction of whisper-small-diff-wo-continuous-ls-diff-enc-speech-commands-v1

Model Details of whisper-small-diff-wo-continuous-ls-diff-enc-speech-commands-v1

whisper-small-diff-wo-continuous-ls-diff-enc-speech-commands-v1

This model was trained from scratch on the speech_commands dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4563
  • Accuracy: 0.8004
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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.1436 1.0 1236 1.3164 0.7896
0.1585 2.0 2472 1.2858 0.7990
0.109 3.0 3708 1.3847 0.7986
0.0708 4.0 4944 1.3932 0.7990
0.0481 5.0 6180 1.4563 0.8004
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.8.0+cu128
  • Datasets 3.5.0
  • Tokenizers 0.22.1

Runs of gokulsrinivasagan whisper-small-diff-wo-continuous-ls-diff-enc-speech-commands-v1 on huggingface.co

25
Total runs
0
24-hour runs
5
3-day runs
7
7-day runs
22
30-day runs

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