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metadata
tags:
  - generated_from_trainer
datasets:
  - mazkooleg/0-9up_google_speech_commands_augmented_raw
metrics:
  - accuracy
base_model: microsoft/wavlm-base-plus
model-index:
  - name: wavlm-base-plus-ft
    results: []

wavlm-base-plus-ft

This model is a fine-tuned version of microsoft/wavlm-base-plus on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0093
  • Accuracy: 0.9973

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5

Training results

Training Loss Epoch Step Accuracy Validation Loss
0.087 1.0 8558 0.9947 0.0216
0.0439 2.0 17117 0.9964 0.0117
0.0626 3.0 25675 0.9973 0.0093
0.0396 4.0 34232 0.9964 0.0097
0.0417 5.0 42790 0.9964 0.0123

Framework versions

  • Transformers 4.27.3
  • Pytorch 1.11.0
  • Datasets 2.10.1
  • Tokenizers 0.12.1