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

• eval_loss: 0.5422
• eval_accuracy: 0.8916
• eval_f1: 0.8835
• eval_runtime: 7.8567
• eval_samples_per_second: 392.147
• eval_steps_per_second: 1.655
• epoch: 4.0423
• step: 861

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: 3e-05
• train_batch_size: 240
• eval_batch_size: 240
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0