wav2vec2-base-finetuned-ccm-falsetto

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

• eval_loss: 0.6030
• eval_accuracy: 0.6965
• eval_runtime: 33.096
• eval_samples_per_second: 7.765
• eval_steps_per_second: 0.997
• epoch: 10.0
• step: 960

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
• optimizer: Use OptimizerNames.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_steps: 100
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 5.3.0.dev0
• Pytorch 2.8.0
• Datasets 4.4.1
• Tokenizers 0.22.2