SpeechT5_finetuned_kha

This model is a fine-tuned version of microsoft/speecht5_vc on the audiofolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.4733

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: 32
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 300
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.43.3
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.19.1