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speecht5_finetuned_metalsongs

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4426

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: 4
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss
0.5213 34.78 100 0.5506
0.436 69.57 200 0.4810
0.4004 104.35 300 0.4776
0.3816 139.13 400 0.4639
0.3644 173.91 500 0.4536
0.3583 208.7 600 0.4539
0.3515 243.48 700 0.4476
0.3534 278.26 800 0.4489
0.3471 313.04 900 0.4466
0.3463 347.83 1000 0.4426

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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