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speecht5_sw_normal

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metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - arrow
model-index:
  - name: speecht5_sw_normal
    results: []

speecht5_sw_normal

This model is a fine-tuned version of microsoft/speecht5_tts on the arrow dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5708

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: 16
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH 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: 500
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.7131 2.003 500 0.6449
0.6108 4.006 1000 0.6056
0.6025 6.009 1500 0.5798
0.6159 8.012 2000 0.5708

Framework versions

  • Transformers 4.50.2
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1