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speecht5_tts_SK

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tts
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metadata
language:
  - sk
license: mit
base_model: microsoft/speecht5_tts
tags:
  - tts
  - generated_from_trainer
datasets:
  - NabuCasa/voice-datasets
model-index:
  - name: SpeechT5 TTS SK
    results: []

SpeechT5 TTS SK

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

  • Loss: 0.6136

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: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.7659 30.77 1000 0.6932
0.6957 61.54 2000 0.6436
0.6752 92.31 3000 0.6245
0.6466 123.08 4000 0.6136

Framework versions

  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0