wuula's picture
update model card README.md
2555e50
|
raw
history blame
1.63 kB
metadata
language:
  - zh
license: mit
tags:
  - speecht5_tts_common_voice_zh
  - generated_from_trainer
datasets:
  - speecht5_tts_common_voice_zh
model-index:
  - name: SpeechT5 TTS Dutch
    results: []

SpeechT5 TTS Dutch

This model is a fine-tuned version of microsoft/speecht5_tts on the speecht5_tts_common_voice_zh dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6217

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

Training results

Training Loss Epoch Step Validation Loss
0.6909 4.49 1000 0.6541
0.6671 8.99 2000 0.6351
0.653 13.48 3000 0.6249
0.6565 17.98 4000 0.6217

Framework versions

  • Transformers 4.30.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3