speecht5_tts_ckb7 / README.md
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metadata
language:
  - ckb
license: mit
tags:
  - hf-tts-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: SpeechT5 tts ckb7- Saber Molaei
    results: []
pipeline_tag: text-to-speech

SpeechT5 tts ckb7- Saber Molaei

This model is a fine-tuned version of microsoft/speecht5_tts on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5043

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • 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: 7000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.6297 2.93 1000 0.5741
0.5784 5.85 2000 0.5376
0.5576 8.78 3000 0.5230
0.5563 11.7 4000 0.5120
0.5257 14.63 5000 0.5070
0.5375 17.56 6000 0.5028
0.5365 20.48 7000 0.5043

Framework versions

  • Transformers 4.30.0.dev0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3