speecht5_tts_ckb / README.md
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metadata
language:
  - ckb
tags:
  - hf-tts-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: SpeechT5 TTS ckb
    results: []

SpeechT5 TTS ckb

This model is a fine-tuned version of [microsoft/speecht5_tts - Saber Molaei](https://huggingface.co/microsoft/speecht5_tts - Saber Molaei) on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5267

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: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5811 7.41 1000 0.5423
0.5511 14.81 2000 0.5267

Framework versions

  • Transformers 4.29.0.dev0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3