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SpeechT5 TTS Kurdish - Sorani

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

  • Loss: 0.5069

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: 16000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.556 18.4332 4000 0.5184
0.5182 36.8664 8000 0.5033
0.5071 55.2995 12000 0.5057
0.5039 73.7327 16000 0.5069

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.1+cu118
  • Datasets 2.19.2
  • Tokenizers 0.19.1
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Model size
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F32
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Finetuned from

Dataset used to train roshna-omer/speecht5_tts_krd-ckb_CV17.0