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Sindhi-TTS

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metadata
library_name: transformers
license: mit
base_model: fahadqazi/Sindhi-TTS
tags:
  - generated_from_trainer
model-index:
  - name: Sindhi-TTS
    results: []

Sindhi-TTS

This model is a fine-tuned version of fahadqazi/Sindhi-TTS on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.4602
  • eval_runtime: 47.8291
  • eval_samples_per_second: 36.421
  • eval_steps_per_second: 18.211
  • epoch: 13.2653
  • step: 6500

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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 200
  • training_steps: 10000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3