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urdu_tts_recovery_A

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metadata
library_name: transformers
license: mit
base_model: Shaju07/urdu_tts_0.1_B
tags:
  - generated_from_trainer
model-index:
  - name: urdu_tts_recovery_A
    results: []

urdu_tts_recovery_A

This model is a fine-tuned version of Shaju07/urdu_tts_0.1_B on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.4344
  • eval_runtime: 28.3679
  • eval_samples_per_second: 37.225
  • eval_steps_per_second: 18.613
  • epoch: 14.7059
  • step: 2750

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 2000
  • training_steps: 10000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0