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urdu_tts_recovery_A – AI Model by Shaju07 | AlphaNeural AI

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Shaju07/
urdu_tts_recovery_A

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Shaju07/urdu_tts_0.1_B

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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