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

Loss: 0.4737

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: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5759	2.5063	1000	0.5052
0.5352	5.0125	2000	0.4835
0.5291	7.5188	3000	0.4772
0.5209	10.0251	4000	0.4737

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

hisanusman/speecht5_tts_urdu

SpeechT5 TTS Urdu (Roman)

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hisanusman/
speecht5_tts_urdu