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speecht5_tts_voxpopuli_ur – AI Model by huzaifa1117 | AlphaNeural AI
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speecht5_tts_voxpopuli_ur
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
nl
facebook/voxpopuli
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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SpeechT5 TTS urdu
This model is a fine-tuned version of
microsoft/speecht5_tts
on the mine dataset. It achieves the following results on the evaluation set:
Loss: 0.4670
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: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
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
0.5323
1.6694
1000
0.4864
0.5074
3.3389
2000
0.4734
0.5006
5.0083
3000
0.4685
0.5072
6.6778
4000
0.4670
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
