Abdullah-Habib
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finetuned_speecht5_urdu

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finetuned_speecht5_urdu

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset.

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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.15	10	1.0490

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0

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Safetensors

Model size

144M params

Tensor type

F32

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Model tree for Abdullah-Habib/finetuned_speecht5_urdu

Base model

microsoft/speecht5_tts

Finetuned

(780)

this model

Evaluation results

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