speecht5_tts_urdu_finetuned

wasimnawaz/speecht5_tts_urdu_finetuned

speecht5_tts_urdu_finetuned is a text-to-audio model from wasimnawaz. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

21% of all-time downloads

All-time downloads

Public

Parameters

144M

3.5 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors578 MB · 100%

At a glance

Task: Text-to-Audio
Library: transformers
Model type: speecht5
Access: Public
Created: May 6, 2025
Updated: May 8, 2025
SHA: 9769e1df

Model card

From the Hugging Face model README

speecht5_tts_urdu_finetuned

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4777

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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: linear
lr_scheduler_warmup_steps: 100
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4715	20.0	100	0.4557
0.4417	40.0	200	0.4549
0.4284	60.0	300	0.4527
0.4084	80.0	400	0.4675
0.3949	100.0	500	0.4777

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Task: Text-to-Audio
Library: transformers
Type: speecht5
Created: May 6, 2025
Updated: May 8, 2025