Edit model card

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
Downloads last month
8
Safetensors
Model size
144M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for huzaifa1117/speecht5_tts_voxpopuli_ur

Finetuned
(651)
this model

Dataset used to train huzaifa1117/speecht5_tts_voxpopuli_ur