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speecht5_tts_tandt

Text-to-Audio
Transformers
PyTorch
English
speecht5
Trinidadian TTS
Generated from Trainer
Inference Endpoints
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speecht5_tts_tandt / README.md
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metadata
language:
  - en
license: mit
base_model: microsoft/speecht5_tts
tags:
  - Trinidadian TTS
  - generated_from_trainer
datasets:
  - MK_TandT
model-index:
  - name: SpeechT5_Trini
    results: []

SpeechT5_Trini

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

  • Loss: 0.3751

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

Training results

Training Loss Epoch Step Validation Loss
0.4358 4.78 1000 0.3881
0.4205 9.57 2000 0.3799
0.4029 14.35 3000 0.3749
0.4106 19.14 4000 0.3751

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3