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speecht5_finetuned_voxpopuli_sl

Text-to-Speech
Transformers
PyTorch
Slovenian
speecht5
text-to-audio
Generated from Trainer
Inference Endpoints
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speecht5_finetuned_voxpopuli_sl / README.md
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metadata
language:
  - sl
base_model: SpeechT5ForTextToSpeech
tags:
  - generated_from_trainer
datasets:
  - facebook/voxpopuli
model-index:
  - name: TTS Model Slovene - Yang
    results: []

TTS Model Slovene - Yang

This model is a fine-tuned version of SpeechT5ForTextToSpeech on the VoxPopuli Slovene dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5173

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: 4
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • 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: 2000

Training results

Training Loss Epoch Step Validation Loss
0.463 63.49 1000 0.5187
0.4513 126.98 2000 0.5173

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1