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speecht5_finetuned_common_voice_be

Text-to-Speech
Transformers
PyTorch
TensorBoard
Belarusian
speecht5
text-to-audio
Generated from Trainer
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speecht5_finetuned_common_voice_be / README.md
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metadata
language:
  - be
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_13_0
model-index:
  - name: SpeechT5 Belarusian Speaker
    results: []
pipeline_tag: text-to-speech

SpeechT5 Belarusian Speaker

This model is a fine-tuned version of microsoft/speecht5_tts on the Common Voice [Belarusian] dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6249

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: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
0.8333 0.32 100 0.7151
0.7477 0.64 200 0.6609
0.7104 0.96 300 0.6311
0.69 1.28 400 0.6275
0.6658 1.6 500 0.6249

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3