README.md

metadata

library_name: transformers
language:
  - sw
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - google/fleurs
model-index:
  - name: SpeechT5 TTS sw tmp push tes
    results: []

SpeechT5 TTS sw tmp push tes

This model is a fine-tuned version of microsoft/speecht5_tts on the Fleurs dataset.

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
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.45.0.dev0
• Pytorch 2.0.0+cu117
• Datasets 2.21.0
• Tokenizers 0.19.1