Speech T5 TTS English
This model is a fine-tuned version of microsoft/speecht5_tts on the IMDA National Speech Corpus dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3551
- eval_runtime: 236.1173
- eval_samples_per_second: 66.962
- eval_steps_per_second: 2.096
- epoch: 5.97
- step: 40002
Model description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 32
- 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
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
microsoft/speecht5_tts