speec T5 ES - Sumet
This model is a fine-tuned version of microsoft/speecht5_tts on the Vox Populi ES dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4434
- eval_runtime: 126.5506
- eval_samples_per_second: 19.802
- eval_steps_per_second: 4.955
- epoch: 3.41
- step: 2400
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: 4
- 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: 4000
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3