metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- google/fleurs
model-index:
- name: speecht5_finetuned_fleurs_en_us
results: []
pipeline_tag: text-to-speech
speecht5_finetuned_fleurs_en_us
This model is a fine-tuned version of microsoft/speecht5_tts on the google/fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.4831
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: 5
- training_steps: 54
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.719 | 0.33 | 9 | 0.5634 |
| 0.5994 | 0.67 | 18 | 0.5290 |
| 0.584 | 1.0 | 27 | 0.4924 |
| 0.5589 | 1.33 | 36 | 0.4828 |
| 0.5747 | 1.67 | 45 | 0.4848 |
| 0.5904 | 2.0 | 54 | 0.4831 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3