metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- fleurs
model-index:
- name: speecht5_finetuned_uz
results: []
speecht5_finetuned_uz
This model is a fine-tuned version of microsoft/speecht5_tts on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.4840
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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3727 | 24.3902 | 1000 | 0.4688 |
| 3.2448 | 48.7805 | 2000 | 0.4741 |
| 3.1413 | 73.1707 | 3000 | 0.4736 |
| 3.0824 | 97.5610 | 4000 | 0.4806 |
| 3.1047 | 121.9512 | 5000 | 0.4840 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.2.2+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0