metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_mal
results: []
speecht5_mal
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6822
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: 8
- total_train_batch_size: 32
- optimizer: Use 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: 10
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.914 | 0.0931 | 10 | 0.8044 |
| 0.8931 | 0.1863 | 20 | 0.7753 |
| 0.8891 | 0.2794 | 30 | 0.7568 |
| 0.8441 | 0.3725 | 40 | 0.7429 |
| 0.8272 | 0.4657 | 50 | 0.7300 |
| 0.8317 | 0.5588 | 60 | 0.7215 |
| 0.8057 | 0.6519 | 70 | 0.7062 |
| 0.8071 | 0.7451 | 80 | 0.6954 |
| 0.7727 | 0.8382 | 90 | 0.6825 |
| 0.7823 | 0.9313 | 100 | 0.6822 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0