metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_ugspeech_ak
results: []
speecht5_finetuned_ugspeech_ak
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: 0.3654
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: 0.0001
- 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4378 | 1.4744 | 500 | 0.4069 |
| 0.4306 | 2.9488 | 1000 | 0.3975 |
| 0.4141 | 4.4231 | 1500 | 0.3862 |
| 0.4082 | 5.8975 | 2000 | 0.3851 |
| 0.4029 | 7.3738 | 2500 | 0.3819 |
| 0.4021 | 8.8481 | 3000 | 0.3795 |
| 0.4016 | 11.4744 | 3500 | 0.3763 |
| 0.3918 | 13.1131 | 4000 | 0.3745 |
| 0.3889 | 13.2735 | 4500 | 0.3682 |
| 0.3886 | 14.7479 | 5000 | 0.3654 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3