metadata
language:
- en
license: mit
base_model: Avitas8485/speecht5_tts_commonvoice_en_05
tags:
- text-to-speech
- generated_from_trainer
datasets:
- lj_speech
model-index:
- name: speecht5_tts_commonvoice_en_06
results: []
speecht5_tts_commonvoice_en_06
This model is a fine-tuned version of Avitas8485/speecht5_tts_commonvoice_en_05 on the ljspeech dataset. It achieves the following results on the evaluation set:
- Loss: 0.3607
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- training_steps: 8000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4009 | 1.36 | 1000 | 0.3658 |
| 0.3939 | 2.71 | 2000 | 0.3648 |
| 0.3976 | 4.07 | 3000 | 0.3635 |
| 0.3975 | 5.43 | 4000 | 0.3624 |
| 0.3878 | 6.78 | 5000 | 0.3613 |
| 0.3956 | 8.14 | 6000 | 0.3612 |
| 0.3947 | 9.5 | 7000 | 0.3608 |
| 0.3854 | 10.85 | 8000 | 0.3607 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3