metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_antonio
results: []
speecht5_finetuned_antonio
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2766
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.3944 | 8.9787 | 1000 | 0.3490 |
0.354 | 17.9574 | 2000 | 0.3180 |
0.3328 | 26.9360 | 3000 | 0.3005 |
0.3204 | 35.9147 | 4000 | 0.2934 |
0.3077 | 44.8934 | 5000 | 0.2876 |
0.3031 | 53.8721 | 6000 | 0.2828 |
0.3048 | 62.8507 | 7000 | 0.2812 |
0.2992 | 71.8294 | 8000 | 0.2794 |
0.3005 | 80.8081 | 9000 | 0.2772 |
0.3001 | 89.7868 | 10000 | 0.2766 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1