metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: fil_b32_le3_s4000
results: []
fil_b32_le3_s4000
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: 1.5469
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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 2000
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5028 | 11.1111 | 500 | 0.4463 |
| 0.6348 | 22.2222 | 1000 | 0.5990 |
| 1.7172 | 33.3333 | 1500 | 1.5665 |
| 1.5863 | 44.4444 | 2000 | 1.5432 |
| 1.5854 | 55.5556 | 2500 | 1.5436 |
| 1.5647 | 66.6667 | 3000 | 1.5431 |
| 1.5731 | 77.7778 | 3500 | 1.5472 |
| 1.5716 | 88.8889 | 4000 | 1.5469 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1