metadata
language:
- fl
license: mit
base_model: microsoft/speecht5_tts
tags:
- Tets only
- generated_from_trainer
datasets:
- mewu/test
model-index:
- name: Mewu custom
results: []
Mewu custom
This model is a fine-tuned version of microsoft/speecht5_tts on the mewu dataset. It achieves the following results on the evaluation set:
- Loss: 1.4956
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: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4967 | 66.6667 | 100 | 0.4655 |
| 0.504 | 133.3333 | 200 | 0.4540 |
| 0.5434 | 200.0 | 300 | 0.6293 |
| 1.5883 | 266.6667 | 400 | 1.5112 |
| 1.5286 | 333.3333 | 500 | 1.5048 |
| 1.4761 | 400.0 | 600 | 1.5227 |
| 1.4458 | 466.6667 | 700 | 1.4967 |
| 1.4453 | 533.3333 | 800 | 1.4935 |
| 1.4446 | 600.0 | 900 | 1.4960 |
| 1.4451 | 666.6667 | 1000 | 1.4956 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1