metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: fine_tuned
results: []
fine_tuned
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: 0.4328
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: 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: 2500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5769 | 8.77 | 250 | 0.5205 |
| 0.4998 | 17.54 | 500 | 0.4383 |
| 0.4637 | 26.32 | 750 | 0.4285 |
| 0.4488 | 35.09 | 1000 | 0.4298 |
| 0.4307 | 43.86 | 1250 | 0.4272 |
| 0.4309 | 52.63 | 1500 | 0.4245 |
| 0.4272 | 61.4 | 1750 | 0.4282 |
| 0.4204 | 70.18 | 2000 | 0.4317 |
| 0.4222 | 78.95 | 2250 | 0.4313 |
| 0.4354 | 87.72 | 2500 | 0.4328 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2