metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: Finetuned_speecht5
results: []
Finetuned_speecht5
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: 0.5028
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6106 | 8.8496 | 500 | 0.5241 |
| 0.5243 | 17.6991 | 1000 | 0.4949 |
| 0.5004 | 26.5487 | 1500 | 0.4873 |
| 0.4918 | 35.3982 | 2000 | 0.4871 |
| 0.4927 | 44.2478 | 2500 | 0.4922 |
| 0.4715 | 53.0973 | 3000 | 0.4964 |
| 0.4832 | 61.9469 | 3500 | 0.4996 |
| 0.4744 | 70.7965 | 4000 | 0.5028 |
| 0.4677 | 79.6460 | 4500 | 0.5046 |
| 0.4568 | 88.4956 | 5000 | 0.5028 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1