metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_tts_fa_kh
results: []
speecht5_tts_fa_kh
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: 0.4608
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: 0.0001
- 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: 7000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6355 | 0.61 | 500 | 0.6008 |
| 0.5802 | 1.22 | 1000 | 0.5700 |
| 0.5703 | 1.83 | 1500 | 0.5321 |
| 0.5534 | 2.44 | 2000 | 0.5320 |
| 0.5441 | 3.05 | 2500 | 0.5198 |
| 0.538 | 3.66 | 3000 | 0.5023 |
| 0.514 | 4.27 | 3500 | 0.4917 |
| 0.5191 | 4.88 | 4000 | 0.4896 |
| 0.5002 | 5.49 | 4500 | 0.4814 |
| 0.4894 | 6.1 | 5000 | 0.4746 |
| 0.4865 | 6.71 | 5500 | 0.4681 |
| 0.4844 | 7.32 | 6000 | 0.4639 |
| 0.4824 | 7.93 | 6500 | 0.4587 |
| 0.4771 | 8.54 | 7000 | 0.4608 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1