metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: fil_b32_le4_s8000
results: []
fil_b32_le4_s8000
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: 0.4087
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: 2000
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.498 | 10.9890 | 500 | 0.4393 |
| 0.448 | 21.9780 | 1000 | 0.4195 |
| 0.4411 | 32.9670 | 1500 | 0.4205 |
| 0.4347 | 43.9560 | 2000 | 0.4253 |
| 0.4173 | 54.9451 | 2500 | 0.4151 |
| 0.4012 | 65.9341 | 3000 | 0.4118 |
| 0.4023 | 76.9231 | 3500 | 0.4092 |
| 0.3873 | 87.9121 | 4000 | 0.4116 |
| 0.381 | 98.9011 | 4500 | 0.4089 |
| 0.3804 | 109.8901 | 5000 | 0.4093 |
| 0.3724 | 120.8791 | 5500 | 0.4066 |
| 0.3665 | 131.8681 | 6000 | 0.4092 |
| 0.3635 | 142.8571 | 6500 | 0.4099 |
| 0.3562 | 153.8462 | 7000 | 0.4075 |
| 0.3581 | 164.8352 | 7500 | 0.4097 |
| 0.3461 | 175.8242 | 8000 | 0.4087 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1