metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_commonvoice_dv
results: []
speecht5_finetuned_commonvoice_dv
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: 0.4334
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: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 384
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.3761 | 3.2222 | 100 | 0.7551 |
| 8.3203 | 6.4444 | 200 | 0.5722 |
| 7.3507 | 9.6667 | 300 | 0.5280 |
| 6.9851 | 12.8889 | 400 | 0.5115 |
| 6.6688 | 16.1270 | 500 | 0.4952 |
| 6.479 | 19.3492 | 600 | 0.4871 |
| 6.4798 | 22.5714 | 700 | 0.4771 |
| 6.2714 | 25.7937 | 800 | 0.4759 |
| 6.2132 | 29.0317 | 900 | 0.4700 |
| 6.1966 | 32.2540 | 1000 | 0.4652 |
| 6.1389 | 35.4762 | 1100 | 0.4638 |
| 6.0647 | 38.6984 | 1200 | 0.4603 |
| 6.032 | 41.9206 | 1300 | 0.4602 |
| 6.0107 | 45.1587 | 1400 | 0.4552 |
| 5.9762 | 48.3810 | 1500 | 0.4522 |
| 6.0347 | 51.6032 | 1600 | 0.4507 |
| 5.9424 | 54.8254 | 1700 | 0.4508 |
| 5.9278 | 58.0635 | 1800 | 0.4522 |
| 5.9332 | 61.2857 | 1900 | 0.4473 |
| 5.9201 | 64.5079 | 2000 | 0.4443 |
| 5.8812 | 67.7302 | 2100 | 0.4439 |
| 5.8007 | 70.9524 | 2200 | 0.4426 |
| 5.8262 | 74.1905 | 2300 | 0.4409 |
| 5.8343 | 77.4127 | 2400 | 0.4404 |
| 5.8536 | 80.6349 | 2500 | 0.4408 |
| 5.7672 | 83.8571 | 2600 | 0.4381 |
| 5.757 | 87.0952 | 2700 | 0.4381 |
| 5.7981 | 90.3175 | 2800 | 0.4366 |
| 5.8329 | 93.5397 | 2900 | 0.4371 |
| 5.7738 | 96.7619 | 3000 | 0.4365 |
| 5.7674 | 99.9841 | 3100 | 0.4370 |
| 5.7987 | 103.2222 | 3200 | 0.4356 |
| 5.6883 | 106.4444 | 3300 | 0.4351 |
| 5.7883 | 109.6667 | 3400 | 0.4374 |
| 5.7269 | 112.8889 | 3500 | 0.4345 |
| 5.723 | 116.1270 | 3600 | 0.4336 |
| 5.7776 | 119.3492 | 3700 | 0.4354 |
| 5.724 | 122.5714 | 3800 | 0.4342 |
| 5.7235 | 125.7937 | 3900 | 0.4334 |
| 5.7067 | 129.0317 | 4000 | 0.4334 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0