metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
model-index:
- name: SpeechT5-Hausa-5
results: []
SpeechT5-Hausa-5
This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4702
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 200
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6245 | 1.8476 | 100 | 0.5508 |
| 0.5758 | 3.6952 | 200 | 0.5566 |
| 0.5463 | 5.5427 | 300 | 0.5015 |
| 0.5299 | 7.3903 | 400 | 0.4968 |
| 0.5139 | 9.2379 | 500 | 0.4792 |
| 0.5132 | 11.0855 | 600 | 0.4823 |
| 0.4982 | 12.9330 | 700 | 0.4640 |
| 0.4889 | 14.7806 | 800 | 0.4649 |
| 0.4841 | 16.6282 | 900 | 0.4601 |
| 0.4795 | 18.4758 | 1000 | 0.4631 |
| 0.4779 | 20.3233 | 1100 | 0.4592 |
| 0.4642 | 22.1709 | 1200 | 0.4651 |
| 0.4618 | 24.0185 | 1300 | 0.4599 |
| 0.4583 | 25.8661 | 1400 | 0.4634 |
| 0.4584 | 27.7136 | 1500 | 0.4592 |
| 0.4539 | 29.5612 | 1600 | 0.4604 |
| 0.4498 | 31.4088 | 1700 | 0.4642 |
| 0.4428 | 33.2564 | 1800 | 0.4677 |
| 0.4517 | 35.1039 | 1900 | 0.4705 |
| 0.4371 | 36.9515 | 2000 | 0.4702 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1