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-2
results: []
SpeechT5-Hausa-2
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: 0.5086
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 |
|---|---|---|---|
| 0.5658 | 7.3733 | 200 | 0.5169 |
| 0.5266 | 14.7465 | 400 | 0.5300 |
| 0.4989 | 22.1198 | 600 | 0.4869 |
| 0.4747 | 29.4931 | 800 | 0.4763 |
| 0.4571 | 36.8664 | 1000 | 0.4736 |
| 0.4515 | 44.2396 | 1200 | 0.4751 |
| 0.4385 | 51.6129 | 1400 | 0.4884 |
| 0.4333 | 58.9862 | 1600 | 0.4969 |
| 0.429 | 66.3594 | 1800 | 0.5048 |
| 0.4198 | 73.7327 | 2000 | 0.5086 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1