urdu_tts_finetuned_voxpopuli_nl
This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
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: 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: 500
- training_steps: 4000
Training results
Training Loss |
Epoch |
Step |
Validation Loss |
0.5518 |
8.61 |
1000 |
0.5001 |
0.5213 |
17.22 |
2000 |
0.4917 |
0.5091 |
25.83 |
3000 |
0.4825 |
0.5053 |
34.45 |
4000 |
0.4837 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3