<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
SpeechT5_Trini_male
This model is a fine-tuned version of microsoft/speecht5_tts on the TandT dataset. It achieves the following results on the evaluation set:
- Loss: 0.3698
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: 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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4054 | 8.62 | 1000 | 0.3746 |
| 0.3923 | 17.24 | 2000 | 0.3701 |
| 0.3892 | 25.86 | 3000 | 0.3684 |
| 0.3973 | 34.48 | 4000 | 0.3698 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
