SyedNaqi_TechSpeechT5_TTS
This model is a fine-tuned version of microsoft/speecht5_tts on the TTS_English_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.4859
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: 2e-05
- train_batch_size: 14
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5661 | 4.3353 | 500 | 0.5135 |
| 0.5339 | 8.6705 | 1000 | 0.4927 |
| 0.5155 | 13.0058 | 1500 | 0.4859 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
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Model tree for naqi72/speecht5_finetuned_hindi_syed_naqi
Base model
microsoft/speecht5_tts