SpeechT5 TTS marathi train1
This model is a fine-tuned version of microsoft/speecht5_tts on the GC_marathi_large dataset. It achieves the following results on the evaluation set:
- Loss: 0.7604
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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0728 | 5.2632 | 100 | 0.9236 |
| 1.8554 | 10.5263 | 200 | 0.8116 |
| 1.7615 | 15.7895 | 300 | 0.7807 |
| 1.6881 | 21.0526 | 400 | 0.7641 |
| 1.6793 | 26.3158 | 500 | 0.7604 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
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Model tree for pranavdaware/speecht5_tts_marathi_train1
Base model
microsoft/speecht5_tts