speecht5_finetuned_hindi_ashish
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8764
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: 4
- total_train_batch_size: 16
- 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: 10
- training_steps: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.4232 | 0.3333 | 2 | 1.3753 |
| 5.1802 | 0.6667 | 4 | 1.1434 |
| 4.9712 | 1.0 | 6 | 1.1236 |
| 4.4007 | 1.3333 | 8 | 0.9303 |
| 3.7987 | 1.6667 | 10 | 0.8764 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Ashish24032003/speecht5_finetuned_hindi_ashish
Base model
microsoft/speecht5_tts