Bengali_finetuned_speecht5_tts
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: 0.6190
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: 8
- 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: 100
- training_steps: 600
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.1441 | 1.9422 | 100 | 0.7127 |
| 5.5876 | 3.8988 | 200 | 0.6550 |
| 5.2451 | 5.8554 | 300 | 0.6514 |
| 5.1514 | 7.8120 | 400 | 0.6227 |
| 4.9727 | 9.7687 | 500 | 0.6220 |
| 4.9797 | 11.7253 | 600 | 0.6190 |
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 DeepDiveDev/Bengali_finetuned_speecht5_tts
Base model
microsoft/speecht5_tts