speecht5_finetuned_sai_charan
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: 0.5095
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: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.4192 | 0.4469 | 100 | 0.5835 |
| 4.8702 | 0.8939 | 200 | 0.5509 |
| 4.668 | 1.3397 | 300 | 0.5350 |
| 4.4833 | 1.7866 | 400 | 0.5150 |
| 4.3827 | 2.2324 | 500 | 0.5095 |
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 SaiCharan0017/speecht5_finetuned_sai_charan
Base model
microsoft/speecht5_tts