SpeechT5 fine-tuning
This model is a fine-tuned version of microsoft/speecht5_tts on the PeekieTech data dataset. It achieves the following results on the evaluation set:
- Loss: 0.4572
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-05
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5281 | 3.5778 | 1000 | 0.4781 |
| 0.4908 | 7.1556 | 2000 | 0.4661 |
| 0.4972 | 10.7335 | 3000 | 0.4595 |
| 0.4858 | 14.3113 | 4000 | 0.4572 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for anirxudh/SpeechT5_TechNL_Finetuned
Base model
microsoft/speecht5_tts