speec T5 LT - Abhinay Poloju
This model is a fine-tuned version of microsoft/speecht5_tts on the Vox Populi LT dataset. It achieves the following results on the evaluation set:
- Loss: 0.4718
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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|---|---|---|---|
| 0.4717 | 125.0 | 1000 | 0.4747 |
| 0.4543 | 250.0 | 2000 | 0.4715 |
| 0.4451 | 375.0 | 3000 | 0.4734 |
| 0.4417 | 500.0 | 4000 | 0.4718 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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