speecht5_tts_finetuned_voxpopuli_lt
This model is a fine-tuned version of microsoft/speecht5_tts on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4692
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 50
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6225 | 7.02 | 100 | 0.5038 |
| 0.5198 | 15.01 | 200 | 0.4784 |
| 0.4946 | 23.0 | 300 | 0.4827 |
| 0.4796 | 30.02 | 400 | 0.4692 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for jaymanvirk/speecht5_tts_finetuned_voxpopuli_lt
Base model
microsoft/speecht5_tts