speecht5_large_slr43
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: 0.4177
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5161 | 17.2414 | 1000 | 0.4739 |
0.4913 | 34.4828 | 2000 | 0.4592 |
0.4883 | 51.7241 | 3000 | 0.4529 |
0.4713 | 68.9655 | 4000 | 0.4390 |
0.4561 | 86.2069 | 5000 | 0.4303 |
0.4538 | 103.4483 | 6000 | 0.4208 |
0.438 | 120.6897 | 7000 | 0.4186 |
0.4382 | 137.9310 | 8000 | 0.4177 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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microsoft/speecht5_tts
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