speecht5_female
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3825
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-06
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 10000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5271 | 7.14 | 1000 | 0.4677 |
0.4785 | 14.27 | 2000 | 0.4240 |
0.4562 | 21.41 | 3000 | 0.4070 |
0.4528 | 28.55 | 4000 | 0.3984 |
0.4338 | 35.68 | 5000 | 0.3925 |
0.4387 | 42.82 | 6000 | 0.3890 |
0.4329 | 49.96 | 7000 | 0.3867 |
0.4318 | 57.09 | 8000 | 0.3856 |
0.4274 | 64.23 | 9000 | 0.3842 |
0.4287 | 71.36 | 10000 | 0.3825 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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