speecht5_finetuned_fleurs_de_de
This model is a fine-tuned version of microsoft/speecht5_tts on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.3628
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: 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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4233 | 13.75 | 1000 | 0.3878 |
| 0.3945 | 27.49 | 2000 | 0.3691 |
| 0.3888 | 41.24 | 3000 | 0.3670 |
| 0.3911 | 54.98 | 4000 | 0.3628 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3
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Base model
microsoft/speecht5_tts