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speecht5_finetuned_voxpopuli_de_Merkel
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: 0.4112
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: 10000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4831 | 4.06 | 1000 | 0.4406 |
| 0.4583 | 8.12 | 2000 | 0.4271 |
| 0.4482 | 12.18 | 3000 | 0.4177 |
| 0.4435 | 16.24 | 4000 | 0.4148 |
| 0.433 | 20.3 | 5000 | 0.4142 |
| 0.4333 | 24.37 | 6000 | 0.4128 |
| 0.4306 | 28.43 | 7000 | 0.4111 |
| 0.4288 | 32.49 | 8000 | 0.4110 |
| 0.4262 | 36.55 | 9000 | 0.4109 |
| 0.4228 | 40.61 | 10000 | 0.4112 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
