speecht5_finetuned_voxpopuli_de_16
This model is a fine-tuned version of bregsi/speecht5_finetuned_voxpopuli_de on the voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4477
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: 12000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4928 | 2.2812 | 1000 | 0.4584 |
0.4885 | 4.5623 | 2000 | 0.4555 |
0.4831 | 6.8435 | 3000 | 0.4523 |
0.4815 | 9.1246 | 4000 | 0.4515 |
0.4786 | 11.4058 | 5000 | 0.4508 |
0.4735 | 13.6869 | 6000 | 0.4491 |
0.4734 | 15.9681 | 7000 | 0.4494 |
0.4729 | 18.2492 | 8000 | 0.4482 |
0.4678 | 20.5304 | 9000 | 0.4483 |
0.4722 | 22.8115 | 10000 | 0.4479 |
0.47 | 25.0927 | 11000 | 0.4481 |
0.4682 | 27.3738 | 12000 | 0.4477 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for bregsi/speecht5_finetuned_voxpopuli_de_16
Base model
microsoft/speecht5_tts
Finetuned
bregsi/speecht5_finetuned_voxpopuli_de