speecht5_finetuned_voxpopuli_hy
This model is a fine-tuned version of Edmon02/speecht5_finetuned_voxpopuli_nl on the hyvoxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.5655
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
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5144 | 296.2963 | 1000 | 0.5548 |
0.4797 | 592.5926 | 2000 | 0.5446 |
0.4674 | 888.8889 | 3000 | 0.5519 |
0.4575 | 1185.1852 | 4000 | 0.5655 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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