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speecht5_finetuned_metalsongs
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: 0.4426
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
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5213 | 34.78 | 100 | 0.5506 |
| 0.436 | 69.57 | 200 | 0.4810 |
| 0.4004 | 104.35 | 300 | 0.4776 |
| 0.3816 | 139.13 | 400 | 0.4639 |
| 0.3644 | 173.91 | 500 | 0.4536 |
| 0.3583 | 208.7 | 600 | 0.4539 |
| 0.3515 | 243.48 | 700 | 0.4476 |
| 0.3534 | 278.26 | 800 | 0.4489 |
| 0.3471 | 313.04 | 900 | 0.4466 |
| 0.3463 | 347.83 | 1000 | 0.4426 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
