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speecht5_finetuned_voxpopuli_en
This model is a fine-tuned version of microsoft/speecht5_tts on the speechbrain/spkrec-xvect-voxceleb dataset. It achieves the following results on the evaluation set:
- Loss: 0.4466
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- 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: 1500
- training_steps: 12000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5271 | 1.58 | 1000 | 0.4843 |
| 0.5025 | 3.15 | 2000 | 0.4648 |
| 0.4947 | 4.73 | 3000 | 0.4575 |
| 0.4857 | 6.3 | 4000 | 0.4543 |
| 0.487 | 7.88 | 5000 | 0.4519 |
| 0.4804 | 9.46 | 6000 | 0.4494 |
| 0.4798 | 11.03 | 7000 | 0.4487 |
| 0.4813 | 12.61 | 8000 | 0.4478 |
| 0.4831 | 14.18 | 9000 | 0.4476 |
| 0.4751 | 15.76 | 10000 | 0.4468 |
| 0.4795 | 17.34 | 11000 | 0.4463 |
| 0.474 | 18.91 | 12000 | 0.4466 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 1.13.1
- Datasets 2.13.1
- Tokenizers 0.13.2
