metadata
license: cc-by-nc-4.0
base_model: facebook/mms-tts-vie
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: speecht5_finetuned_voxpopuli_nl
results: []
speecht5_finetuned_voxpopuli_nl
This model is a fine-tuned version of facebook/mms-tts-vie on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 4.6235
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: 5
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 10.0 | 10 | 5.4309 |
| No log | 20.0 | 20 | 5.1375 |
| 3.1586 | 30.0 | 30 | 4.9770 |
| 3.1586 | 40.0 | 40 | 4.8637 |
| 2.9299 | 50.0 | 50 | 4.7869 |
| 2.9299 | 60.0 | 60 | 4.7277 |
| 2.9299 | 70.0 | 70 | 4.6799 |
| 2.8457 | 80.0 | 80 | 4.6510 |
| 2.8457 | 90.0 | 90 | 4.6388 |
| 2.8227 | 100.0 | 100 | 4.6235 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0