metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_ro
results: []
speecht5_finetuned_voxpopuli_ro
This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4358
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.587 | 3.1221 | 100 | 0.4987 |
| 0.5147 | 6.2443 | 200 | 0.4616 |
| 0.4926 | 9.3664 | 300 | 0.4524 |
| 0.4711 | 12.4885 | 400 | 0.4428 |
| 0.4643 | 15.6107 | 500 | 0.4415 |
| 0.4537 | 18.7328 | 600 | 0.4396 |
| 0.446 | 21.8550 | 700 | 0.4379 |
| 0.4419 | 24.9771 | 800 | 0.4367 |
| 0.4412 | 28.1221 | 900 | 0.4338 |
| 0.4365 | 31.2443 | 1000 | 0.4358 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0