metadata
language:
- da
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- alexandrainst/nst-da
model-index:
- name: speecht5_tts-finetuned-nst-da
results: []
speecht5_tts-finetuned-nst-da
This model is a fine-tuned version of microsoft/speecht5_tts on the NST Danish ASR Database dataset. It achieves the following results on the evaluation set:
- Loss: 0.3298
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3762 | 1.0 | 9429 | 0.3670 |
| 0.3596 | 2.0 | 18858 | 0.3577 |
| 0.3498 | 3.0 | 28287 | 0.3535 |
| 0.3356 | 4.0 | 37716 | 0.3414 |
| 0.3405 | 5.0 | 47145 | 0.3378 |
| 0.3312 | 6.0 | 56574 | 0.3397 |
| 0.3326 | 7.0 | 66003 | 0.3377 |
| 0.3299 | 8.0 | 75432 | 0.3384 |
| 0.3279 | 9.0 | 84861 | 0.3363 |
| 0.3203 | 10.0 | 94290 | 0.3335 |
| 0.3235 | 11.0 | 103719 | 0.3367 |
| 0.3188 | 12.0 | 113148 | 0.3365 |
| 0.3141 | 13.0 | 122577 | 0.3324 |
| 0.3176 | 14.0 | 132006 | 0.3345 |
| 0.3221 | 15.0 | 141435 | 0.3331 |
| 0.3157 | 16.0 | 150864 | 0.3317 |
| 0.314 | 17.0 | 160293 | 0.3298 |
| 0.3164 | 18.0 | 169722 | 0.3316 |
| 0.3172 | 19.0 | 179151 | 0.3315 |
| 0.3179 | 20.0 | 188580 | 0.3318 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2