|
--- |
|
language: |
|
- nl |
|
license: mit |
|
base_model: microsoft/speecht5_tts |
|
tags: |
|
- test |
|
- generated_from_trainer |
|
datasets: |
|
- facebook/voxpopuli |
|
model-index: |
|
- name: SpeechT5 TTS NL |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# SpeechT5 TTS NL |
|
|
|
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the VoxPopuli dataset. |
|
It achieves the following results on the evaluation set: |
|
- eval_loss: 0.4728 |
|
- eval_runtime: 4.3194 |
|
- eval_samples_per_second: 191.232 |
|
- eval_steps_per_second: 24.078 |
|
- epoch: 1273.5 |
|
- step: 149000 |
|
|
|
## 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: 64 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 150000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.0.dev0 |
|
- Pytorch 1.13.1+cu116 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
|
|
