|
--- |
|
license: mit |
|
base_model: microsoft/speecht5_tts |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- facebook/voxpopuli |
|
model-index: |
|
- name: speecht5_tts-ft-voxpopuli-it |
|
results: |
|
- task: |
|
name: Text-to-Speech |
|
type: text-to-speech |
|
dataset: |
|
name: facebook/voxpopuli |
|
type: facebook/voxpopuli |
|
config: it |
|
split: train |
|
args: it |
|
metrics: |
|
- name: N.A. |
|
type: N.A. |
|
value: N.A. |
|
language: |
|
- it |
|
--- |
|
|
|
|
|
|
|
# speecht5_tts-ft-voxpopuli-it |
|
|
|
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5126 |
|
|
|
## Model description |
|
|
|
It uses the speaker embedding model speechbrain/spkrec-xvect-voxceleb |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
test_size=0.15 |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- 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: 300 |
|
- training_steps: 1000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.6118 | 1.94 | 300 | 0.5508 | |
|
| 0.5729 | 3.89 | 600 | 0.5204 | |
|
| 0.563 | 5.83 | 900 | 0.5126 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 1.12.1+cu116 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.12.1 |
