metadata
language:
- sl
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- text-to-speech
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5-finetuned-voxpopuli-sl
results:
- task:
name: Text to Speech
type: text-to-speech
dataset:
name: Voxpopuli
type: facebook/voxpopuli
config: sl
split: train
args: all
metrics:
- name: Loss
type: loss
value: 0.4546
speecht5-finetuned-voxpopuli-sl
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: 0.4546
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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4942 | 21.68 | 1000 | 0.4567 |
| 0.4698 | 43.36 | 2000 | 0.4544 |
| 0.4615 | 65.04 | 3000 | 0.4541 |
| 0.462 | 86.72 | 4000 | 0.4546 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3