metadata
language:
- fr
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- google/fleurs
model-index:
- name: speecht5_finetuned_fleurs_fr
results: []
pipeline_tag: text-to-speech
speecht5_finetuned_fleurs_fr
This model is a fine-tuned version of microsoft/speecht5_tts on the google/fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.3627
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: 6
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 36
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 250
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3958 | 2.82 | 250 | 0.3692 |
| 0.3942 | 5.64 | 500 | 0.3651 |
| 0.3924 | 8.46 | 750 | 0.3615 |
| 0.3927 | 11.28 | 1000 | 0.3627 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3