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# speecht5_finetuned_voxpopuli_fr

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: 0.8649

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.4565        | 533.33  | 1000 | 0.8182          |
| 0.4089        | 1066.67 | 2000 | 0.8548          |
| 0.3972        | 1600.0  | 3000 | 0.8666          |
| 0.3876        | 2133.33 | 4000 | 0.8649          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
{"license": "mit", "tags": ["generated_from_trainer", "text-to-speech"], "datasets": ["facebook/voxpopuli"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_voxpopuli_fr", "results": []}]}
transformers safetensors speecht5 text-to-audio generated_from_trainer text-to-speech dataset:facebook/voxpopuli base_model:microsoft/speecht5_tts license:mit endpoints_compatible has_space region:us