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# speecht5_finetuned_voxpopuli

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:
- Loss: 0.3860

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.4707        | 153.85 | 1000 | 0.4256          |
| 0.4391        | 307.69 | 2000 | 0.4004          |
| 0.4363        | 461.54 | 3000 | 0.3895          |
| 0.4308        | 615.38 | 4000 | 0.3860          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["facebook/voxpopuli"], "metrics": ["mse"], "base_model": "microsoft/speecht5_tts", "pipeline_tag": "text-to-speech", "model-index": [{"name": "speecht5_finetuned_voxpopuli", "results": []}]}
transformers tensorboard safetensors speecht5 text-to-audio generated_from_trainer text-to-speech dataset:facebook/voxpopuli base_model:microsoft/speecht5_tts license:mit endpoints_compatible region:us