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# speecht5_finetuned_commonvoice_da

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4693

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6003        | 5.13  | 500  | 0.5255          |
| 0.5378        | 10.27 | 1000 | 0.4966          |
| 0.5223        | 15.4  | 1500 | 0.4840          |
| 0.5129        | 20.54 | 2000 | 0.4760          |
| 0.5059        | 25.67 | 2500 | 0.4714          |
| 0.4942        | 30.81 | 3000 | 0.4711          |
| 0.4944        | 35.94 | 3500 | 0.4691          |
| 0.497         | 41.08 | 4000 | 0.4693          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_0"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_commonvoice_da", "results": []}]}
transformers tensorboard safetensors speecht5 text-to-audio generated_from_trainer dataset:common_voice_16_0 base_model:microsoft/speecht5_tts license:mit endpoints_compatible has_space region:us