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# speecht5_finetuned_th_20k

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5365

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5742        | 20.2   | 500  | 0.5305          |
| 0.5292        | 40.4   | 1000 | 0.5238          |
| 0.5063        | 60.61  | 1500 | 0.5217          |
| 0.4899        | 80.81  | 2000 | 0.5230          |
| 0.4804        | 101.01 | 2500 | 0.5127          |
| 0.4616        | 121.21 | 3000 | 0.5173          |
| 0.4537        | 141.41 | 3500 | 0.5152          |
| 0.4537        | 161.62 | 4000 | 0.5177          |
| 0.4439        | 181.82 | 4500 | 0.5201          |
| 0.4304        | 202.02 | 5000 | 0.5148          |
| 0.4261        | 222.22 | 5500 | 0.5293          |
| 0.4254        | 242.42 | 6000 | 0.5285          |
| 0.4204        | 262.63 | 6500 | 0.5282          |
| 0.4175        | 282.83 | 7000 | 0.5350          |
| 0.4145        | 303.03 | 7500 | 0.5348          |
| 0.414         | 323.23 | 8000 | 0.5365          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_th_20k", "results": []}]}
transformers tensorboard safetensors speecht5 text-to-audio generated_from_trainer dataset:common_voice_11_0 base_model:microsoft/speecht5_tts license:mit endpoints_compatible region:us