---
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: speecht5_tts_dysarthria_v1
  results: []
---

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# speecht5_tts_dysarthria_v1

This model was trained from scratch on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5207

## 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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 50
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5385        | 0.7042 | 25   | 0.5221          |
| 0.5296        | 1.4085 | 50   | 0.5202          |
| 0.5471        | 2.1127 | 75   | 0.5208          |
| 0.5408        | 2.8169 | 100  | 0.5204          |
| 0.5497        | 3.5211 | 125  | 0.5198          |
| 0.5193        | 4.2254 | 150  | 0.5219          |
| 0.5317        | 4.9296 | 175  | 0.5184          |
| 0.5409        | 5.6338 | 200  | 0.5207          |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.19.1