---
language:
- id
license: mit
base_model: microsoft/speecht5_tts
tags:
- text-to-speech
datasets:
- mozilla-foundation/common_voice_16_1
model-index:
- name: speecht5_finetuned_commonvoice_id
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speecht5_finetuned_commonvoice_id

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the mozilla-foundation/common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4675

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5394        | 4.28  | 1000 | 0.4908          |
| 0.5062        | 8.56  | 2000 | 0.4730          |
| 0.5074        | 12.83 | 3000 | 0.4700          |
| 0.5023        | 17.11 | 4000 | 0.4675          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0