---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- common_voice_16_1
model-index:
- name: speecht5_finetuned_mozilla_id_11k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speecht5_finetuned_mozilla_id_11k

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4813

## 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: 32
- eval_batch_size: 2
- seed: 42
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.5681        | 2.9674  | 1000 | 0.5239          |
| 0.5329        | 5.9347  | 2000 | 0.4958          |
| 0.5173        | 8.9021  | 3000 | 0.4898          |
| 0.5089        | 11.8694 | 4000 | 0.4857          |
| 0.5023        | 14.8368 | 5000 | 0.4809          |
| 0.4998        | 17.8042 | 6000 | 0.4788          |
| 0.4983        | 20.7715 | 7000 | 0.4799          |
| 0.4992        | 23.7389 | 8000 | 0.4813          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1