---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
model-index:
- name: 01-08-2023_19-25-49
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 01-08-2023_19-25-49

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5452

## 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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 6000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5581        | 1.0   | 884  | 0.6011          |
| 0.5129        | 2.0   | 1768 | 0.5674          |
| 0.5038        | 3.0   | 2652 | 0.5604          |
| 0.5068        | 4.0   | 3536 | 0.5502          |
| 0.4936        | 5.0   | 4420 | 0.5465          |
| 0.4871        | 6.0   | 5304 | 0.5426          |
| 0.4855        | 6.79  | 6000 | 0.5452          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 1.10.1+cu113
- Datasets 2.13.1
- Tokenizers 0.13.3