---
license: mit
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_pl_20epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# speecht5_finetuned_voxpopuli_pl_20epochs

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4458

## 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_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6474        | 1.0   | 210  | 0.5754          |
| 0.558         | 2.0   | 421  | 0.4976          |
| 0.5292        | 3.0   | 632  | 0.4788          |
| 0.5174        | 4.0   | 843  | 0.4693          |
| 0.5063        | 5.0   | 1053 | 0.4639          |
| 0.5053        | 6.0   | 1264 | 0.4599          |
| 0.4968        | 7.0   | 1475 | 0.4570          |
| 0.4913        | 8.0   | 1686 | 0.4549          |
| 0.4895        | 9.0   | 1896 | 0.4532          |
| 0.4876        | 10.0  | 2107 | 0.4520          |
| 0.487         | 11.0  | 2318 | 0.4501          |
| 0.4805        | 12.0  | 2529 | 0.4484          |
| 0.4789        | 13.0  | 2739 | 0.4495          |
| 0.4853        | 14.0  | 2950 | 0.4469          |
| 0.4797        | 15.0  | 3161 | 0.4468          |
| 0.4758        | 16.0  | 3372 | 0.4458          |
| 0.4729        | 17.0  | 3582 | 0.4458          |
| 0.4744        | 18.0  | 3793 | 0.4461          |
| 0.4759        | 19.0  | 4004 | 0.4462          |
| 0.4759        | 19.93 | 4200 | 0.4461          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.13.1
- Tokenizers 0.13.3