---
license: mit
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_pl_10epochs
  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_10epochs

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: 0.4545

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6116        | 1.0   | 210  | 0.5300          |
| 0.5393        | 2.0   | 421  | 0.4871          |
| 0.5235        | 3.0   | 632  | 0.4736          |
| 0.5125        | 4.0   | 843  | 0.4653          |
| 0.5067        | 5.0   | 1053 | 0.4632          |
| 0.5049        | 6.0   | 1264 | 0.4607          |
| 0.4993        | 7.0   | 1475 | 0.4579          |
| 0.4996        | 8.0   | 1686 | 0.4562          |
| 0.4957        | 9.0   | 1896 | 0.4546          |
| 0.4971        | 9.96  | 2100 | 0.4547          |


### Framework versions

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