---
license: apache-2.0
base_model: speechbrain/spkrec-xvect-voxceleb
tags:
- generated_from_trainer
- text-to-speech
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_en
  results:
  - task:
      name: Text To Speech
      type: text-to-speech
    dataset:
      name: facebook/voxpopuli
      type: facebook/voxpopuli
      config: all
      split: None
    metrics:
    - name: N/A
      type: N/A
      value:
---

<!-- 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_en

This model is a fine-tuned version of [speechbrain/spkrec-xvect-voxceleb](https://huggingface.co/speechbrain/spkrec-xvect-voxceleb) on the facebook/voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6952

## 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: 10
- training_steps: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7848        | 0.12  | 10   | 0.7479          |
| 0.7404        | 0.24  | 20   | 0.6952          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3