---
license: cc-by-nc-4.0
base_model: facebook/mms-tts-vie
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: speecht5_finetuned_voxpopuli_nl
  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_nl

This model is a fine-tuned version of [facebook/mms-tts-vie](https://huggingface.co/facebook/mms-tts-vie) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6235

## 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: 5
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 10.0  | 10   | 5.4309          |
| No log        | 20.0  | 20   | 5.1375          |
| 3.1586        | 30.0  | 30   | 4.9770          |
| 3.1586        | 40.0  | 40   | 4.8637          |
| 2.9299        | 50.0  | 50   | 4.7869          |
| 2.9299        | 60.0  | 60   | 4.7277          |
| 2.9299        | 70.0  | 70   | 4.6799          |
| 2.8457        | 80.0  | 80   | 4.6510          |
| 2.8457        | 90.0  | 90   | 4.6388          |
| 2.8227        | 100.0 | 100  | 4.6235          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0