---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- text-to-speech
datasets:
- voxpopuli/fi
model-index:
- name: speecht5_finetuned_voxpopuli_fi
  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_fi

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co./microsoft/speecht5_tts) on the voxpopuli/fi dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4489

## 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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.5539        | 1.4577  | 500  | 0.4861          |
| 0.5132        | 2.9155  | 1000 | 0.4683          |
| 0.5069        | 4.3732  | 1500 | 0.4607          |
| 0.4886        | 5.8309  | 2000 | 0.4555          |
| 0.495         | 7.2886  | 2500 | 0.4539          |
| 0.4846        | 8.7464  | 3000 | 0.4504          |
| 0.4843        | 10.2041 | 3500 | 0.4495          |
| 0.4932        | 11.6618 | 4000 | 0.4489          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3