---
license: mit
tags:
- generated_from_trainer
pipeline_tag: text-to-speech
base_model: microsoft/speecht5_tts
model-index:
- name: speecht5_finetuned_google_fleurs_greek
  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_google_fleurs_greek

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3920

## 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: 2.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 100
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5174        | 1.0   | 583   | 0.4863          |
| 0.4948        | 2.0   | 1166  | 0.4611          |
| 0.4723        | 3.0   | 1749  | 0.4503          |
| 0.4763        | 4.0   | 2333  | 0.4438          |
| 0.4614        | 5.0   | 2916  | 0.4407          |
| 0.4569        | 6.0   | 3499  | 0.4387          |
| 0.4538        | 7.0   | 4082  | 0.4306          |
| 0.4539        | 8.0   | 4666  | 0.4282          |
| 0.4564        | 9.0   | 5249  | 0.4230          |
| 0.4493        | 10.0  | 5832  | 0.4222          |
| 0.445         | 11.0  | 6415  | 0.4190          |
| 0.4564        | 12.0  | 6999  | 0.4195          |
| 0.4381        | 13.0  | 7582  | 0.4161          |
| 0.4328        | 14.0  | 8165  | 0.4147          |
| 0.4424        | 15.0  | 8748  | 0.4140          |
| 0.4282        | 16.0  | 9332  | 0.4117          |
| 0.4349        | 17.0  | 9915  | 0.4090          |
| 0.4381        | 18.0  | 10498 | 0.4090          |
| 0.4328        | 19.0  | 11081 | 0.4073          |
| 0.4347        | 20.0  | 11665 | 0.4079          |
| 0.4293        | 21.0  | 12248 | 0.4055          |
| 0.4251        | 22.0  | 12831 | 0.4052          |
| 0.4359        | 23.0  | 13414 | 0.4023          |
| 0.4311        | 24.0  | 13998 | 0.4016          |
| 0.421         | 25.0  | 14581 | 0.4014          |
| 0.4162        | 26.0  | 15164 | 0.3991          |
| 0.4219        | 27.0  | 15747 | 0.3990          |
| 0.4247        | 28.0  | 16331 | 0.3989          |
| 0.4188        | 29.0  | 16914 | 0.3974          |
| 0.4229        | 30.0  | 17497 | 0.3976          |
| 0.4246        | 31.0  | 18080 | 0.3960          |
| 0.4219        | 32.0  | 18664 | 0.3956          |
| 0.4228        | 33.0  | 19247 | 0.3951          |
| 0.4183        | 34.0  | 19830 | 0.3946          |
| 0.4097        | 35.0  | 20413 | 0.3936          |
| 0.4245        | 36.0  | 20997 | 0.3935          |
| 0.4184        | 37.0  | 21580 | 0.3930          |
| 0.4198        | 38.0  | 22163 | 0.3937          |
| 0.4193        | 39.0  | 22746 | 0.3925          |
| 0.4096        | 39.98 | 23320 | 0.3920          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3