---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_voxpopuli_hy
  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_hy

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: 0.6020

## 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: 62
- training_steps: 1500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3261        | 83.0   | 125  | 0.7073          |
| 0.3063        | 166.67 | 250  | 0.6427          |
| 0.2848        | 250.0  | 375  | 0.6256          |
| 0.2857        | 333.33 | 500  | 0.6221          |
| 0.2838        | 417.0  | 625  | 0.6205          |
| 0.2526        | 500.0  | 750  | 0.6013          |
| 0.2429        | 583.0  | 875  | 0.5997          |
| 0.2666        | 666.67 | 1000 | 0.6097          |
| 0.2531        | 750.0  | 1125 | 0.6119          |
| 0.336         | 833.33 | 1250 | 0.6109          |
| 0.2299        | 917.0  | 1375 | 0.6049          |
| 0.2501        | 1000.0 | 1500 | 0.6020          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0