---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: Finetuned_speecht5_2
  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. -->

# Finetuned_speecht5_2

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: 0.4976

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.5279        | 5.9172  | 500  | 0.4841          |
| 0.5081        | 11.8343 | 1000 | 0.4887          |
| 0.4844        | 17.7515 | 1500 | 0.4822          |
| 0.4897        | 23.6686 | 2000 | 0.4829          |
| 0.4708        | 29.5858 | 2500 | 0.4898          |
| 0.4801        | 35.5030 | 3000 | 0.4916          |
| 0.4805        | 41.4201 | 3500 | 0.4923          |
| 0.4617        | 47.3373 | 4000 | 0.5006          |
| 0.4761        | 53.2544 | 4500 | 0.4999          |
| 0.4616        | 59.1716 | 5000 | 0.4976          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1