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

# fine_tuned

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4328

## 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: 2500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5769        | 8.77  | 250  | 0.5205          |
| 0.4998        | 17.54 | 500  | 0.4383          |
| 0.4637        | 26.32 | 750  | 0.4285          |
| 0.4488        | 35.09 | 1000 | 0.4298          |
| 0.4307        | 43.86 | 1250 | 0.4272          |
| 0.4309        | 52.63 | 1500 | 0.4245          |
| 0.4272        | 61.4  | 1750 | 0.4282          |
| 0.4204        | 70.18 | 2000 | 0.4317          |
| 0.4222        | 78.95 | 2250 | 0.4313          |
| 0.4354        | 87.72 | 2500 | 0.4328          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2