---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_metalsongs
  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_metalsongs

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: 0.4426

## 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
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5213        | 34.78  | 100  | 0.5506          |
| 0.436         | 69.57  | 200  | 0.4810          |
| 0.4004        | 104.35 | 300  | 0.4776          |
| 0.3816        | 139.13 | 400  | 0.4639          |
| 0.3644        | 173.91 | 500  | 0.4536          |
| 0.3583        | 208.7  | 600  | 0.4539          |
| 0.3515        | 243.48 | 700  | 0.4476          |
| 0.3534        | 278.26 | 800  | 0.4489          |
| 0.3471        | 313.04 | 900  | 0.4466          |
| 0.3463        | 347.83 | 1000 | 0.4426          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3