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

# malay_checkpoint

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: 0.3983

## 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: 2
- 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: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6478        | 0.21  | 500  | 0.5501          |
| 0.5541        | 0.42  | 1000 | 0.4814          |
| 0.5146        | 0.63  | 1500 | 0.4553          |
| 0.4821        | 0.84  | 2000 | 0.4413          |
| 0.4819        | 1.05  | 2500 | 0.4312          |
| 0.4574        | 1.26  | 3000 | 0.4236          |
| 0.4579        | 1.47  | 3500 | 0.4187          |
| 0.443         | 1.68  | 4000 | 0.4156          |
| 0.4525        | 1.88  | 4500 | 0.4095          |
| 0.4736        | 2.09  | 5000 | 0.4054          |
| 0.4486        | 2.3   | 5500 | 0.4045          |
| 0.4471        | 2.51  | 6000 | 0.4017          |
| 0.4436        | 2.72  | 6500 | 0.4012          |
| 0.456         | 2.93  | 7000 | 0.4000          |
| 0.432         | 3.14  | 7500 | 0.3991          |
| 0.4239        | 3.35  | 8000 | 0.3983          |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2