transformers safetensors speecht5 text-to-audio generated_from_trainer base_model:microsoft/speecht5_tts license:mit endpoints_compatible region:us
---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_tts_fa_kh
  results: []
---

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# speecht5_tts_fa_kh

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: 0.4608

## 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: 0.0001
- 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: 7000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6355        | 0.61  | 500  | 0.6008          |
| 0.5802        | 1.22  | 1000 | 0.5700          |
| 0.5703        | 1.83  | 1500 | 0.5321          |
| 0.5534        | 2.44  | 2000 | 0.5320          |
| 0.5441        | 3.05  | 2500 | 0.5198          |
| 0.538         | 3.66  | 3000 | 0.5023          |
| 0.514         | 4.27  | 3500 | 0.4917          |
| 0.5191        | 4.88  | 4000 | 0.4896          |
| 0.5002        | 5.49  | 4500 | 0.4814          |
| 0.4894        | 6.1   | 5000 | 0.4746          |
| 0.4865        | 6.71  | 5500 | 0.4681          |
| 0.4844        | 7.32  | 6000 | 0.4639          |
| 0.4824        | 7.93  | 6500 | 0.4587          |
| 0.4771        | 8.54  | 7000 | 0.4608          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
