transformers tensorboard safetensors speecht5 text-to-audio generated_from_trainer dataset:common_voice_13_0 base_model:microsoft/speecht5_tts license:mit endpoints_compatible region:us
---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
model-index:
- name: speecht5_tts_commonvoice_fa
  results: []
---

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# speecht5_tts_commonvoice_fa

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4596

## 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: 6000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6004        | 2.18  | 500  | 0.5508          |
| 0.5764        | 4.37  | 1000 | 0.5257          |
| 0.5511        | 6.55  | 1500 | 0.5164          |
| 0.5233        | 8.73  | 2000 | 0.5100          |
| 0.526         | 10.92 | 2500 | 0.4879          |
| 0.5016        | 13.1  | 3000 | 0.4784          |
| 0.4888        | 15.28 | 3500 | 0.4697          |
| 0.4796        | 17.47 | 4000 | 0.4664          |
| 0.4736        | 19.65 | 4500 | 0.4579          |
| 0.4501        | 21.83 | 5000 | 0.4601          |
| 0.4554        | 24.02 | 5500 | 0.4572          |
| 0.4539        | 26.2  | 6000 | 0.4596          |


### Framework versions

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