---
license: mit
base_model: MBZUAI/speecht5_tts_clartts_ar
tags:
- generated_from_trainer
model-index:
- name: speecht5_clartts_finetuned_TTS-PLS
  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_clartts_finetuned_TTS-PLS

This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5869

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.642         | 2.8169  | 250  | 0.5850          |
| 0.588         | 5.6338  | 500  | 0.5583          |
| 0.5758        | 8.4507  | 750  | 0.5506          |
| 0.56          | 11.2676 | 1000 | 0.5511          |
| 0.5522        | 14.0845 | 1250 | 0.5469          |
| 0.5398        | 16.9014 | 1500 | 0.5490          |
| 0.5341        | 19.7183 | 1750 | 0.5551          |
| 0.5294        | 22.5352 | 2000 | 0.5555          |
| 0.5235        | 25.3521 | 2250 | 0.5591          |
| 0.5197        | 28.1690 | 2500 | 0.5637          |
| 0.5154        | 30.9859 | 2750 | 0.5738          |
| 0.5109        | 33.8028 | 3000 | 0.5694          |
| 0.5094        | 36.6197 | 3250 | 0.5742          |
| 0.507         | 39.4366 | 3500 | 0.5740          |
| 0.5063        | 42.2535 | 3750 | 0.5791          |
| 0.5018        | 45.0704 | 4000 | 0.5811          |
| 0.4988        | 47.8873 | 4250 | 0.5844          |
| 0.4989        | 50.7042 | 4500 | 0.5835          |
| 0.4989        | 53.5211 | 4750 | 0.5850          |
| 0.5001        | 56.3380 | 5000 | 0.5869          |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1