---
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
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# 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: 0.6078

## 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-06
- 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
- lr_scheduler_warmup_steps: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.725         | 2.8229  | 500  | 0.6835          |
| 0.6797        | 5.6457  | 1000 | 0.6435          |
| 0.6622        | 8.4686  | 1500 | 0.6273          |
| 0.6533        | 11.2915 | 2000 | 0.6208          |
| 0.6468        | 14.1143 | 2500 | 0.6134          |
| 0.6408        | 16.9372 | 3000 | 0.6108          |
| 0.6397        | 19.7601 | 3500 | 0.6106          |
| 0.64          | 22.5829 | 4000 | 0.6078          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1