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---
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
|