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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: 0.6078
## 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
|