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---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: microsopt_uzb_tts
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. -->
# microsopt_uzb_tts
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4618
## Model description
**microsopt_uzb_tts** bu model deyarli 1 GB datasetga fine-tuned qilindi.
Agarda qanaday qilib foydalanishni bilishni xoxlamoqchi bo'lsangiz.
Bu linkdagi foydalanish qadamlarga ergashing.
```https://huggingface.co/ai-nightcoder/UZBTTS```
## 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-05
- 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5477 | 3.75 | 1000 | 0.4948 |
| 0.513 | 7.5 | 2000 | 0.4808 |
| 0.5 | 11.26 | 3000 | 0.4670 |
| 0.4987 | 15.01 | 4000 | 0.4618 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
|