microsopt_uzb_tts
This model is a fine-tuned version of 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
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