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