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

blackhole33/microsopt_uzb_tts

microsopt_uzb_tts

Model description