metadata
library_name: transformers
language:
- uz
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- Beehzod/aug_uzbek_dataset
model-index:
- name: Mironshoh uzbek tts
results: []
Mironshoh uzbek tts
This model is a fine-tuned version of microsoft/speecht5_tts on the aug_uzbek_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4046
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-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.429 | 17.5499 | 1000 | 0.4077 |
0.4052 | 35.0887 | 2000 | 0.4046 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0