t5_finetuned_vietnamese

This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5615

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• 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: 100
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7263	0.7086	100	0.6728
0.6492	1.4172	200	0.6038
0.6266	2.1258	300	0.5834
0.6455	0.7214	400	0.5809
0.6098	0.9017	500	0.5615

Framework versions

• Transformers 4.44.2
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.19.1