This model is a fine-tuned version of microsoft/speecht5_tts on the Processed Thai Speech Data dataset. It achieves the following results on the evaluation set:

Loss: 0.4533

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: 2e-05
train_batch_size: 16
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
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: 500
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5184	1.0	3935	0.4867
0.4998	2.0	7870	0.4710
0.4895	3.0	11805	0.4635
0.4869	4.0	15740	0.4553
0.4764	5.0	19675	0.4533

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

ThuraAung1601/speecht5_for_thai_with_ipa_tts_v3

SpeechT5-TTS with IPA v3 for Thai

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ThuraAung1601/
speecht5_for_thai_with_ipa_tts_v3