speecht5_tts_npsc

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

• Loss: 0.4745

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: 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: 500
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5489	2.42	1000	0.5087
0.5217	4.83	2000	0.4842
0.5151	7.25	3000	0.4770
0.5147	9.66	4000	0.4745

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.0