speecht5_tts_vivos

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

• Loss: 0.4145

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
0.4582	2.81	1000	0.4213
0.459	5.63	2000	0.4204
0.4489	8.44	3000	0.4149
0.4466	11.25	4000	0.4145

Framework versions

• Transformers 4.29.0.dev0
• Pytorch 2.0.0
• Datasets 2.11.0
• Tokenizers 0.13.3