speecht5_tts_commonvoice_en_04

This model is a fine-tuned version of Avitas8485/speecht5_tts_commonvoice_en_03 on the ljspeech dataset. It achieves the following results on the evaluation set:

• Loss: 0.3719

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4105	1.36	1000	0.3789
0.409	2.71	2000	0.3753
0.4076	4.07	3000	0.3735
0.4055	5.43	4000	0.3719

Framework versions

• Transformers 4.30.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.13.0
• Tokenizers 0.13.3