speecht5_tts_commonvoice_en_06

This model is a fine-tuned version of Avitas8485/speecht5_tts_commonvoice_en_05 on the ljspeech dataset. It achieves the following results on the evaluation set:

• Loss: 0.3607

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: 8000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4009	1.36	1000	0.3658
0.3939	2.71	2000	0.3648
0.3976	4.07	3000	0.3635
0.3975	5.43	4000	0.3624
0.3878	6.78	5000	0.3613
0.3956	8.14	6000	0.3612
0.3947	9.5	7000	0.3608
0.3854	10.85	8000	0.3607

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3