speecht5_finetuned_lj_speech

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

• Loss: 0.3772

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: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4519	1.3569	500	0.4035
0.4307	2.7137	1000	0.3897
0.4243	4.0706	1500	0.3842
0.4154	5.4274	2000	0.3814
0.4158	6.7843	2500	0.3793
0.409	8.1411	3000	0.3783
0.4112	9.4980	3500	0.3774
0.4135	10.8548	4000	0.3772

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0