speecht5_jenny_500sample

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

• Loss: 0.4246

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• 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: 100
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5771	1.7699	50	0.4779
0.5203	3.5398	100	0.4469
0.4659	5.3097	150	0.4358
0.4456	7.0796	200	0.4305
0.4417	8.8496	250	0.4217
0.4299	10.6195	300	0.4218
0.4216	12.3894	350	0.4168
0.419	14.1593	400	0.4291
0.4132	15.9292	450	0.4273
0.4203	17.6991	500	0.4246

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1