speecht5_tts_dysarthria_v1

This model was trained from scratch on the audiofolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.5207

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-06
• 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: 50
• training_steps: 200
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5385	0.7042	25	0.5221
0.5296	1.4085	50	0.5202
0.5471	2.1127	75	0.5208
0.5408	2.8169	100	0.5204
0.5497	3.5211	125	0.5198
0.5193	4.2254	150	0.5219
0.5317	4.9296	175	0.5184
0.5409	5.6338	200	0.5207

Framework versions

• Transformers 4.43.3
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.19.1