speecht5_mal

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: 0.6822

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
0.914	0.0931	10	0.8044
0.8931	0.1863	20	0.7753
0.8891	0.2794	30	0.7568
0.8441	0.3725	40	0.7429
0.8272	0.4657	50	0.7300
0.8317	0.5588	60	0.7215
0.8057	0.6519	70	0.7062
0.8071	0.7451	80	0.6954
0.7727	0.8382	90	0.6825
0.7823	0.9313	100	0.6822

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0