speecht5_finetuned_tesi-tts

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: 0.3792

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: 0.0001
• 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: 100
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4766	1.4898	100	0.4251
0.4481	2.9795	200	0.4044
0.4275	4.4693	300	0.3908
0.4156	5.9590	400	0.3834
0.411	7.4488	500	0.3792

Framework versions

• Transformers 4.42.4
• Pytorch 2.6.0+cu124
• Datasets 2.21.0
• Tokenizers 0.19.1