speecht5_finetuned_PersianTTS

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: 0.5380

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: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
0.9582	0.1925	250	0.6677
0.6618	0.3851	500	0.5812
0.586	0.5776	750	0.5595
0.5617	0.7701	1000	0.5486
0.5547	0.9626	1250	0.5420
0.5429	1.1552	1500	0.5411
0.5372	1.3477	1750	0.5377
0.5365	1.5402	2000	0.5380

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1