speecht5_tts_commonvoice_fa

This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4596

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: 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: 500
• training_steps: 6000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6004	2.18	500	0.5508
0.5764	4.37	1000	0.5257
0.5511	6.55	1500	0.5164
0.5233	8.73	2000	0.5100
0.526	10.92	2500	0.4879
0.5016	13.1	3000	0.4784
0.4888	15.28	3500	0.4697
0.4796	17.47	4000	0.4664
0.4736	19.65	4500	0.4579
0.4501	21.83	5000	0.4601
0.4554	24.02	5500	0.4572
0.4539	26.2	6000	0.4596

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1