speecht5_tts_fa_kh – AI Model by KHooshanfar | AlphaNeural AI

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KHooshanfar/
speecht5_tts_fa_kh

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microsoft/speecht5_tts

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speecht5_tts_fa_kh

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4608

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: 7000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6355	0.61	500	0.6008
0.5802	1.22	1000	0.5700
0.5703	1.83	1500	0.5321
0.5534	2.44	2000	0.5320
0.5441	3.05	2500	0.5198
0.538	3.66	3000	0.5023
0.514	4.27	3500	0.4917
0.5191	4.88	4000	0.4896
0.5002	5.49	4500	0.4814
0.4894	6.1	5000	0.4746
0.4865	6.71	5500	0.4681
0.4844	7.32	6000	0.4639
0.4824	7.93	6500	0.4587
0.4771	8.54	7000	0.4608

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1