speecht5_finetuned_essam1_ar

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: 0.3612

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: 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: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5284	0.3742	100	0.4634
0.4832	0.7484	200	0.4426
0.4524	1.1225	300	0.4221
0.4426	1.4967	400	0.4052
0.4311	1.8709	500	0.3923
0.4207	2.2451	600	0.3799
0.4139	2.6193	700	0.3724
0.4045	2.9935	800	0.3675
0.3978	3.3676	900	0.3635
0.3958	3.7418	1000	0.3612

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.20.3