speecht5_sindhi

This model is a fine-tuned version of MBZUAI/speecht5_tts_clartts_ar on the fleurs dataset. It achieves the following results on the evaluation set:

• Loss: 0.4007

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• 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: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4691	2.5974	100	0.4582
0.4505	5.1948	200	0.4339
0.4399	7.7922	300	0.4288
0.4277	10.3896	400	0.4193
0.4188	12.9870	500	0.4128
0.4111	15.5844	600	0.4041
0.4085	18.1818	700	0.4025
0.4033	20.7792	800	0.4005
0.3992	23.3766	900	0.4000
0.399	25.9740	1000	0.4007

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.19.1