urdu_speech_tt

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4588

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4931	1.47	100	0.4591
0.5051	2.94	200	0.4595
0.4978	4.41	300	0.4605
0.5171	5.88	400	0.4607
0.5058	7.35	500	0.4610
0.5095	8.82	600	0.4607
0.5037	10.29	700	0.4643
0.4984	11.76	800	0.4592
0.4985	13.24	900	0.4599
0.4939	14.71	1000	0.4588

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.2
• Tokenizers 0.13.3