speecht5_finetuned_commonvoice_ur

This model is a fine-tuned version of SalmanAhmad-24/speecht5_finetuned_commonvoice_ur on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4691

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: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• 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: 3000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5235	6.62	1000	0.4792
0.5093	13.25	2000	0.4689
0.5	19.87	3000	0.4691

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2