wav2vec2-base-sindhi

This model is a fine-tuned version of fahadqazi/wav2vec2-base-sindhi on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4785
• Wer: 0.4274

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: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.2546	0.5724	500	0.6095	0.4907
1.1346	1.1442	1000	0.5598	0.4627
1.1465	1.7167	1500	0.5351	0.4493
1.1363	2.2885	2000	0.5061	0.4352
1.1344	2.8609	2500	0.4785	0.4274

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0