asrfinetuned

This model is a fine-tuned version of NCAIR1/NigerianAccentedEnglish on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0108
• Wer: 0.4772

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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
• lr_scheduler_warmup_steps: 100
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.1563	0.5882	100	1.0900	0.5863
0.5809	1.1765	200	1.0982	0.6652
0.5527	1.7647	300	1.0261	0.5772
0.3345	2.3529	400	1.0422	0.4854
0.2982	2.9412	500	1.0108	0.4772

Framework versions

• Transformers 4.46.3
• Pytorch 2.4.1+cu121
• Datasets 2.19.0
• Tokenizers 0.20.3