mr_sam_wav2vec2_nigerian_accent_v1

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

• Loss: 0.3400
• Wer: 0.1900

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: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 40
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.456	6.67	500	2.9391	1.0
1.0329	13.33	1000	0.4350	0.3343
0.2048	20.0	1500	0.3604	0.2488
0.1054	26.67	2000	0.3545	0.2118
0.0698	33.33	2500	0.3480	0.2012
0.0529	40.0	3000	0.3400	0.1900

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2