wav2vec2-vivos-asr

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

• Loss: 0.6926
• Wer: 0.4232

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: 0.0002
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 300
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.3715	2.0	146	3.6727	1.0
3.4482	4.0	292	3.5947	1.0
3.4187	6.0	438	3.5349	1.0
3.3922	8.0	584	3.4713	1.0
3.349	10.0	730	3.3434	1.0
2.1445	12.0	876	1.3684	0.7849
1.0296	14.0	1022	0.9135	0.5588
0.7796	16.0	1168	0.7838	0.4871
0.609	18.0	1314	0.7060	0.4372
0.5388	20.0	1460	0.6926	0.4232

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1