wav2vec2-augmented-vivos

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: 0.4403
• Wer: 0.2447

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: cosine
• lr_scheduler_warmup_ratio: 0.3
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.6691	2.0	146	4.0324	1.0
3.4795	4.0	292	3.6294	1.0
3.4178	6.0	438	3.4910	1.0
1.8415	8.0	584	0.7926	0.5287
0.5336	10.0	730	0.5809	0.3677
0.3349	12.0	876	0.4679	0.2853
0.2424	14.0	1022	0.4440	0.2680
0.2193	16.0	1168	0.4420	0.2536
0.1627	18.0	1314	0.4373	0.2455
0.1532	20.0	1460	0.4403	0.2447

Framework versions

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