wav2vec2-base-20sec-timit-and-dementiabank

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4338
• Wer: 0.2313

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: 4
• 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: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.6839	2.53	500	2.7287	1.0
0.8708	5.05	1000	0.5004	0.3490
0.2879	7.58	1500	0.4411	0.2872
0.1877	10.1	2000	0.4359	0.2594
0.1617	12.63	2500	0.4404	0.2492
0.1295	15.15	3000	0.4356	0.2418
0.1146	17.68	3500	0.4338	0.2313

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.10.3