wav2vec2-wtimit-finetune

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: 0.0383
• Wer: 0.0160

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: 64
• eval_batch_size: 16
• 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: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.3743	2.82	500	2.9567	1.0
1.866	5.65	1000	0.2856	0.2580
0.2005	8.47	1500	0.0979	0.0669
0.08	11.3	2000	0.0617	0.0325
0.0497	14.12	2500	0.0578	0.0284
0.0348	16.95	3000	0.0557	0.0239
0.0269	19.77	3500	0.0447	0.0212
0.0198	22.6	4000	0.0437	0.0177
0.016	25.42	4500	0.0407	0.0164
0.014	28.25	5000	0.0383	0.0160

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.1+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3