wsj0-full-supervised

Kuray107/wsj0-full-supervised

wsj0-full-supervised is a automatic speech recognition model from Kuray107. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Mar 2, 2022
Updated: Mar 3, 2022
SHA: 9422f3af

Model card

From the Hugging Face model README

wsj0-full-supervised

This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0623
Wer: 0.0343

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: 12
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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.517	0.86	500	2.9475	1.0
2.2387	1.72	1000	0.4004	0.3498
0.3081	2.57	1500	0.1362	0.1159
0.1744	3.43	2000	0.1125	0.0929
0.1285	4.29	2500	0.0894	0.0727
0.1015	5.15	3000	0.0852	0.0642
0.0811	6.0	3500	0.0789	0.0614
0.0748	6.86	4000	0.0746	0.0529
0.0639	7.72	4500	0.0714	0.0481
0.0606	8.58	5000	0.0698	0.0489
0.0525	9.43	5500	0.0747	0.0464
0.0489	10.29	6000	0.0594	0.0396
0.0419	11.15	6500	0.0600	0.0359
0.0414	12.01	7000	0.0612	0.0412
0.0383	12.86	7500	0.0676	0.0392
0.0352	13.72	8000	0.0626	0.0388
0.034	14.58	8500	0.0699	0.0372
0.0309	15.44	9000	0.0807	0.0420
0.0295	16.3	9500	0.0796	0.0396
0.0273	17.15	10000	0.0716	0.0376
0.0271	18.01	10500	0.0657	0.0384
0.0251	18.87	11000	0.0585	0.0351
0.024	19.73	11500	0.0557	0.0347
0.0252	20.58	12000	0.0609	0.0327
0.0231	21.44	12500	0.0720	0.0368
0.0202	22.3	13000	0.0625	0.0343
0.0195	23.16	13500	0.0635	0.0372
0.0201	24.01	14000	0.0582	0.0335
0.0183	24.87	14500	0.0562	0.0343
0.0183	25.73	15000	0.0629	0.0335
0.0175	26.59	15500	0.0593	0.0323
0.017	27.44	16000	0.0631	0.0339
0.0162	28.3	16500	0.0597	0.0335
0.0169	29.16	17000	0.0623	0.0343

Framework versions

Transformers 4.14.1
Pytorch 1.10.2
Datasets 1.18.2
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 2, 2022
Updated: Mar 3, 2022