WavLm-base-en

anjulRajendraSharma/WavLm-base-en

WavLm-base-en is a automatic speech recognition model from anjulRajendraSharma. Use it when you need speech turned into text. It is set up for transformers.

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

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At a glance

Task: Automatic Speech Recognition
Library: transformers
Model type: wavlm
Access: Public
Created: Mar 2, 2022
Updated: Jan 28, 2022
SHA: 4d7d181e

Model card

From the Hugging Face model README

wavlm-base-english

This model is a fine-tuned version of microsoft/wavlm-base on the english_ASR - CLEAN dataset. It achieves the following results on the evaluation set:

Loss: 0.0955
Wer: 0.0773

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: 0.0003
train_batch_size: 16
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: 500
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.8664	0.17	300	2.8439	1.0
0.5009	0.34	600	0.2709	0.2162
0.2056	0.5	900	0.1934	0.1602
0.1648	0.67	1200	0.1576	0.1306
0.1922	0.84	1500	0.1358	0.1114
0.093	1.01	1800	0.1277	0.1035
0.0652	1.18	2100	0.1251	0.1005
0.0848	1.35	2400	0.1188	0.0964
0.0706	1.51	2700	0.1091	0.0905
0.0846	1.68	3000	0.1018	0.0840
0.0684	1.85	3300	0.0978	0.0809

Framework versions

Transformers 4.15.0
Pytorch 1.9.1
Datasets 1.18.0
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wavlm
Created: Mar 2, 2022
Updated: Jan 28, 2022