Hubert-base-superb

Elliotte/Hubert-base-superb

Hubert-base-superb is a automatic speech recognition model from Elliotte. 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: hubert
Access: Public
Created: Jul 3, 2022
Updated: Jul 3, 2022
SHA: ea736d41

Datasets

superb

Model card

From the Hugging Face model README

Hubert-base-superb

This model is a fine-tuned version of ntu-spml/distilhubert on the superb dataset. It achieves the following results on the evaluation set:

Loss: 0.6712
Wer: 0.4781

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: 0.001
train_batch_size: 16
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: 250
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.7884	0.8	500	0.8900	0.6940
0.6603	1.6	1000	0.7378	0.6103
0.5401	2.4	1500	0.7107	0.5762
0.4604	3.2	2000	0.6563	0.5320
0.3936	4.0	2500	0.6315	0.5244
0.3186	4.8	3000	0.6525	0.5007
0.2727	5.6	3500	0.6553	0.4855
0.2296	6.4	4000	0.6712	0.4781

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

Task: Automatic Speech Recognition
Library: transformers
Type: hubert
License: apache-2.0
Created: Jul 3, 2022
Updated: Jul 3, 2022