whisper-NST2

pere/whisper-NST2

whisper-NST2 is a automatic speech recognition model from pere. 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: whisper
Access: Public
Created: Nov 17, 2022
Updated: Nov 18, 2022
SHA: 82ea841f

Model card

From the Hugging Face model README

whisper-NST2

This model is a fine-tuned version of openai/whisper-small on the NBAILAB/NST - NO-CLOSE dataset. It achieves the following results on the evaluation set:

Loss: 0.2990
Wer: 7.7537

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: 4e-05
train_batch_size: 96
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
training_steps: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1846	0.1	1000	0.3460	14.9373
0.1325	0.2	2000	0.3413	11.4025
0.1135	0.3	3000	0.3428	12.6568
0.0955	0.4	4000	0.3140	10.7184
0.0871	0.5	5000	0.2907	9.4641
0.0774	0.6	6000	0.3019	11.4025
0.041	1.1	7000	0.2897	9.0080
0.0306	1.2	8000	0.3013	7.6397
0.0279	1.3	9000	0.2958	9.1220
0.0239	1.4	10000	0.2990	7.7537

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.6.1
Tokenizers 0.13.1

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Nov 17, 2022
Updated: Nov 18, 2022