wav2vec2-base-ft-keyword-spotting

sampras343/wav2vec2-base-ft-keyword-spotting

wav2vec2-base-ft-keyword-spotting is a audio classification model from sampras343. Use it for the audio classification task on the model card, and read the license before you ship it in a product. 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: Audio Classification
Library: transformers
License: apache-2.0
Access: Public
Created: Jun 14, 2022
Updated: Jun 14, 2022
SHA: 61c834db

Datasets

superb

Model card

From the Hugging Face model README

wav2vec2-base-ft-keyword-spotting

This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:

Loss: 0.0824
Accuracy: 0.9826

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 0
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8972	1.0	399	0.7023	0.8174
0.3274	2.0	798	0.1634	0.9773
0.1993	3.0	1197	0.1048	0.9788
0.1777	4.0	1596	0.0824	0.9826
0.1527	5.0	1995	0.0812	0.9810

Framework versions

Transformers 4.12.0.dev0
Pytorch 1.9.1+cu111
Datasets 1.14.0
Tokenizers 0.10.3

Task: Audio Classification
Library: transformers
License: apache-2.0
Created: Jun 14, 2022
Updated: Jun 14, 2022