neunit-ks-531

SHENMU007/neunit-ks-531

neunit-ks-531 is a audio classification model from SHENMU007. 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
Model type: wav2vec2
Access: Public
Created: May 31, 2023
Updated: May 31, 2023
SHA: e6675efa

Model card

From the Hugging Face model README

neunit-ks-531

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: 0.0084
Accuracy: 0.9985

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
0.0484	1.0	185	0.0566	0.9845
0.0086	2.0	371	0.0410	0.9909
0.007	3.0	556	0.0461	0.9901
0.0044	4.0	742	0.0084	0.9985
0.0032	4.99	925	0.0084	0.9985

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Audio Classification
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 31, 2023
Updated: May 31, 2023