wav2vec2-base-finetuned-ks-balanced3

selinawisco/wav2vec2-base-finetuned-ks-balanced3

wav2vec2-base-finetuned-ks-balanced3 is a audio classification model from selinawisco. 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.

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

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At a glance

Task: Audio Classification
Library: transformers
Model type: wav2vec2
Access: Public
Created: Sep 30, 2023
Updated: Sep 30, 2023
SHA: 5d98feb9

Datasets

superb

Model card

From the Hugging Face model README

wav2vec2-base-finetuned-ks-balanced3

This model was trained from scratch on the superb dataset. It achieves the following results on the evaluation set:

Loss: 0.3610
Accuracy: 0.9059

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1553	0.99	79	0.3610	0.9059
0.1672	1.99	159	0.5316	0.8569
0.1428	3.0	239	0.4606	0.8670
0.1477	4.0	319	0.4181	0.8825
0.1226	4.95	395	0.4867	0.8711

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3

Task: Audio Classification
Library: transformers
Type: wav2vec2
Created: Sep 30, 2023
Updated: Sep 30, 2023