wav2vec2-base-finetuned-ks

Shebna/wav2vec2-base-finetuned-ks

wav2vec2-base-finetuned-ks is a audio classification model from Shebna. 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: Oct 13, 2022
Updated: Oct 13, 2022
SHA: ac14eca8

Datasets

minds14

Model card

From the Hugging Face model README

wav2vec2-base-finetuned-ks

This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:

Loss: 2.6374
Accuracy: 0.0619

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: 42
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8	3	2.6374	0.0619
No log	1.8	6	2.6433	0.0619
No log	2.8	9	2.6508	0.0531
3.2258	3.8	12	2.6540	0.0531
3.2258	4.8	15	2.6592	0.0442

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.0
Tokenizers 0.13.1

Task: Audio Classification
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Oct 13, 2022
Updated: Oct 13, 2022