wav2vec2-base-finetuned-ks

linh81/wav2vec2-base-finetuned-ks

wav2vec2-base-finetuned-ks is a audio classification model from linh81. 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: Jun 9, 2024
Updated: Jun 20, 2024
SHA: 15461d05

Base models

facebook/wav2vec2-base

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 None dataset. It achieves the following results on the evaluation set:

Loss: 0.6647
Accuracy: 0.8163

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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	0.8889	6	0.9422	0.6327
No log	1.9259	13	0.8084	0.6327
No log	2.9630	20	0.7115	0.7959
No log	4.0	27	0.6647	0.8163
No log	4.4444	30	0.6585	0.8163

Framework versions

Transformers 4.41.2
Pytorch 2.2.2+cpu
Datasets 2.19.2
Tokenizers 0.19.1

Task: Audio Classification
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Jun 9, 2024
Updated: Jun 20, 2024