lyrics_detect

Jour/lyrics_detect

lyrics_detect is a machine learning model from Jour. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Aug 24, 2024
Updated: Aug 24, 2024
SHA: 3fbd3130

Base models

facebook/wav2vec2-base

Model card

From the Hugging Face model README

lyrics_detect

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

Loss: 0.6254
Accuracy: 0.6

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 128
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.9956	7	0.6137	0.71
0.6734	1.9911	14	0.5822	0.71
0.6594	2.9867	21	0.6136	0.72
0.6594	3.9822	28	0.6369	0.72
0.6299	4.9778	35	0.6399	0.62
0.6204	5.9733	42	0.6647	0.56
0.6204	6.9689	49	0.6278	0.66
0.6156	7.9644	56	0.6578	0.67
0.6261	8.96	63	0.6107	0.65
0.5914	9.9556	70	0.6254	0.6

Framework versions

Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: wav2vec2
License: apache-2.0
Created: Aug 24, 2024
Updated: Aug 24, 2024