wav2vec2-300m-ft-soft-skill

jhonparra18/wav2vec2-300m-ft-soft-skill

wav2vec2-300m-ft-soft-skill is a audio classification model from jhonparra18. 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: Sep 6, 2022
Updated: Sep 7, 2022
SHA: 3d29250f

Model card

From the Hugging Face model README

wav2vec2-300m-ft-soft-skill

This model is a fine-tuned version of glob-asr/xls-r-es-test-lm on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7447
Accuracy: 0.6827
F1 Micro: 0.3514
F1 Macro: 0.6827
Precision Micro: 0.6827

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: 1e-05
train_batch_size: 8
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Micro	F1 Macro	Precision Micro
0.823	0.51	100	0.6821	0.7589	0.2876	0.7589	0.7589
0.7122	1.02	200	0.6767	0.7589	0.2876	0.7589	0.7589
0.6706	1.52	300	0.6768	0.7589	0.2876	0.7589	0.7589
0.7096	2.03	400	0.6791	0.7589	0.2876	0.7589	0.7589
0.6909	2.54	500	0.6780	0.7589	0.2876	0.7589	0.7589
0.6861	3.05	600	0.6779	0.7589	0.2876	0.7589	0.7589
0.6842	3.55	700	0.6773	0.7589	0.2876	0.7589	0.7589
0.6887	4.06	800	0.6764	0.7589	0.2876	0.7589	0.7589
0.6766	4.57	900	0.6803	0.7589	0.2876	0.7589	0.7589
0.6964	5.08	1000	0.6819	0.7589	0.2876	0.7589	0.7589
0.6515	5.58	1100	0.6788	0.7589	0.2876	0.7589	0.7589
0.6608	6.09	1200	0.6864	0.7589	0.2876	0.7589	0.7589
0.6171	6.6	1300	0.6980	0.7589	0.2876	0.7589	0.7589
0.6292	7.11	1400	0.7172	0.7386	0.3119	0.7386	0.7386
0.6015	7.61	1500	0.6988	0.7462	0.3212	0.7462	0.7462
0.6236	8.12	1600	0.7493	0.6954	0.3432	0.6954	0.6954
0.5643	8.63	1700	0.7250	0.7107	0.3466	0.7107	0.7107
0.6134	9.14	1800	0.7561	0.6751	0.3565	0.6751	0.6751
0.5642	9.64	1900	0.7447	0.6827	0.3514	0.6827	0.6827

Framework versions

Transformers 4.21.3
Pytorch 1.8.1+cu111
Datasets 2.4.0
Tokenizers 0.12.1

Task: Audio Classification
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Sep 6, 2022
Updated: Sep 7, 2022