mms_severity_classifier

resproj007/mms_severity_classifier

mms_severity_classifier is a audio classification model from resproj007. 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 cc-by-nc-4.0.

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

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At a glance

Task: Audio Classification
Library: transformers
License: cc-by-nc-4.0
Model type: wav2vec2
Access: Public
Created: Feb 25, 2026
Updated: Feb 25, 2026
SHA: efbfbd00

Base models

facebook/mms-1b-all

Model card

From the Hugging Face model README

mms_severity_classifier

This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0834
Accuracy: 0.9787
F1 Macro: 0.9750
F1 Weighted: 0.9786
F1 Mild: 0.9581
F1 Moderate: 0.9812
F1 Normal: 0.9719
F1 Severe: 0.9886

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Weighted	F1 Mild	F1 Moderate	F1 Normal	F1 Severe
0.3997	1.0	1210	0.3725	0.8652	0.8510	0.8637	0.7821	0.8791	0.8618	0.8809
0.1947	2.0	2420	0.2191	0.9193	0.9067	0.9195	0.8594	0.9330	0.8828	0.9517
0.1382	3.0	3630	0.1758	0.9433	0.9336	0.9432	0.8950	0.9519	0.9185	0.9690
0.1204	4.0	4840	0.1432	0.9573	0.9517	0.9575	0.9365	0.9653	0.9324	0.9726
0.0815	5.0	6050	0.0922	0.9726	0.9699	0.9727	0.9639	0.9748	0.9567	0.9841
0.0647	6.0	7260	0.0896	0.9753	0.9710	0.9753	0.9561	0.9819	0.9632	0.9829
0.0864	7.0	8470	0.1191	0.9726	0.9699	0.9726	0.9581	0.9734	0.9652	0.9829
0.0243	8.0	9680	0.0870	0.9787	0.9776	0.9787	0.9821	0.9810	0.9635	0.9840
0.0455	9.0	10890	0.0909	0.9760	0.9715	0.9759	0.9501	0.9795	0.9701	0.9863
0.0452	10.0	12100	0.0834	0.9787	0.9750	0.9786	0.9581	0.9812	0.9719	0.9886

Framework versions

Transformers 4.57.6
Pytorch 2.8.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2

Task: Audio Classification
Library: transformers
Type: wav2vec2
License: cc-by-nc-4.0
Created: Feb 25, 2026
Updated: Feb 25, 2026