ModernBERT-large_v3

aiface/ModernBERT-large_v3

ModernBERT-large_v3 is a text classification model from aiface. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: modernbert
Access: Public
Created: Aug 13, 2025
Updated: Aug 13, 2025
SHA: 8ef386ff

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Base models

answerdotai/ModernBERT-large

Model card

From the Hugging Face model README

ModernBERT-large_v3

This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8266
Accuracy: 0.9109
Precision Macro: 0.7681
Recall Macro: 0.7438
F1 Macro: 0.7542
F1 Weighted: 0.9084

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision Macro	Recall Macro	F1 Macro	F1 Weighted
0.9719	1.0	179	0.4542	0.8484	0.7048	0.5982	0.5951	0.8301
0.6216	2.0	358	0.3472	0.8819	0.8897	0.6468	0.6648	0.8674
0.5377	3.0	537	0.3063	0.8926	0.7740	0.7326	0.7477	0.8893
0.4253	4.0	716	0.2703	0.9109	0.8330	0.7357	0.7651	0.9053
0.3699	5.0	895	0.2795	0.9090	0.7756	0.7968	0.7850	0.9107
0.2003	6.0	1074	0.3297	0.9128	0.8225	0.7620	0.7848	0.9094
0.1596	7.0	1253	0.3799	0.9097	0.7673	0.7805	0.7734	0.9109
0.0876	8.0	1432	0.5013	0.9236	0.8343	0.7899	0.8084	0.9214
0.0598	9.0	1611	0.5279	0.9185	0.8126	0.7621	0.7815	0.9152
0.054	10.0	1790	0.5909	0.9109	0.7998	0.7728	0.7847	0.9092
0.0419	11.0	1969	0.7661	0.9141	0.7877	0.7427	0.7594	0.9102
0.0108	12.0	2148	0.9184	0.9185	0.8260	0.7337	0.7601	0.9122
0.0177	13.0	2327	0.8254	0.9128	0.7820	0.7494	0.7628	0.9099
0.0013	14.0	2506	0.8059	0.9103	0.7741	0.7391	0.7531	0.9069
0.0019	15.0	2685	0.8174	0.9078	0.7620	0.7502	0.7556	0.9065
0.0028	16.0	2864	0.8202	0.9109	0.7704	0.7438	0.7550	0.9082
0.0	17.0	3043	0.8126	0.9103	0.7678	0.7433	0.7537	0.9078
0.0008	18.0	3222	0.8319	0.9109	0.7734	0.7482	0.7589	0.9085
0.0	19.0	3401	0.8245	0.9116	0.7686	0.7443	0.7546	0.9090
0.0001	20.0	3580	0.8266	0.9109	0.7681	0.7438	0.7542	0.9084

Framework versions

Transformers 4.55.0
Pytorch 2.7.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4

Task: Text Classification
Library: transformers
Type: modernbert
License: apache-2.0
Created: Aug 13, 2025
Updated: Aug 13, 2025