EuroBERT-immigration-stance-neutral

luissattelmayer/EuroBERT-immigration-stance-neutral

EuroBERT-immigration-stance-neutral is a text classification model from luissattelmayer. 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: eurobert
Access: Public
Created: Mar 24, 2025
Updated: Mar 25, 2025
SHA: 2a034eba

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Base models

EuroBERT/EuroBERT-210m

Model card

From the Hugging Face model README

EuroBERT-immigration-stance-neutral

This model is a fine-tuned version of EuroBERT/EuroBERT-210m on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3840
Accuracy: 0.8298
F1 Macro: 0.8281
Accuracy Balanced: 0.8268
F1 Micro: 0.8298
Precision Macro: 0.8314
Recall Macro: 0.8268
Precision Micro: 0.8298
Recall Micro: 0.8298

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: 2e-05
train_batch_size: 4
eval_batch_size: 40
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.06
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Accuracy Balanced	F1 Micro	Precision Macro	Recall Macro	Precision Micro	Recall Micro
0.7142	1.0	605	1.2430	0.6860	0.6762	0.7000	0.6860	0.7398	0.7000	0.6860	0.6860
0.6286	2.0	1210	0.6901	0.5256	0.3507	0.4942	0.5256	0.3897	0.4942	0.5256	0.5256
0.6978	3.0	1815	0.8429	0.7785	0.7779	0.7784	0.7785	0.7777	0.7784	0.7785	0.7785
0.4281	4.0	2420	1.2471	0.7901	0.7865	0.7850	0.7901	0.7949	0.7850	0.7901	0.7901
0.1542	5.0	3025	1.3219	0.8099	0.8073	0.8058	0.8099	0.8133	0.8058	0.8099	0.8099
0.0797	6.0	3630	2.2835	0.7802	0.7787	0.7888	0.7802	0.8036	0.7888	0.7802	0.7802
0.0633	7.0	4235	1.2912	0.8364	0.8352	0.8345	0.8364	0.8365	0.8345	0.8364	0.8364
0.0558	8.0	4840	1.5358	0.8099	0.8067	0.8050	0.8099	0.8155	0.8050	0.8099	0.8099
0.0639	9.0	5445	1.3711	0.8182	0.8153	0.8136	0.8182	0.8231	0.8136	0.8182	0.8182
0.0335	10.0	6050	1.3840	0.8298	0.8281	0.8268	0.8298	0.8314	0.8268	0.8298	0.8298

Framework versions

Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1

Task: Text Classification
Library: transformers
Type: eurobert
License: apache-2.0
Created: Mar 24, 2025
Updated: Mar 25, 2025