AntiIsraelBERT

mr-rov/AntiIsraelBERT

AntiIsraelBERT is a machine learning model from mr-rov. 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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At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Aug 10, 2024
Updated: Apr 21, 2025
SHA: 40b958f7

Base models

Model card

From the Hugging Face model README

AntiIsraelBERT

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3801
Accuracy: 0.8417
F1: 0.8571
Precision: 0.8143
Recall: 0.9048

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	90	0.3758	0.8333	0.8540	0.7697	0.9590
No log	2.0	180	0.3031	0.8542	0.8679	0.8042	0.9426
No log	3.0	270	0.3224	0.8792	0.8880	0.8394	0.9426
No log	4.0	360	0.4631	0.8667	0.8788	0.8169	0.9508
No log	5.0	450	0.3999	0.9042	0.9076	0.8898	0.9262
0.2639	6.0	540	0.6296	0.875	0.8864	0.8239	0.9590
0.2639	7.0	630	0.6210	0.8667	0.8769	0.8261	0.9344

Framework versions

Transformers 4.36.1
Pytorch 2.0.1+cu117
Datasets 2.19.2
Tokenizers 0.15.0

Type: bert
License: apache-2.0
Created: Aug 10, 2024
Updated: Apr 21, 2025