ensemble_olid_128mem_test

iTroned/ensemble_olid_128mem_test

ensemble_olid_128mem_test is a machine learning model from iTroned. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

Downloads · 30 days

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Public

Updated Mar 18, 2025

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646M

23.3 GB on disk

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Hugging Face

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At a glance

Library: transformers
Access: Public
Created: Mar 17, 2025
Updated: Mar 18, 2025
SHA: e9ad748b

Model card

From the Hugging Face model README

ensemble_olid_128mem_test

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

Loss: 0.1761
Accuracy Offensive: 0.9524
F1 Offensive: 0.9514
Accuracy Targeted: 0.9524
F1 Targeted: 0.9382
Accuracy Stance: 0.9418
F1 Stance: 0.9316

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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Offensive	Accuracy Targeted	F1 Targeted	Accuracy Stance	F1 Stance
0.2526	1.0	1490	0.1761	0.9524	0.9514	0.9524	0.9382	0.9418	0.9316
0.1601	2.0	2980	0.1973	0.9517	0.9509	0.9524	0.9438	0.9456	0.9368
0.1207	3.0	4470	0.2041	0.9524	0.9520	0.9524	0.9479	0.9456	0.9382

Framework versions

Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1

Library: transformers
Created: Mar 17, 2025
Updated: Mar 18, 2025