olid_expanded_v0 – AI Model by iTroned | AlphaNeural AI

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iTroned/
olid_expanded_v0

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google-bert/bert-base-uncased

endpoints_compatible

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olid_expanded_v0

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

Loss: 0.1228
Accuracy Offensive: 0.9736
F1 Offensive: 0.9736
Accuracy Targeted: 0.9743
F1 Targeted: 0.9735
Accuracy Stance: 0.9260
F1 Stance: 0.9140

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: 32
eval_batch_size: 32
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
No log	1.0	373	0.2718	0.9585	0.9583	0.9434	0.9267	0.8648	0.8213
0.4125	2.0	746	0.1514	0.9773	0.9773	0.9751	0.9724	0.9282	0.9163
0.1725	3.0	1119	0.1340	0.9698	0.9698	0.9705	0.9713	0.9282	0.9170
0.1725	4.0	1492	0.1228	0.9736	0.9736	0.9743	0.9735	0.9260	0.9140
0.1118	5.0	1865	0.1413	0.9607	0.9609	0.9645	0.9657	0.9298	0.9186
0.0727	6.0	2238	0.1453	0.9690	0.9691	0.9705	0.9707	0.9252	0.9143

Framework versions

Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1