EDAnonymousvsN – AI Model by Phoshco | AlphaNeural AI

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Phoshco/
EDAnonymousvsN

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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EDAnonymousvsN

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: 0.4876
F1: 0.8914
Roc Auc: 0.8899
Accuracy: 0.8914

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.3665	1.0	875	0.3116	0.889	0.8858	0.889
0.253	2.0	1750	0.2832	0.8884	0.8866	0.8884
0.2082	3.0	2625	0.3573	0.8934	0.8915	0.8934
0.1422	4.0	3500	0.4506	0.8932	0.8926	0.8932
0.0953	5.0	4375	0.4876	0.8914	0.8899	0.8914

Framework versions

Transformers 4.27.3
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2