distilbert-scam-classification-fine-tuned-elder – AI Model by autobio | AlphaNeural AI

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distilbert-scam-classification-fine-tuned-elder

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text-classification

generated_from_trainer

BothBosu/distilbert-scam-classification-v1

autotrain_compatible

endpoints_compatible

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distilbert-scam-classification-fine-tuned-elder

This model is a fine-tuned version of BothBosu/distilbert-scam-classification-v1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6626
Accuracy: 0.925
Precision: 0.8889
Recall: 0.9412
F1: 0.9143

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: 0.004
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0	6.6667	20	1.8102	0.9	0.8421	0.9412	0.8889
0.0	13.3333	40	1.7751	0.9	0.8421	0.9412	0.8889
0.0	20.0	60	1.7390	0.9	0.8421	0.9412	0.8889
0.0	26.6667	80	1.7140	0.925	0.8889	0.9412	0.9143
0.0	33.3333	100	1.7016	0.925	0.8889	0.9412	0.9143
0.0	40.0	120	1.6990	0.925	0.8889	0.9412	0.9143
0.0	46.6667	140	1.6819	0.925	0.8889	0.9412	0.9143
0.0	53.3333	160	1.6602	0.925	0.8889	0.9412	0.9143
0.0	60.0	180	1.6626	0.925	0.8889	0.9412	0.9143
0.0	66.6667	200	1.6626	0.925	0.8889	0.9412	0.9143

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1