narcissism_binary – AI Model by ajrayman | AlphaNeural AI

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ajrayman/
narcissism_binary

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text-classification

generated_from_trainer

FacebookAI/roberta-large

autotrain_compatible

endpoints_compatible

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narcissism_binary

This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9656
Accuracy: 0.7034
Precision: 0.8052
Recall: 0.5375
F1: 0.6447
Auc: 0.7577

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 1234
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Auc
No log	1.0	117	0.6010	0.6621	0.8916	0.37	0.5230	0.7373
No log	2.0	234	0.5663	0.6984	0.7870	0.545	0.6440	0.7643
No log	3.0	351	0.6275	0.7096	0.7979	0.5625	0.6598	0.7694
No log	4.0	468	0.8468	0.6984	0.8565	0.4775	0.6132	0.7551
0.4623	5.0	585	0.9656	0.7034	0.8052	0.5375	0.6447	0.7577

Framework versions

Transformers 4.44.1
Pytorch 1.11.0
Datasets 2.12.0
Tokenizers 0.19.1