Benign10MGPT2_fromB_BFall_40KGen_toP_0.75 – AI Model by AustinCarthy | AlphaNeural AI

You can deploy this model and start earning money today!

AustinCarthy/
Benign10MGPT2_fromB_BFall_40KGen_toP_0.75

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

Benign10MGPT2_fromB_BFall_40KGen_toP_0.75

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1061
Accuracy: 0.9824
F1: 0.7918
Precision: 0.9034
Recall: 0.7048
Roc Auc Score: 0.8505
Tpr At Fpr 0.01: 0.0

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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc Score	Tpr At Fpr 0.01
0.0873	1.0	32813	0.0943	0.9790	0.7389	0.9064	0.6236	0.8102	0.19
0.0715	2.0	65626	0.0807	0.9817	0.7803	0.9099	0.683	0.8398	0.4716
0.0501	3.0	98439	0.0727	0.9834	0.8103	0.8917	0.7426	0.8690	0.0
0.0436	4.0	131252	0.0833	0.9843	0.8217	0.8976	0.7576	0.8766	0.0
0.0292	5.0	164065	0.1061	0.9824	0.7918	0.9034	0.7048	0.8505	0.0

Framework versions

Transformers 4.29.1
Pytorch 1.9.0+cu111
Datasets 2.10.1
Tokenizers 0.13.2