fold_13 – AI Model by Amna100 | AlphaNeural AI

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Amna100/
fold_13

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token-classification

generated_from_trainer

Amna100/PreTraining-MLM

autotrain_compatible

endpoints_compatible

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fold_13

This model is a fine-tuned version of Amna100/PreTraining-MLM on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0130
Precision: 0.6241
Recall: 0.6471
F1: 0.6354
Accuracy: 0.9992
Roc Auc: 0.9941
Pr Auc: 0.9998

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: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy	Roc Auc	Pr Auc
0.0315	1.0	632	0.0130	0.6241	0.6471	0.6354	0.9992	0.9941	0.9998
0.0103	2.0	1264	0.0131	0.7550	0.5588	0.6423	0.9992	0.9941	0.9998
0.0065	3.0	1896	0.0140	0.7949	0.6078	0.6889	0.9993	0.9936	0.9998
0.0022	4.0	2528	0.0160	0.7875	0.6814	0.7306	0.9994	0.9901	0.9997

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1