fold_3 – AI Model by Amna100 | AlphaNeural AI

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Amna100/
fold_3

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token-classification

generated_from_trainer

Amna100/PreTraining-MLM

autotrain_compatible

endpoints_compatible

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fold_3

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: 0.0104
Precision: 0.6792
Recall: 0.5870
F1: 0.6297
Accuracy: 0.9993
Roc Auc: 0.9967
Pr Auc: 0.9999

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy	Roc Auc	Pr Auc
0.0252	1.0	711	0.0159	0.4538	0.6413	0.5315	0.9988	0.9944	0.9998
0.0095	2.0	1422	0.0104	0.6792	0.5870	0.6297	0.9993	0.9967	0.9999
0.003	3.0	2133	0.0106	0.6432	0.6957	0.6684	0.9993	0.9973	0.9999
0.0024	4.0	2844	0.0126	0.7006	0.6739	0.6870	0.9994	0.9960	0.9999
0.0004	5.0	3555	0.0148	0.7239	0.6413	0.6801	0.9994	0.9954	0.9999

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1