fold_5 – AI Model by Amna100 | AlphaNeural AI

You can deploy this model and start earning money today!

Amna100/
fold_5

like

0

token-classification

generated_from_trainer

Amna100/PreTraining-MLM

autotrain_compatible

endpoints_compatible

Views

No views yet

Visualize in Weights & Biases

Visualize in Weights & Biases

Visualize in Weights & Biases

Visualize in Weights & Biases

Visualize in Weights & Biases

Visualize in Weights & Biases

fold_5

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: 0.0105
Precision: 0.7304
Recall: 0.6036
F1: 0.6610
Accuracy: 0.9993
Roc Auc: 0.9957
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy	Roc Auc	Pr Auc
0.0252	1.0	632	0.0112	0.5890	0.5570	0.5726	0.9991	0.9975	0.9999
0.0105	2.0	1264	0.0105	0.7304	0.6036	0.6610	0.9993	0.9957	0.9999
0.0061	3.0	1896	0.0107	0.6488	0.7228	0.6838	0.9993	0.9956	0.9999
0.0027	4.0	2528	0.0114	0.7023	0.6969	0.6996	0.9993	0.9967	0.9999
0.0012	5.0	3160	0.0136	0.7841	0.6399	0.7047	0.9994	0.9945	0.9999

Framework versions

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