fatimah_fake_news_bert – AI Model by yinde | AlphaNeural AI

You can deploy this model and start earning money today!

yinde/
fatimah_fake_news_bert

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

fatimah_fake_news_bert

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on Fake and real dataset on kaggle It achieves the following results on the evaluation set:

Loss: 0.0010
Accuracy: 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: 10
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3298	0.06	200	0.0094	0.9987
0.0087	0.11	400	0.0091	0.9988
0.0126	0.17	600	0.0132	0.9965
0.0081	0.22	800	0.0100	0.9987
0.0132	0.28	1000	0.0086	0.9990
0.0131	0.33	1200	0.0070	0.9986
0.0086	0.39	1400	0.0079	0.9990
0.0041	0.45	1600	0.0057	0.9991
0.0069	0.5	1800	0.0083	0.9989
0.0052	0.56	2000	0.0043	0.9993
0.0	0.61	2200	0.0047	0.9993
0.003	0.67	2400	0.0052	0.9994
0.0126	0.72	2600	0.0028	0.9997
0.0047	0.78	2800	0.0018	0.9996
0.0	0.84	3000	0.0027	0.9996
0.0001	0.89	3200	0.0029	0.9996
0.0079	0.95	3400	0.0010	0.9998

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6