distilbert_finetuned_fake_news – AI Model by Soona | AlphaNeural AI

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Soona/
distilbert_finetuned_fake_news

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert_finetuned_fake_news

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0295
Accuracy: 0.9872

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: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.07	100	0.0971	0.9809
No log	0.13	200	0.0419	0.9808
No log	0.2	300	0.0531	0.9772
No log	0.26	400	0.0459	0.9807
0.1424	0.33	500	0.0400	0.9799
0.1424	0.39	600	0.0395	0.9804
0.1424	0.46	700	0.0444	0.9770
0.1424	0.53	800	0.0455	0.9824
0.1424	0.59	900	0.0326	0.9837
0.0419	0.66	1000	0.0456	0.9852
0.0419	0.72	1100	0.0357	0.9850
0.0419	0.79	1200	0.0327	0.9871
0.0419	0.85	1300	0.0309	0.9874
0.0419	0.92	1400	0.0309	0.9869
0.0334	0.98	1500	0.0295	0.9872

Framework versions

Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2