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alexgshaw/
hyperpartisan-classifier

Name: hyperpartisan-classifier
Rating: 2.5 (9 reviews)

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hyperpartisan_news_detection

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hyperpartisan-classifier

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

Loss: 0.0036
Accuracy: 0.9988

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
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	Accuracy
0.1441	0.11	1000	0.1391	0.9453
0.1248	0.21	2000	0.1042	0.9595
0.1027	0.32	3000	0.0913	0.9647
0.0928	0.43	4000	0.0827	0.9688
0.0992	0.53	5000	0.0799	0.9698
0.0881	0.64	6000	0.0710	0.9741
0.078	0.75	7000	0.0640	0.9762
0.0708	0.85	8000	0.0626	0.9764
0.0696	0.96	9000	0.0564	0.9792
0.0586	1.07	10000	0.0516	0.9813
0.0558	1.17	11000	0.0507	0.9815
0.0531	1.28	12000	0.0463	0.9829
0.0585	1.39	13000	0.0468	0.9831
0.0488	1.49	14000	0.0403	0.9854
0.057	1.6	15000	0.0393	0.9865
0.0514	1.71	16000	0.0349	0.9879
0.052	1.81	17000	0.0366	0.9868
0.0572	1.92	18000	0.0300	0.9895
0.0311	2.03	19000	0.0309	0.9893
0.0332	2.13	20000	0.0262	0.9908
0.0396	2.24	21000	0.0250	0.9914
0.0314	2.35	22000	0.0223	0.9924
0.0361	2.45	23000	0.0236	0.9919
0.0289	2.56	24000	0.0197	0.9933
0.0322	2.67	25000	0.0182	0.9939
0.0416	2.77	26000	0.0183	0.9937
0.0273	2.88	27000	0.0159	0.9946
0.0317	2.99	28000	0.0152	0.9949
0.0203	3.09	29000	0.0132	0.9957
0.0182	3.2	30000	0.0146	0.9953
0.0165	3.31	31000	0.0123	0.9961
0.0184	3.41	32000	0.0105	0.9968
0.0208	3.52	33000	0.0103	0.9967
0.0187	3.63	34000	0.0083	0.9973
0.0183	3.73	35000	0.0076	0.9977
0.0258	3.84	36000	0.0073	0.9977
0.0114	3.95	37000	0.0066	0.9979
0.007	4.05	38000	0.0052	0.9983
0.0094	4.16	39000	0.0061	0.9981
0.0106	4.27	40000	0.0053	0.9983
0.0134	4.37	41000	0.0052	0.9984
0.0087	4.48	42000	0.0040	0.9987
0.018	4.59	43000	0.0047	0.9985
0.0118	4.69	44000	0.0041	0.9987
0.012	4.8	45000	0.0038	0.9988
0.0165	4.91	46000	0.0036	0.9988

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

alexgshaw/hyperpartisan-classifier

hyperpartisan-classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

alexgshaw/
hyperpartisan-classifier