BERT_Text_classification_noisy

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

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.7338	0.24	50	1.4138	0.7076	0.6300	0.5892	0.6828
0.9336	0.48	100	0.5276	0.8361	0.8305	0.8407	0.8303
0.5885	0.71	150	0.4815	0.8603	0.8541	0.8583	0.8525
0.6172	0.95	200	0.5176	0.8777	0.8648	0.8712	0.8664
0.5229	1.19	250	0.4818	0.8809	0.8709	0.8769	0.8707
0.4757	1.43	300	0.4845	0.8827	0.8720	0.8786	0.8722
0.4286	1.67	350	0.4231	0.8854	0.8759	0.8776	0.8758
0.4837	1.9	400	0.4763	0.8907	0.8794	0.8864	0.8799
0.4031	2.14	450	0.4539	0.8880	0.8766	0.8833	0.8773
0.4305	2.38	500	0.4775	0.8858	0.8752	0.8806	0.8755
0.3538	2.62	550	0.4863	0.8880	0.8771	0.8853	0.8776
0.325	2.86	600	0.4823	0.8880	0.8776	0.8835	0.8779

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