bert-base-uncased-ag-news-finetuned-dwnews-categories

This model is a fine-tuned version of nateraw/bert-base-uncased-ag-news on the None 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	Precision Weighted	Precision Macro	Recall Weighted	Recall Macro	F1 Weighted	F1 Macro
1.8428	0.25	50	1.5099	0.53	0.5008	0.4655	0.53	0.3544	0.4363	0.3246
1.3134	0.5	100	1.2200	0.605	0.4765	0.4247	0.605	0.4681	0.5207	0.4261
1.1562	0.75	150	1.0473	0.68	0.7007	0.6603	0.68	0.5534	0.6483	0.5507
1.0008	1.0	200	0.9491	0.67	0.6281	0.5935	0.67	0.5881	0.6390	0.5778
0.8173	1.25	250	0.9218	0.7	0.7028	0.6599	0.7	0.6694	0.6874	0.6417
0.8385	1.5	300	0.8900	0.715	0.7250	0.7131	0.715	0.6600	0.7059	0.6637
0.6988	1.75	350	0.9198	0.7	0.6941	0.6875	0.7	0.6825	0.6866	0.6704
0.6851	2.0	400	0.8607	0.72	0.7248	0.7310	0.72	0.6978	0.7067	0.6965
0.548	2.25	450	0.8659	0.74	0.7435	0.7557	0.74	0.7304	0.7294	0.7250
0.4898	2.5	500	0.9184	0.73	0.7379	0.7079	0.73	0.7599	0.7229	0.7203
0.5683	2.75	550	0.9207	0.72	0.7188	0.7089	0.72	0.7429	0.7150	0.7195
0.4971	3.0	600	0.9256	0.72	0.7257	0.7104	0.72	0.7384	0.7141	0.7126