Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.5687	0.11	50	2.1779	0.1200	0.0687	0.0913	0.0550
1.1872	0.22	100	1.1610	0.6475	0.4010	0.4470	0.3901
0.6574	0.33	150	0.9675	0.6300	0.3389	0.4603	0.3683
0.548	0.44	200	0.6524	0.8165	0.5001	0.4898	0.5117
0.3506	0.55	250	0.6884	0.7985	0.5037	0.6467	0.5073
0.3233	0.66	300	0.5294	0.8553	0.5177	0.5012	0.5353
0.3211	0.76	350	0.5028	0.8553	0.5989	0.5974	0.6058
0.2611	0.87	400	0.7703	0.8387	0.6148	0.5917	0.6521
0.3259	0.98	450	0.6041	0.8335	0.6121	0.5925	0.6442
0.2196	1.09	500	0.5109	0.8737	0.6300	0.6026	0.6665
0.1712	1.2	550	0.6030	0.8488	0.6231	0.7507	0.6528
0.175	1.31	600	0.5176	0.8783	0.6549	0.7620	0.6752
0.257	1.42	650	0.3901	0.8873	0.6462	0.7626	0.6783
0.1759	1.53	700	0.4053	0.8955	0.6774	0.7709	0.6947
0.1309	1.64	750	0.3624	0.9251	0.7857	0.7883	0.7927
0.2394	1.75	800	0.3332	0.9171	0.7749	0.7751	0.7848
0.165	1.86	850	0.6878	0.8510	0.6446	0.6970	0.6394
0.1421	1.97	900	0.3987	0.8718	0.6345	0.7590	0.6170
0.1361	2.07	950	0.3393	0.9253	0.7738	0.7734	0.7872
0.1292	2.18	1000	0.3194	0.9300	0.8017	0.8128	0.7930
0.0754	2.29	1050	0.3485	0.9245	0.7871	0.7842	0.8006
0.1345	2.4	1100	0.2564	0.9387	0.8022	0.7974	0.8104
0.0593	2.51	1150	0.2132	0.9541	0.8159	0.8222	0.8109
0.1019	2.62	1200	0.2234	0.9472	0.8070	0.8044	0.8127
0.0735	2.73	1250	0.2183	0.9535	0.8155	0.8250	0.8072
0.113	2.84	1300	0.2716	0.9128	0.7208	0.8006	0.7118
0.0838	2.95	1350	0.2957	0.9330	0.7999	0.7929	0.8128
0.0797	3.06	1400	0.2758	0.9437	0.8075	0.8117	0.8058
0.0612	3.17	1450	0.2450	0.9139	0.7200	0.7983	0.7140
0.0492	3.28	1500	0.2501	0.9480	0.8089	0.8089	0.8118
0.0294	3.38	1550	0.2745	0.9374	0.8035	0.8011	0.8084
0.0248	3.49	1600	0.2561	0.9434	0.8099	0.8073	0.8144
0.0621	3.6	1650	0.2312	0.9491	0.8135	0.8190	0.8094
0.0541	3.71	1700	0.2512	0.9472	0.8140	0.8177	0.8119
0.0509	3.82	1750	0.2195	0.9516	0.8145	0.8173	0.8125
0.0452	3.93	1800	0.2418	0.9480	0.8140	0.8175	0.8120

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

AmirlyPhd/V10-distilbert-text-classification-model

V10-distilbert-text-classification-model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AmirlyPhd/
V10-distilbert-text-classification-model