Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Binary
No log	0.13	50	4.3839	0.0337	0.0029	0.0337	0.0052	0.2004
No log	0.27	100	4.1179	0.0687	0.0353	0.0687	0.0281	0.3295
No log	0.4	150	3.8682	0.0889	0.0335	0.0889	0.0338	0.3523
No log	0.54	200	3.6594	0.0997	0.0311	0.0997	0.0366	0.3635
No log	0.67	250	3.5084	0.1280	0.0534	0.1280	0.0494	0.3838
No log	0.81	300	3.3946	0.1469	0.0476	0.1469	0.0628	0.3964
No log	0.94	350	3.2570	0.1604	0.0699	0.1604	0.0830	0.4082
3.9151	1.08	400	3.1540	0.1806	0.0844	0.1806	0.0987	0.4224
3.9151	1.21	450	3.0449	0.1846	0.1000	0.1846	0.1005	0.4260
3.9151	1.35	500	2.9543	0.2237	0.1403	0.2237	0.1376	0.4534
3.9151	1.48	550	2.8691	0.2507	0.1621	0.2507	0.1606	0.4706
3.9151	1.62	600	2.7812	0.2493	0.1520	0.2493	0.1592	0.4718
3.9151	1.75	650	2.6598	0.2871	0.1855	0.2871	0.1856	0.4981
3.9151	1.89	700	2.6099	0.2951	0.2123	0.2951	0.2019	0.5047
3.1406	2.02	750	2.5039	0.3235	0.2106	0.3235	0.2230	0.5236
3.1406	2.16	800	2.4359	0.3383	0.2454	0.3383	0.2501	0.5358
3.1406	2.29	850	2.3869	0.3154	0.2329	0.3154	0.2324	0.5179
3.1406	2.43	900	2.3144	0.3612	0.2937	0.3612	0.2798	0.5513
3.1406	2.56	950	2.2470	0.3720	0.3122	0.3720	0.2908	0.5584
3.1406	2.7	1000	2.1944	0.3774	0.3099	0.3774	0.2992	0.5632
3.1406	2.83	1050	2.1421	0.4030	0.3250	0.4030	0.3226	0.5819
3.1406	2.97	1100	2.0630	0.4137	0.3442	0.4137	0.3336	0.5899
2.6974	3.1	1150	2.0115	0.4245	0.3679	0.4245	0.3510	0.5974
2.6974	3.24	1200	1.9716	0.4434	0.3964	0.4434	0.3729	0.6093
2.6974	3.37	1250	1.9255	0.4488	0.3972	0.4488	0.3883	0.6150
2.6974	3.51	1300	1.8715	0.4623	0.4112	0.4623	0.3969	0.6228
2.6974	3.64	1350	1.8223	0.4825	0.4534	0.4825	0.4222	0.6369
2.6974	3.78	1400	1.7951	0.5013	0.4728	0.5013	0.4500	0.6511
2.6974	3.91	1450	1.7427	0.5270	0.4855	0.5270	0.4804	0.6686
2.3963	4.05	1500	1.7319	0.5	0.4618	0.5	0.4452	0.6493
2.3963	4.18	1550	1.7098	0.4960	0.4588	0.4960	0.4454	0.6473
2.3963	4.32	1600	1.6518	0.5310	0.5051	0.5310	0.4855	0.6709
2.3963	4.45	1650	1.6535	0.5067	0.4838	0.5067	0.4552	0.6539
2.3963	4.59	1700	1.6011	0.5539	0.5106	0.5539	0.5061	0.6865
2.3963	4.72	1750	1.5894	0.5404	0.4940	0.5404	0.4923	0.6767
2.3963	4.86	1800	1.5580	0.5660	0.5371	0.5660	0.5285	0.6964
2.3963	4.99	1850	1.5375	0.5431	0.5032	0.5431	0.4968	0.6803
2.1926	5.12	1900	1.5166	0.5620	0.5237	0.5620	0.5193	0.6941
2.1926	5.26	1950	1.5168	0.5526	0.5198	0.5526	0.5085	0.6860
2.1926	5.39	2000	1.4773	0.5836	0.5615	0.5836	0.5455	0.7073
2.1926	5.53	2050	1.4488	0.5782	0.5564	0.5782	0.5396	0.7054
2.1926	5.66	2100	1.4335	0.5916	0.5691	0.5916	0.5560	0.7143
2.1926	5.8	2150	1.4078	0.5957	0.5782	0.5957	0.5641	0.7177
2.1926	5.93	2200	1.4092	0.5863	0.5691	0.5863	0.5506	0.7105
2.0446	6.07	2250	1.3942	0.5755	0.5405	0.5755	0.5334	0.7026
2.0446	6.2	2300	1.3828	0.5930	0.5776	0.5930	0.5613	0.7148
2.0446	6.34	2350	1.3625	0.6065	0.5886	0.6065	0.5688	0.7247
2.0446	6.47	2400	1.3444	0.6119	0.6008	0.6119	0.5754	0.7284
2.0446	6.61	2450	1.3088	0.6267	0.6134	0.6267	0.5914	0.7388
2.0446	6.74	2500	1.3183	0.6038	0.5869	0.6038	0.5729	0.7228
2.0446	6.88	2550	1.3000	0.6173	0.5886	0.6173	0.5810	0.7322
1.9441	7.01	2600	1.2930	0.6213	0.6048	0.6213	0.5900	0.7341
1.9441	7.15	2650	1.2757	0.6226	0.6097	0.6226	0.5959	0.7361
1.9441	7.28	2700	1.2787	0.6226	0.6091	0.6226	0.5963	0.7361
1.9441	7.42	2750	1.2566	0.6240	0.6204	0.6240	0.5983	0.7375
1.9441	7.55	2800	1.2549	0.6253	0.6055	0.6253	0.5970	0.7380
1.9441	7.69	2850	1.2396	0.6240	0.6255	0.6240	0.5954	0.7371
1.9441	7.82	2900	1.2400	0.6388	0.6361	0.6388	0.6128	0.7478
1.9441	7.96	2950	1.2369	0.6294	0.6188	0.6294	0.5996	0.7407
1.8636	8.09	3000	1.2235	0.6375	0.6363	0.6375	0.6151	0.7460
1.8636	8.23	3050	1.2178	0.6456	0.6415	0.6456	0.6196	0.7520
1.8636	8.36	3100	1.2093	0.6402	0.6346	0.6402	0.6149	0.7482
1.8636	8.5	3150	1.2210	0.6402	0.6291	0.6402	0.6137	0.7478

Framework versions

Transformers 4.38.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.15.1

fydhfzh/sewd-classifier-aug-ref

sewd-classifier-aug-ref

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

fydhfzh/
sewd-classifier-aug-ref