learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 1	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Shirt, blouse	Mar 100 Shirt, blouse	Map Top, t-shirt, sweatshirt	Mar 100 Top, t-shirt, sweatshirt	Mar 100 Coat	Map Dress	Mar 100 Dress	Map Leg warmer	Mar 100 Leg warmer	Map Sock	Mar 100 Sock	Map Shoe	Mar 100 Shoe	Map Bag, wallet	Mar 100 Bag, wallet	Map Epaulette	Mar 100 Epaulette	Map Sleeve	Mar 100 Sleeve	Map Pocket	Mar 100 Pocket	Map Applique	Mar 100 Applique	Map Bead	Mar 100 Bead	Map Ruffle	Mar 100 Ruffle	Map Sequin	Mar 100 Sequin	Map Tassel	Mar 100 Tassel
6.151	0.5	50	6.2529	0.0124	0.0	0.0001	0.0	0.0	0.0	0.0001	0.0002	0.0025	0.0064	0.0002	0.0039	0.0148	0.0	0.0	0.0004	0.0467	0.0571	0.0003	0.0612	-1.0	-1.0	0.0	0.0	0.0001	0.0157	0.0001	0.0826	0.0	0.0	0.0	0.0009	0.0	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0
6.5354	1.0	100	5.5728	0.0124	0.0001	0.0003	0.0001	0.0001	0.0003	0.0001	0.0006	0.0021	0.004	0.0023	0.0064	0.0037	0.0	0.0	0.0007	0.0667	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0043	0.0955	0.0	0.0	0.0	0.0	0.0	0.0009	0.0	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0
4.9315	1.5	150	4.9862	0.0124	0.0002	0.0007	0.0001	0.0005	0.0005	0.0001	0.001	0.007	0.0114	0.0069	0.0204	0.0064	0.0004	0.02	0.0014	0.1167	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0078	0.3052	0.0	0.0174	0.0	0.0	0.0	0.0096	0.0	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0
4.4734	2.0	200	4.3909	0.0124	0.0005	0.0013	0.0003	0.0013	0.0009	0.0001	0.0014	0.0069	0.0102	0.0101	0.0182	0.0017	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0196	0.3746	0.0	0.0	0.0	0.0	0.0003	0.0443	0.0	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0	0.0
3.8903	2.5	250	4.0256	0.0124	0.0006	0.0017	0.0003	0.0011	0.0011	0.0001	0.0018	0.0073	0.0115	0.0095	0.0209	0.0037	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0239	0.394	0.0	0.0	0.0	0.0	0.0007	0.0765	0.0	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0	0.0
4.134	3.0	300	3.7973	0.0124	0.0009	0.0026	0.0004	0.0016	0.0015	0.0003	0.0025	0.008	0.0107	0.0094	0.0191	0.0025	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0356	0.3657	0.0	0.0	0.0	0.0	0.0011	0.0748	0.0	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0	0.0
3.3223	3.5	350	3.6230	0.0124	0.0011	0.0025	0.0009	0.0024	0.0017	0.0002	0.0024	0.0084	0.0115	0.0099	0.0186	0.0087	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0428	0.3276	0.0	0.0	0.0	0.0	0.0022	0.1452	0.0	0.0	0.0	0.0	-1.0	-1.0	0.0	0.0	0.0	0.0
3.8292	4.0	400	3.5537	0.0124	0.0012	0.0028	0.0009	0.0018	0.0018	0.0001	0.0024	0.0083	0.0109	0.0118	0.0175	0.0033	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.047	0.3754	0.0	0.0	0.0	0.0	0.0008	0.0713	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
4.3096	4.5	450	3.4566	0.0124	0.0012	0.0033	0.0006	0.0027	0.0018	0.0002	0.0027	0.0085	0.0111	0.0098	0.0179	0.007	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0488	0.3209	0.0	0.0	0.0	0.0	0.0017	0.133	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
3.7201	5.0	500	3.3342	0.0124	0.0013	0.0035	0.0007	0.0019	0.0021	0.0004	0.0024	0.0102	0.0141	0.0121	0.0231	0.0107	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0528	0.4284	0.0	0.0	0.0	0.0	0.0023	0.1513	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
3.8089	5.5	550	3.2387	0.0124	0.0019	0.0047	0.0014	0.0023	0.0032	0.0005	0.0029	0.0119	0.0159	0.0124	0.0255	0.0149	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0744	0.4269	0.0	0.0	0.0	0.0	0.0041	0.2252	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2.4317	6.0	600	3.2248	0.0124	0.0017	0.0043	0.001	0.0022	0.0027	0.0003	0.0021	0.0121	0.0162	0.0152	0.0265	0.0149	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.063	0.4187	0.0	0.0	0.0	0.0	0.0048	0.2461	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
3.5663	6.5	650	3.2108	0.0124	0.002	0.0052	0.001	0.0021	0.0037	0.0003	0.0027	0.0117	0.0169	0.0143	0.0278	0.0165	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0756	0.4112	0.0	0.0	0.0	0.0	0.0053	0.2826	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
3.3771	7.0	700	3.1788	0.0124	0.0024	0.0061	0.0013	0.0025	0.0048	0.0004	0.0037	0.0117	0.017	0.0134	0.0282	0.0128	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0937	0.4239	0.0	0.0	0.0	0.0	0.0051	0.2713	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
3.0818	7.5	750	3.1503	0.0124	0.0022	0.0051	0.0016	0.002	0.005	0.0002	0.0033	0.013	0.0183	0.0176	0.0293	0.0153	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0838	0.4552	0.0	0.0	0.0	0.0	0.0071	0.2957	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
3.246	8.0	800	3.1266	0.0124	0.0027	0.0064	0.0017	0.0026	0.0055	0.0002	0.0032	0.0132	0.0188	0.0169	0.0302	0.0165	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1021	0.4448	0.0	0.0	0.0	0.0	0.0087	0.3278	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
3.1945	8.5	850	3.0969	0.0124	0.0029	0.0067	0.0019	0.0029	0.0059	0.0002	0.0036	0.015	0.0203	0.0176	0.033	0.0182	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1093	0.4709	0.0	0.0	0.0	0.0	0.0114	0.3617	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2.9341	9.0	900	3.0639	0.0124	0.003	0.0068	0.0023	0.0036	0.0056	0.0004	0.0031	0.0137	0.0191	0.0149	0.0313	0.0128	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1145	0.4388	0.0	0.0	0.0	0.0	0.0083	0.3435	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2.9812	9.5	950	3.0263	0.0124	0.0028	0.0066	0.0017	0.003	0.0057	0.0004	0.0039	0.014	0.0197	0.0156	0.0332	0.0165	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1028	0.4425	0.0	0.0	0.0	0.0	0.0091	0.3504	0.0	0.0	0.0049	0.0159	0.0	0.0	0.0	0.0
2.8798	10.0	1000	2.9767	0.0124	0.003	0.0068	0.0022	0.003	0.0066	0.0003	0.0034	0.0145	0.021	0.0159	0.0343	0.0186	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1096	0.4619	0.0	0.0	0.0	0.0	0.0119	0.3965	0.0	0.0	0.0003	0.0016	0.0	0.0	0.0	0.0
2.8805	10.5	1050	2.9619	0.0124	0.0032	0.0075	0.0026	0.0042	0.0065	0.0002	0.0038	0.0157	0.0227	0.0201	0.0366	0.0178	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1099	0.4866	0.0	0.0	0.0	0.0	0.0145	0.4183	0.0	0.0	0.0085	0.0254	0.0	0.0	0.0	0.0
3.0194	11.0	1100	2.9846	0.0124	0.0028	0.007	0.0022	0.0027	0.0059	0.0002	0.0042	0.0147	0.019	0.0131	0.0325	0.0174	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0963	0.4299	0.0	0.0	0.0	0.0	0.0137	0.34	0.0	0.0	0.0059	0.0095	0.0	0.0	0.0	0.0
3.6797	11.5	1150	2.9331	0.0124	0.0034	0.0079	0.0025	0.0033	0.0082	0.0003	0.005	0.017	0.0224	0.0182	0.0385	0.0169	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1041	0.4642	0.0	0.0	0.0	0.0	0.0174	0.3957	0.0	0.0	0.0187	0.0571	0.0	0.0	0.0	0.0
3.6285	12.0	1200	2.9318	0.0124	0.0034	0.008	0.0029	0.0036	0.0082	0.0002	0.0051	0.018	0.0233	0.0185	0.0396	0.0165	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1084	0.5119	0.0	0.0	0.0	0.0	0.0161	0.3678	0.0	0.0	0.0165	0.0746	0.0	0.0	0.0	0.0
3.1858	12.5	1250	2.9115	0.0124	0.0035	0.0077	0.0028	0.0039	0.0073	0.0002	0.005	0.0189	0.024	0.0191	0.0404	0.0202	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1128	0.4896	0.0	0.0	0.0	0.0	0.0193	0.4043	0.0	0.0	0.0106	0.0889	0.0	0.0	0.0	0.0
3.5477	13.0	1300	2.9734	0.0124	0.0043	0.0093	0.0037	0.0043	0.0088	0.0002	0.0059	0.0175	0.0219	0.02	0.0361	0.0227	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1287	0.4813	0.0	0.0	0.0	0.0	0.0297	0.3661	0.0	0.0	0.0166	0.0508	0.0	0.0	0.0	0.0
2.6609	13.5	1350	2.8948	0.0124	0.0038	0.009	0.0029	0.0039	0.0076	0.0003	0.0057	0.0191	0.0242	0.0204	0.0397	0.0236	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1142	0.4993	0.0	0.0	0.0	0.0	0.0259	0.407	0.0	0.0	0.0141	0.0857	0.0	0.0	0.0	0.0
2.1238	14.0	1400	2.8598	0.0124	0.004	0.0097	0.003	0.0039	0.0069	0.0009	0.006	0.0198	0.0245	0.021	0.0401	0.0224	0.0	0.0	0.0	0.0	0.0	0.0153	0.0184	0.0	0.0	0.1103	0.5164	0.0	0.0	0.0	0.0	0.0249	0.3843	0.0	0.0	0.0135	0.0841	0.0	0.0	0.0	0.0
2.5572	14.5	1450	2.8251	0.0124	0.0039	0.0093	0.0026	0.0039	0.007	0.0008	0.0054	0.0201	0.025	0.0225	0.0402	0.0198	0.0	0.0	0.0	0.0	0.0	0.0119	0.0082	0.0	0.0	0.1148	0.5067	0.0	0.0	0.0	0.0	0.0239	0.3957	0.0	0.0	0.0099	0.1127	0.0	0.0	0.0	0.0
2.6484	15.0	1500	2.8246	0.0124	0.0039	0.0093	0.003	0.004	0.0074	0.0005	0.0057	0.0196	0.0244	0.022	0.0387	0.0235	0.0	0.0	0.0	0.0	0.0	0.0059	0.0082	0.0	0.0	0.1223	0.5157	0.0	0.0	0.0	0.0	0.0249	0.3974	0.0	0.0	0.0055	0.0778	0.0	0.0	0.0	0.0
2.6171	15.5	1550	2.8018	0.0124	0.004	0.01	0.0032	0.0037	0.0074	0.0008	0.0066	0.0211	0.0263	0.0197	0.0443	0.0258	0.0	0.0	0.0	0.0	0.0	0.0104	0.0306	0.0	0.0	0.1122	0.5052	0.0	0.0	0.0	0.0	0.0266	0.4165	0.0	0.0	0.0145	0.127	0.0	0.0	0.0	0.0
2.7484	16.0	1600	2.8278	0.0124	0.004	0.009	0.0031	0.0037	0.0086	0.0005	0.0064	0.0212	0.0256	0.0206	0.0435	0.0224	0.0	0.0	0.0	0.0	0.0	0.0048	0.0184	0.0	0.0	0.1153	0.4978	0.0	0.0	0.0	0.0	0.029	0.3957	0.0	0.0	0.0134	0.1397	0.0	0.0	0.0	0.0
2.2523	16.5	1650	2.7804	0.0124	0.0039	0.009	0.0031	0.0037	0.0087	0.0027	0.0063	0.023	0.0281	0.0201	0.0489	0.025	0.0	0.0	0.0	0.0	0.0	0.005	0.0224	0.0	0.0	0.1118	0.5127	0.0	0.0	0.0	0.0	0.0287	0.4539	0.0	0.0	0.0159	0.1651	0.0	0.0	0.0	0.0
2.792	17.0	1700	2.7744	0.0124	0.0039	0.0096	0.0028	0.0037	0.0074	0.0031	0.0059	0.0223	0.0279	0.0203	0.0474	0.0291	0.0	0.0	0.0	0.0	0.0	0.0112	0.0469	0.0	0.0	0.109	0.4731	0.0	0.0	0.0	0.0	0.0286	0.4713	0.0	0.0	0.0129	0.1524	0.0	0.0	0.0	0.0
2.9321	17.5	1750	2.7581	0.0124	0.004	0.0099	0.0031	0.0039	0.0074	0.0009	0.0065	0.0219	0.0274	0.0213	0.0451	0.0285	0.0	0.0	0.0	0.0	0.0	0.0106	0.0531	0.0	0.0	0.1172	0.4761	0.0	0.0	0.0	0.0	0.0244	0.4496	0.0	0.0	0.0114	0.1429	0.0	0.0	0.0	0.0
2.6387	18.0	1800	2.8029	0.0124	0.0042	0.0099	0.0027	0.0042	0.0075	0.001	0.0062	0.0203	0.0258	0.0206	0.0419	0.0306	0.0	0.0	0.0	0.0	0.0	0.0058	0.0347	0.0	0.0	0.1273	0.4858	0.0	0.0	0.0	0.0	0.0265	0.4296	0.0	0.0	0.0117	0.1063	0.0	0.0	0.0	0.0
3.8495	18.5	1850	2.7667	0.0124	0.0042	0.0104	0.0031	0.0039	0.0081	0.0012	0.0066	0.0223	0.0277	0.0223	0.044	0.0311	0.0	0.0	0.0	0.0	0.0	0.0111	0.0551	0.0	0.0	0.1227	0.5104	0.0	0.0	0.0	0.0	0.0262	0.4513	0.0	0.0	0.0126	0.1206	0.0	0.0	0.0	0.0
3.0583	19.0	1900	2.7503	0.0124	0.0043	0.0097	0.0035	0.0042	0.0076	0.0012	0.0076	0.0233	0.0291	0.0215	0.0467	0.0321	0.0	0.0	0.0	0.0	0.0	0.0165	0.0837	0.0	0.0	0.1205	0.5097	0.0	0.0	0.0	0.0	0.0275	0.4513	0.0	0.0	0.0136	0.1476	0.0	0.0	0.0	0.0
2.8411	19.5	1950	2.7440	0.0124	0.0043	0.0095	0.0036	0.0039	0.0078	0.0012	0.0079	0.0232	0.0288	0.0227	0.0454	0.0345	0.0	0.0	0.0	0.0	0.0	0.0144	0.0653	0.0	0.0	0.1194	0.5209	0.0	0.0	0.0	0.0	0.0298	0.4661	0.0	0.0	0.011	0.1302	0.0	0.0	0.0	0.0
3.0183	20.0	2000	2.7458	0.0124	0.0042	0.0098	0.0032	0.0035	0.0081	0.0018	0.0089	0.0241	0.0296	0.0218	0.046	0.0375	0.0	0.0	0.0	0.0	0.0	0.0227	0.102	0.0	0.0	0.1074	0.4955	0.0	0.0	0.0	0.0	0.0286	0.4539	0.0	0.0	0.0152	0.1619	0.0	0.0	0.0	0.0
2.8988	20.5	2050	2.7382	0.0124	0.0048	0.0111	0.0038	0.0038	0.0085	0.0022	0.0089	0.0255	0.0308	0.0241	0.0451	0.0365	0.0	0.0	0.0	0.0	0.0	0.0345	0.1245	0.0	0.0	0.1163	0.5336	0.0	0.0	0.0	0.0	0.0296	0.4557	0.0	0.0	0.0158	0.1476	0.0	0.0	0.0	0.0
2.5286	21.0	2100	2.7383	0.0124	0.0048	0.0108	0.0038	0.0042	0.0081	0.0036	0.0083	0.0257	0.0309	0.0248	0.0483	0.0339	0.0	0.0	0.0	0.0	0.0	0.0298	0.0959	0.0	0.0	0.1206	0.5366	0.0	0.0	0.0	0.0	0.0294	0.4461	0.0	0.0	0.0153	0.1873	0.0	0.0	0.0	0.0
3.2692	21.5	2150	2.7388	0.0124	0.0051	0.0113	0.0041	0.0042	0.0083	0.0025	0.0103	0.0264	0.0315	0.0236	0.0454	0.0355	0.0	0.0	0.0	0.0	0.0	0.0421	0.1653	0.0	0.0	0.1209	0.5172	0.0	0.0	0.0	0.0	0.0335	0.4443	0.0	0.0	0.0111	0.1635	0.0	0.0	0.0	0.0
2.7976	22.0	2200	2.7294	0.0124	0.0048	0.0111	0.0035	0.0037	0.0082	0.0046	0.0105	0.0253	0.0308	0.0237	0.0457	0.0347	0.0	0.0	0.0	0.0	0.0	0.0372	0.1571	0.0	0.0	0.1153	0.509	0.0	0.0	0.0	0.0	0.0318	0.4304	0.0	0.0	0.0119	0.1667	0.0	0.0	0.0	0.0
2.3505	22.5	2250	2.7265	0.0124	0.005	0.0114	0.0042	0.0044	0.008	0.0023	0.011	0.0275	0.0329	0.0236	0.048	0.0391	0.0	0.0	0.0	0.0	0.0	0.0377	0.198	0.0	0.0	0.1208	0.5209	0.0	0.0	0.0	0.0	0.0331	0.4565	0.0	0.0	0.0135	0.173	0.0	0.0	0.0	0.0
2.4853	23.0	2300	2.7120	0.0124	0.0052	0.0119	0.0041	0.0042	0.008	0.0031	0.0109	0.0285	0.0339	0.0233	0.0476	0.0432	0.0	0.0	0.0	0.0	0.0	0.0453	0.2306	0.0	0.0	0.1233	0.5194	0.0	0.0	0.0	0.0	0.0341	0.4704	0.0	0.0	0.0124	0.1714	0.0	0.0	0.0	0.0
2.3593	23.5	2350	2.7258	0.0124	0.0055	0.0128	0.004	0.0049	0.0072	0.0034	0.0116	0.0283	0.0329	0.0225	0.0455	0.0406	0.0	0.0	0.0	0.0	0.0	0.0549	0.2469	0.0	0.0	0.1235	0.4985	0.0	0.0	0.0	0.0	0.033	0.4357	0.0	0.0	0.0123	0.1667	0.0	0.0	0.0	0.0
2.4246	24.0	2400	2.7011	0.0124	0.0054	0.0125	0.0041	0.0044	0.0081	0.0028	0.0112	0.0297	0.0346	0.0245	0.0468	0.0412	0.0	0.0	0.0	0.0	0.0	0.0476	0.2592	0.0	0.0	0.1268	0.5269	0.0	0.0	0.0	0.0	0.0328	0.4609	0.0	0.0	0.0125	0.1698	0.0	0.0	0.0	0.0
6.0358	24.5	2450	2.7073	0.0124	0.0053	0.0123	0.0039	0.0041	0.0079	0.0029	0.0125	0.0293	0.034	0.0228	0.0462	0.042	0.0	0.0	0.0	0.0	0.0	0.0508	0.2755	0.0	0.0	0.1212	0.5037	0.0	0.0	0.0	0.0	0.0327	0.4478	0.0	0.0	0.0119	0.1667	0.0	0.0	0.0	0.0
2.7728	25.0	2500	2.7010	0.0124	0.0053	0.0122	0.0039	0.0047	0.0071	0.0042	0.0122	0.0294	0.0339	0.0221	0.048	0.0418	0.0	0.0	0.0	0.0	0.0	0.0506	0.2551	0.0	0.0	0.1207	0.5134	0.0	0.0	0.0	0.0	0.034	0.4565	0.0	0.0	0.0111	0.1667	0.0	0.0	0.0	0.0
2.5169	25.5	2550	2.6968	0.0124	0.0054	0.012	0.0045	0.004	0.0081	0.0032	0.0116	0.0289	0.0339	0.0235	0.0473	0.0402	0.0	0.0	0.0	0.0	0.0	0.058	0.2469	0.0	0.0	0.1204	0.5328	0.0	0.0	0.0	0.0	0.0333	0.4478	0.0	0.0	0.0112	0.1603	0.0	0.0	0.0	0.0
2.9971	26.0	2600	2.6801	0.0124	0.0057	0.0124	0.0046	0.004	0.0084	0.0045	0.0123	0.0303	0.0354	0.0234	0.0486	0.0439	0.0	0.0	0.0	0.0	0.0	0.0622	0.2816	0.0	0.0	0.1221	0.5381	0.0	0.0	0.0	0.0	0.0369	0.4548	0.0	0.0	0.0115	0.1762	0.0	0.0	0.0	0.0
2.3748	26.5	2650	2.6809	0.0124	0.0056	0.0123	0.0046	0.004	0.0083	0.0038	0.0121	0.0305	0.0354	0.0233	0.0487	0.0427	0.0	0.0	0.0	0.0	0.0	0.0597	0.2816	0.0	0.0	0.1236	0.5381	0.0	0.0	0.0	0.0	0.0362	0.4539	0.0	0.0	0.0106	0.1762	0.0	0.0	0.0	0.0
2.8506	27.0	2700	2.6779	0.0124	0.0057	0.012	0.0047	0.0042	0.0084	0.0038	0.0119	0.0302	0.0354	0.0235	0.0487	0.0419	0.0	0.0	0.0	0.0	0.0	0.0609	0.2653	0.0	0.0	0.125	0.5463	0.0	0.0	0.0	0.0	0.035	0.4635	0.0	0.0	0.0113	0.1746	0.0	0.0	0.0	0.0
2.53	27.5	2750	2.6831	0.0124	0.0057	0.0128	0.0047	0.0043	0.0085	0.0036	0.012	0.0304	0.0356	0.0234	0.0492	0.0433	0.0	0.0	0.0	0.0	0.0	0.0606	0.2776	0.0	0.0	0.1262	0.5455	0.0	0.0	0.0	0.0	0.0359	0.4609	0.0	0.0	0.0108	0.1762	0.0	0.0	0.0	0.0
2.1641	28.0	2800	2.6716	0.0124	0.006	0.013	0.0048	0.0042	0.0085	0.0052	0.0127	0.0309	0.0362	0.0243	0.0485	0.0445	0.0	0.0	0.0	0.0	0.0	0.0718	0.2939	0.0	0.0	0.1261	0.5463	0.0	0.0	0.0	0.0	0.036	0.4704	0.0	0.0	0.0111	0.1746	0.0	0.0	0.0	0.0
5.9674	28.5	2850	2.6713	0.0124	0.0058	0.0127	0.0045	0.0044	0.0079	0.0045	0.0125	0.0305	0.036	0.0251	0.0477	0.0445	0.0	0.0	0.0	0.0	0.0	0.0646	0.2857	0.0	0.0	0.1274	0.5507	0.0	0.0	0.0	0.0	0.0346	0.4643	0.0	0.0	0.0106	0.1762	0.0	0.0	0.0	0.0
2.6268	29.0	2900	2.6704	0.0124	0.0056	0.0124	0.0045	0.0041	0.0079	0.0043	0.0128	0.0302	0.0356	0.0238	0.0474	0.045	0.0	0.0	0.0	0.0	0.0	0.0621	0.2878	0.0	0.0	0.1227	0.5366	0.0	0.0	0.0	0.0	0.035	0.4609	0.0	0.0	0.0104	0.1746	0.0	0.0	0.0	0.0
2.5974	29.5	2950	2.6705	0.0124	0.0057	0.0124	0.0046	0.0041	0.0081	0.0054	0.0129	0.0309	0.0362	0.0238	0.0494	0.0449	0.0	0.0	0.0	0.0	0.0	0.0651	0.2939	0.0	0.0	0.1224	0.5366	0.0	0.0	0.0	0.0	0.0362	0.4661	0.0	0.0	0.0106	0.1889	0.0	0.0	0.0	0.0
2.4689	30.0	3000	2.6712	0.0124	0.0058	0.0128	0.0046	0.0042	0.0081	0.0055	0.0128	0.0308	0.0362	0.0239	0.0494	0.0448	0.0	0.0	0.0	0.0	0.0	0.0681	0.2918	0.0	0.0	0.1226	0.5358	0.0	0.0	0.0	0.0	0.0368	0.4661	0.0	0.0	0.0106	0.1905	0.0	0.0	0.0	0.0

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

osmanh/detr-resnet_finetuned

detr-resnet_finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

osmanh/
detr-resnet_finetuned