detr_finetuned_candy

This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 2.2689
Map: 0.007
Map 50: 0.0117
Map 75: 0.0077
Map Small: 0.0065
Map Medium: 0.0184
Map Large: -1.0
Mar 1: 0.0
Mar 10: 0.1143
Mar 100: 0.2286
Mar Small: 0.2
Mar Medium: 0.24
Mar Large: -1.0
Map Black Star: 0.0
Mar 100 Black Star: 0.0
Map Cat: 0.0381
Mar 100 Cat: 0.8
Map Grey Star: 0.0034
Mar 100 Grey Star: 0.4
Map Insect: 0.0
Mar 100 Insect: 0.0
Map Moon: 0.0
Mar 100 Moon: 0.0
Map Owl: 0.0
Mar 100 Owl: 0.0
Map Unicorn Head: 0.0077
Mar 100 Unicorn Head: 0.4
Map Unicorn Whole: -1.0
Mar 100 Unicorn Whole: -1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Cat	Mar 100 Cat	Map Grey Star	Mar 100 Grey Star	Map Unicorn Head	Mar 100 Unicorn Head	Map Unicorn Whole	Mar 100 Unicorn Whole
No log	1.0	1	43.4627	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	2.0	2	38.1840	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	3.0	3	34.5770	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	4.0	4	31.3127	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	5.0	5	28.3996	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	6.0	6	25.8281	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	7.0	7	23.5803	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	8.0	8	21.5154	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	9.0	9	19.7246	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	10.0	10	18.0319	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	11.0	11	16.4552	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	12.0	12	14.9394	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	13.0	13	13.5355	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	14.0	14	12.1913	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	15.0	15	11.0468	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	16.0	16	9.9526	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	17.0	17	8.9056	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	18.0	18	8.1271	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	19.0	19	7.4517	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	20.0	20	6.8534	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	21.0	21	6.2685	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	22.0	22	5.7899	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	23.0	23	5.3402	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	24.0	24	5.0099	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	25.0	25	4.8475	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	26.0	26	4.6449	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	27.0	27	4.4136	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	28.0	28	4.1757	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	29.0	29	3.9868	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	30.0	30	3.8385	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	31.0	31	3.6915	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	32.0	32	3.5659	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	33.0	33	3.4609	0.0003	0.0011	0.0	0.0	0.0005	-1.0	0.0	0.0214	0.0	0.03	-1.0	0.0	0.0	0.0	0.0	0.0023	0.15	-1.0	-1.0
No log	34.0	34	3.3716	0.0005	0.0014	0.0	0.0	0.0008	-1.0	0.0	0.0286	0.0	0.04	-1.0	0.0	0.0	0.0	0.0	0.0032	0.2	-1.0	-1.0
No log	35.0	35	3.2758	0.0006	0.0019	0.0	0.0	0.001	-1.0	0.0	0.0286	0.0	0.04	-1.0	0.0	0.0	0.0	0.0	0.0043	0.2	-1.0	-1.0
No log	36.0	36	3.1869	0.0008	0.0027	0.0	0.0	0.0014	-1.0	0.0	0.0286	0.0	0.04	-1.0	0.0	0.0	0.0	0.0	0.0058	0.2	-1.0	-1.0
No log	37.0	37	3.1176	0.0008	0.003	0.0	0.0	0.0014	-1.0	0.0	0.0214	0.0	0.03	-1.0	0.0	0.0	0.0	0.0	0.0054	0.15	-1.0	-1.0
No log	38.0	38	3.0594	0.0047	0.0083	0.0045	0.0	0.0092	-1.0	0.0	0.1429	0.0	0.2	-1.0	0.025	0.8	0.0	0.0	0.0078	0.2	-1.0	-1.0
No log	39.0	39	3.0267	0.0056	0.0096	0.0053	0.0	0.0095	-1.0	0.1143	0.1571	0.0	0.22	-1.0	0.0296	0.8	0.0	0.0	0.0097	0.3	-1.0	-1.0
No log	40.0	40	3.0128	0.0059	0.0096	0.0049	0.0	0.0095	-1.0	0.1286	0.1714	0.0	0.24	-1.0	0.031	0.9	0.0	0.0	0.0101	0.3	-1.0	-1.0
No log	41.0	41	2.9745	0.0048	0.0082	0.0039	0.0	0.0076	-1.0	0.0	0.1714	0.0	0.24	-1.0	0.0243	0.9	0.0	0.0	0.0094	0.3	-1.0	-1.0
No log	42.0	42	2.8860	0.0062	0.0098	0.0055	0.0	0.0108	-1.0	0.1286	0.1714	0.0	0.24	-1.0	0.0346	0.9	0.0	0.0	0.0087	0.3	-1.0	-1.0
No log	43.0	43	2.8396	0.0067	0.0108	0.0084	0.0	0.0127	-1.0	0.1143	0.1643	0.0	0.23	-1.0	0.0381	0.8	0.0	0.0	0.009	0.35	-1.0	-1.0
No log	44.0	44	2.7898	0.0072	0.0104	0.0068	0.0	0.0135	-1.0	0.1286	0.1714	0.0	0.24	-1.0	0.0429	0.9	0.0	0.0	0.0075	0.3	-1.0	-1.0
No log	45.0	45	2.7496	0.0055	0.008	0.0066	0.0	0.0102	-1.0	0.0	0.1786	0.0	0.25	-1.0	0.03	0.9	0.0	0.0	0.0087	0.35	-1.0	-1.0
No log	46.0	46	2.7201	0.004	0.0055	0.0055	0.0	0.0072	-1.0	0.0	0.1571	0.0	0.22	-1.0	0.019	0.8	0.0	0.0	0.0089	0.3	-1.0	-1.0
No log	47.0	47	2.7139	0.0035	0.005	0.005	0.0	0.0055	-1.0	0.0	0.1571	0.0	0.22	-1.0	0.0131	0.8	0.0	0.0	0.0112	0.3	-1.0	-1.0
No log	48.0	48	2.7079	0.0034	0.0049	0.0049	0.0	0.0053	-1.0	0.0	0.1571	0.0	0.22	-1.0	0.0125	0.8	0.0	0.0	0.0112	0.3	-1.0	-1.0
No log	49.0	49	2.6761	0.004	0.006	0.0033	0.0	0.0065	-1.0	0.0	0.15	0.0	0.21	-1.0	0.0186	0.8	0.0	0.0	0.0094	0.25	-1.0	-1.0
No log	50.0	50	2.6451	0.0047	0.0065	0.0037	0.0	0.0081	-1.0	0.0	0.1643	0.0	0.23	-1.0	0.0231	0.9	0.0	0.0	0.0101	0.25	-1.0	-1.0
No log	51.0	51	2.6156	0.0048	0.0064	0.004	0.0	0.0077	-1.0	0.0	0.1643	0.0	0.23	-1.0	0.025	0.9	0.0	0.0	0.0084	0.25	-1.0	-1.0
No log	52.0	52	2.5724	0.0054	0.0074	0.0062	0.0	0.0103	-1.0	0.1143	0.1571	0.0	0.22	-1.0	0.0296	0.8	0.0	0.0	0.0078	0.3	-1.0	-1.0
No log	53.0	53	2.5404	0.0052	0.0072	0.0055	0.0	0.0128	-1.0	0.1143	0.15	0.0	0.21	-1.0	0.0308	0.8	0.0	0.0	0.0054	0.25	-1.0	-1.0
No log	54.0	54	2.5318	0.005	0.007	0.0053	0.0	0.0148	-1.0	0.1143	0.15	0.0	0.21	-1.0	0.0296	0.8	0.0	0.0	0.0053	0.25	-1.0	-1.0
No log	55.0	55	2.5240	0.0049	0.0067	0.0051	0.0	0.0162	-1.0	0.1143	0.15	0.0	0.21	-1.0	0.0286	0.8	0.0	0.0	0.0057	0.25	-1.0	-1.0
No log	56.0	56	2.5011	0.0051	0.0062	0.0062	0.0	0.0131	-1.0	0.0	0.1714	0.0	0.24	-1.0	0.029	0.9	0.0	0.0	0.0066	0.3	-1.0	-1.0
No log	57.0	57	2.4993	0.0046	0.0068	0.0059	0.0	0.0084	-1.0	0.0	0.1714	0.0	0.24	-1.0	0.025	0.8	0.0	0.0	0.0074	0.4	-1.0	-1.0
No log	58.0	58	2.4976	0.0011	0.0025	0.0014	0.0	0.0018	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0074	0.4	-1.0	-1.0
No log	59.0	59	2.4791	0.0012	0.0033	0.0013	0.0	0.0021	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0083	0.4	-1.0	-1.0
No log	60.0	60	2.4503	0.0012	0.0039	0.0012	0.0	0.0023	-1.0	0.0	0.0643	0.0	0.09	-1.0	0.0	0.0	0.0	0.0	0.0083	0.45	-1.0	-1.0
No log	61.0	61	2.4290	0.0012	0.0043	0.0012	0.0	0.0024	-1.0	0.0	0.0643	0.0	0.09	-1.0	0.0	0.0	0.0	0.0	0.0085	0.45	-1.0	-1.0
No log	62.0	62	2.4172	0.0011	0.0042	0.0011	0.0	0.0024	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0074	0.4	-1.0	-1.0
No log	63.0	63	2.3938	0.001	0.0039	0.001	0.0	0.0022	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.007	0.4	-1.0	-1.0
No log	64.0	64	2.3736	0.0011	0.0036	0.0009	0.0	0.0022	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0076	0.4	-1.0	-1.0
No log	65.0	65	2.3663	0.0011	0.0035	0.0009	0.0	0.002	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0074	0.4	-1.0	-1.0
No log	66.0	66	2.3599	0.0013	0.0035	0.0009	0.0	0.0023	-1.0	0.0	0.0643	0.0	0.09	-1.0	0.0	0.0	0.0	0.0	0.0093	0.45	-1.0	-1.0
No log	67.0	67	2.3547	0.0014	0.0037	0.0009	0.0	0.0024	-1.0	0.0	0.0643	0.0	0.09	-1.0	0.0	0.0	0.0	0.0	0.0096	0.45	-1.0	-1.0
No log	68.0	68	2.3477	0.0011	0.0037	0.0009	0.0	0.0019	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0077	0.4	-1.0	-1.0
No log	69.0	69	2.3357	0.0011	0.0038	0.001	0.0	0.002	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.008	0.4	-1.0	-1.0
No log	70.0	70	2.3244	0.0012	0.0039	0.001	0.0	0.0023	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0081	0.4	-1.0	-1.0
No log	71.0	71	2.3189	0.0012	0.0039	0.001	0.0	0.0025	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0082	0.4	-1.0	-1.0
No log	72.0	72	2.3207	0.0009	0.004	0.001	0.0	0.0021	-1.0	0.0	0.05	0.0	0.07	-1.0	0.0	0.0	0.0	0.0	0.0063	0.35	-1.0	-1.0
No log	73.0	73	2.3184	0.0052	0.0087	0.0058	0.0	0.0159	-1.0	0.0	0.1786	0.0	0.25	-1.0	0.03	0.9	0.0	0.0	0.0063	0.35	-1.0	-1.0
No log	74.0	74	2.3131	0.0059	0.0096	0.0065	0.0	0.0183	-1.0	0.1286	0.1786	0.0	0.25	-1.0	0.0346	0.9	0.0	0.0	0.0065	0.35	-1.0	-1.0
No log	75.0	75	2.3047	0.0062	0.0095	0.0065	0.0	0.0164	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0346	0.9	0.0	0.0	0.0085	0.4	-1.0	-1.0
No log	76.0	76	2.2978	0.0064	0.0098	0.0067	0.0	0.0152	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.036	0.9	0.0	0.0	0.0086	0.4	-1.0	-1.0
No log	77.0	77	2.2943	0.0066	0.0099	0.007	0.0	0.0135	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0375	0.9	0.0	0.0	0.0085	0.4	-1.0	-1.0
No log	78.0	78	2.2913	0.0065	0.0098	0.007	0.0	0.0133	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0375	0.9	0.0	0.0	0.0083	0.4	-1.0	-1.0
No log	79.0	79	2.2875	0.0066	0.0099	0.007	0.0	0.0134	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0375	0.9	0.0	0.0	0.0084	0.4	-1.0	-1.0
No log	80.0	80	2.2839	0.0068	0.0101	0.0072	0.0	0.0141	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0391	0.9	0.0	0.0	0.0082	0.4	-1.0	-1.0
No log	81.0	81	2.2800	0.007	0.0104	0.0075	0.0	0.0151	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0409	0.9	0.0	0.0	0.0081	0.4	-1.0	-1.0
No log	82.0	82	2.2785	0.0079	0.0113	0.0085	0.0	0.0203	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0474	0.9	0.0	0.0	0.008	0.4	-1.0	-1.0
No log	83.0	83	2.2781	0.0079	0.0113	0.0085	0.0	0.0224	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0474	0.9	0.0	0.0	0.0079	0.4	-1.0	-1.0
No log	84.0	84	2.2775	0.0079	0.0112	0.0085	0.0	0.0224	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0474	0.9	0.0	0.0	0.0078	0.4	-1.0	-1.0
No log	85.0	85	2.2796	0.0084	0.0125	0.0085	0.0067	0.0249	-1.0	0.1286	0.2429	0.2	0.26	-1.0	0.0474	0.9	0.0036	0.4	0.0078	0.4	-1.0	-1.0
No log	86.0	86	2.2808	0.0084	0.0124	0.0084	0.0059	0.0282	-1.0	0.1286	0.2429	0.2	0.26	-1.0	0.0474	0.9	0.0035	0.4	0.0077	0.4	-1.0	-1.0
No log	87.0	87	2.2814	0.0084	0.0124	0.0084	0.0059	0.0283	-1.0	0.1286	0.2429	0.2	0.26	-1.0	0.0474	0.9	0.0036	0.4	0.0076	0.4	-1.0	-1.0
No log	88.0	88	2.2804	0.0084	0.0124	0.0084	0.0059	0.0283	-1.0	0.1286	0.2429	0.2	0.26	-1.0	0.0474	0.9	0.0036	0.4	0.0076	0.4	-1.0	-1.0
No log	89.0	89	2.2784	0.0076	0.0124	0.0084	0.0059	0.0254	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	90.0	90	2.2764	0.0076	0.0124	0.0084	0.0059	0.0254	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	91.0	91	2.2744	0.0076	0.0124	0.0084	0.0059	0.0254	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	92.0	92	2.2729	0.0076	0.0124	0.0084	0.0063	0.0224	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	93.0	93	2.2717	0.0076	0.0124	0.0084	0.0065	0.0224	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	94.0	94	2.2708	0.0076	0.0124	0.0084	0.0065	0.0202	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0077	0.4	-1.0	-1.0
No log	95.0	95	2.2700	0.0076	0.0124	0.0084	0.0065	0.0202	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	96.0	96	2.2696	0.0073	0.012	0.0081	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.04	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	97.0	97	2.2692	0.007	0.0117	0.0077	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0381	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	98.0	98	2.2690	0.007	0.0117	0.0077	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0381	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	99.0	99	2.2689	0.007	0.0117	0.0077	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0381	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	100.0	100	2.2689	0.007	0.0117	0.0077	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0381	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1

加载中…

detr_finetuned_candy

This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 2.2689

Map: 0.007

Map 50: 0.0117

Map 75: 0.0077

Map Small: 0.0065

Map Medium: 0.0184

Map Large: -1.0

Mar 1: 0.0

Mar 10: 0.1143

Mar 100: 0.2286

Mar Small: 0.2

Mar Medium: 0.24

Mar Large: -1.0

Map Black Star: 0.0

Mar 100 Black Star: 0.0

Map Cat: 0.0381

Mar 100 Cat: 0.8

Map Grey Star: 0.0034

Mar 100 Grey Star: 0.4

Map Insect: 0.0

Mar 100 Insect: 0.0

Map Moon: 0.0

Mar 100 Moon: 0.0

Map Owl: 0.0

Mar 100 Owl: 0.0

Map Unicorn Head: 0.0077

Mar 100 Unicorn Head: 0.4

Map Unicorn Whole: -1.0

Mar 100 Unicorn Whole: -1.0

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05

train_batch_size: 8

eval_batch_size: 8

seed: 42

optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08

lr_scheduler_type: cosine

num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Cat	Mar 100 Cat	Map Grey Star	Mar 100 Grey Star	Map Unicorn Head	Mar 100 Unicorn Head	Map Unicorn Whole	Mar 100 Unicorn Whole
No log	1.0	1	43.4627	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	2.0	2	38.1840	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	3.0	3	34.5770	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	4.0	4	31.3127	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	5.0	5	28.3996	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	6.0	6	25.8281	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	7.0	7	23.5803	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	8.0	8	21.5154	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	9.0	9	19.7246	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	10.0	10	18.0319	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	11.0	11	16.4552	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	12.0	12	14.9394	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	13.0	13	13.5355	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	14.0	14	12.1913	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	15.0	15	11.0468	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	16.0	16	9.9526	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	17.0	17	8.9056	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	18.0	18	8.1271	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	19.0	19	7.4517	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	20.0	20	6.8534	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	21.0	21	6.2685	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	22.0	22	5.7899	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	23.0	23	5.3402	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	24.0	24	5.0099	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	25.0	25	4.8475	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	26.0	26	4.6449	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	27.0	27	4.4136	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	28.0	28	4.1757	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	29.0	29	3.9868	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	30.0	30	3.8385	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	31.0	31	3.6915	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	32.0	32	3.5659	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	33.0	33	3.4609	0.0003	0.0011	0.0	0.0	0.0005	-1.0	0.0	0.0214	0.0	0.03	-1.0	0.0	0.0	0.0	0.0	0.0023	0.15	-1.0	-1.0
No log	34.0	34	3.3716	0.0005	0.0014	0.0	0.0	0.0008	-1.0	0.0	0.0286	0.0	0.04	-1.0	0.0	0.0	0.0	0.0	0.0032	0.2	-1.0	-1.0
No log	35.0	35	3.2758	0.0006	0.0019	0.0	0.0	0.001	-1.0	0.0	0.0286	0.0	0.04	-1.0	0.0	0.0	0.0	0.0	0.0043	0.2	-1.0	-1.0
No log	36.0	36	3.1869	0.0008	0.0027	0.0	0.0	0.0014	-1.0	0.0	0.0286	0.0	0.04	-1.0	0.0	0.0	0.0	0.0	0.0058	0.2	-1.0	-1.0
No log	37.0	37	3.1176	0.0008	0.003	0.0	0.0	0.0014	-1.0	0.0	0.0214	0.0	0.03	-1.0	0.0	0.0	0.0	0.0	0.0054	0.15	-1.0	-1.0
No log	38.0	38	3.0594	0.0047	0.0083	0.0045	0.0	0.0092	-1.0	0.0	0.1429	0.0	0.2	-1.0	0.025	0.8	0.0	0.0	0.0078	0.2	-1.0	-1.0
No log	39.0	39	3.0267	0.0056	0.0096	0.0053	0.0	0.0095	-1.0	0.1143	0.1571	0.0	0.22	-1.0	0.0296	0.8	0.0	0.0	0.0097	0.3	-1.0	-1.0
No log	40.0	40	3.0128	0.0059	0.0096	0.0049	0.0	0.0095	-1.0	0.1286	0.1714	0.0	0.24	-1.0	0.031	0.9	0.0	0.0	0.0101	0.3	-1.0	-1.0
No log	41.0	41	2.9745	0.0048	0.0082	0.0039	0.0	0.0076	-1.0	0.0	0.1714	0.0	0.24	-1.0	0.0243	0.9	0.0	0.0	0.0094	0.3	-1.0	-1.0
No log	42.0	42	2.8860	0.0062	0.0098	0.0055	0.0	0.0108	-1.0	0.1286	0.1714	0.0	0.24	-1.0	0.0346	0.9	0.0	0.0	0.0087	0.3	-1.0	-1.0
No log	43.0	43	2.8396	0.0067	0.0108	0.0084	0.0	0.0127	-1.0	0.1143	0.1643	0.0	0.23	-1.0	0.0381	0.8	0.0	0.0	0.009	0.35	-1.0	-1.0
No log	44.0	44	2.7898	0.0072	0.0104	0.0068	0.0	0.0135	-1.0	0.1286	0.1714	0.0	0.24	-1.0	0.0429	0.9	0.0	0.0	0.0075	0.3	-1.0	-1.0
No log	45.0	45	2.7496	0.0055	0.008	0.0066	0.0	0.0102	-1.0	0.0	0.1786	0.0	0.25	-1.0	0.03	0.9	0.0	0.0	0.0087	0.35	-1.0	-1.0
No log	46.0	46	2.7201	0.004	0.0055	0.0055	0.0	0.0072	-1.0	0.0	0.1571	0.0	0.22	-1.0	0.019	0.8	0.0	0.0	0.0089	0.3	-1.0	-1.0
No log	47.0	47	2.7139	0.0035	0.005	0.005	0.0	0.0055	-1.0	0.0	0.1571	0.0	0.22	-1.0	0.0131	0.8	0.0	0.0	0.0112	0.3	-1.0	-1.0
No log	48.0	48	2.7079	0.0034	0.0049	0.0049	0.0	0.0053	-1.0	0.0	0.1571	0.0	0.22	-1.0	0.0125	0.8	0.0	0.0	0.0112	0.3	-1.0	-1.0
No log	49.0	49	2.6761	0.004	0.006	0.0033	0.0	0.0065	-1.0	0.0	0.15	0.0	0.21	-1.0	0.0186	0.8	0.0	0.0	0.0094	0.25	-1.0	-1.0
No log	50.0	50	2.6451	0.0047	0.0065	0.0037	0.0	0.0081	-1.0	0.0	0.1643	0.0	0.23	-1.0	0.0231	0.9	0.0	0.0	0.0101	0.25	-1.0	-1.0
No log	51.0	51	2.6156	0.0048	0.0064	0.004	0.0	0.0077	-1.0	0.0	0.1643	0.0	0.23	-1.0	0.025	0.9	0.0	0.0	0.0084	0.25	-1.0	-1.0
No log	52.0	52	2.5724	0.0054	0.0074	0.0062	0.0	0.0103	-1.0	0.1143	0.1571	0.0	0.22	-1.0	0.0296	0.8	0.0	0.0	0.0078	0.3	-1.0	-1.0
No log	53.0	53	2.5404	0.0052	0.0072	0.0055	0.0	0.0128	-1.0	0.1143	0.15	0.0	0.21	-1.0	0.0308	0.8	0.0	0.0	0.0054	0.25	-1.0	-1.0
No log	54.0	54	2.5318	0.005	0.007	0.0053	0.0	0.0148	-1.0	0.1143	0.15	0.0	0.21	-1.0	0.0296	0.8	0.0	0.0	0.0053	0.25	-1.0	-1.0
No log	55.0	55	2.5240	0.0049	0.0067	0.0051	0.0	0.0162	-1.0	0.1143	0.15	0.0	0.21	-1.0	0.0286	0.8	0.0	0.0	0.0057	0.25	-1.0	-1.0
No log	56.0	56	2.5011	0.0051	0.0062	0.0062	0.0	0.0131	-1.0	0.0	0.1714	0.0	0.24	-1.0	0.029	0.9	0.0	0.0	0.0066	0.3	-1.0	-1.0
No log	57.0	57	2.4993	0.0046	0.0068	0.0059	0.0	0.0084	-1.0	0.0	0.1714	0.0	0.24	-1.0	0.025	0.8	0.0	0.0	0.0074	0.4	-1.0	-1.0
No log	58.0	58	2.4976	0.0011	0.0025	0.0014	0.0	0.0018	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0074	0.4	-1.0	-1.0
No log	59.0	59	2.4791	0.0012	0.0033	0.0013	0.0	0.0021	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0083	0.4	-1.0	-1.0
No log	60.0	60	2.4503	0.0012	0.0039	0.0012	0.0	0.0023	-1.0	0.0	0.0643	0.0	0.09	-1.0	0.0	0.0	0.0	0.0	0.0083	0.45	-1.0	-1.0
No log	61.0	61	2.4290	0.0012	0.0043	0.0012	0.0	0.0024	-1.0	0.0	0.0643	0.0	0.09	-1.0	0.0	0.0	0.0	0.0	0.0085	0.45	-1.0	-1.0
No log	62.0	62	2.4172	0.0011	0.0042	0.0011	0.0	0.0024	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0074	0.4	-1.0	-1.0
No log	63.0	63	2.3938	0.001	0.0039	0.001	0.0	0.0022	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.007	0.4	-1.0	-1.0
No log	64.0	64	2.3736	0.0011	0.0036	0.0009	0.0	0.0022	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0076	0.4	-1.0	-1.0
No log	65.0	65	2.3663	0.0011	0.0035	0.0009	0.0	0.002	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0074	0.4	-1.0	-1.0
No log	66.0	66	2.3599	0.0013	0.0035	0.0009	0.0	0.0023	-1.0	0.0	0.0643	0.0	0.09	-1.0	0.0	0.0	0.0	0.0	0.0093	0.45	-1.0	-1.0
No log	67.0	67	2.3547	0.0014	0.0037	0.0009	0.0	0.0024	-1.0	0.0	0.0643	0.0	0.09	-1.0	0.0	0.0	0.0	0.0	0.0096	0.45	-1.0	-1.0
No log	68.0	68	2.3477	0.0011	0.0037	0.0009	0.0	0.0019	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0077	0.4	-1.0	-1.0
No log	69.0	69	2.3357	0.0011	0.0038	0.001	0.0	0.002	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.008	0.4	-1.0	-1.0
No log	70.0	70	2.3244	0.0012	0.0039	0.001	0.0	0.0023	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0081	0.4	-1.0	-1.0
No log	71.0	71	2.3189	0.0012	0.0039	0.001	0.0	0.0025	-1.0	0.0	0.0571	0.0	0.08	-1.0	0.0	0.0	0.0	0.0	0.0082	0.4	-1.0	-1.0
No log	72.0	72	2.3207	0.0009	0.004	0.001	0.0	0.0021	-1.0	0.0	0.05	0.0	0.07	-1.0	0.0	0.0	0.0	0.0	0.0063	0.35	-1.0	-1.0
No log	73.0	73	2.3184	0.0052	0.0087	0.0058	0.0	0.0159	-1.0	0.0	0.1786	0.0	0.25	-1.0	0.03	0.9	0.0	0.0	0.0063	0.35	-1.0	-1.0
No log	74.0	74	2.3131	0.0059	0.0096	0.0065	0.0	0.0183	-1.0	0.1286	0.1786	0.0	0.25	-1.0	0.0346	0.9	0.0	0.0	0.0065	0.35	-1.0	-1.0
No log	75.0	75	2.3047	0.0062	0.0095	0.0065	0.0	0.0164	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0346	0.9	0.0	0.0	0.0085	0.4	-1.0	-1.0
No log	76.0	76	2.2978	0.0064	0.0098	0.0067	0.0	0.0152	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.036	0.9	0.0	0.0	0.0086	0.4	-1.0	-1.0
No log	77.0	77	2.2943	0.0066	0.0099	0.007	0.0	0.0135	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0375	0.9	0.0	0.0	0.0085	0.4	-1.0	-1.0
No log	78.0	78	2.2913	0.0065	0.0098	0.007	0.0	0.0133	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0375	0.9	0.0	0.0	0.0083	0.4	-1.0	-1.0
No log	79.0	79	2.2875	0.0066	0.0099	0.007	0.0	0.0134	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0375	0.9	0.0	0.0	0.0084	0.4	-1.0	-1.0
No log	80.0	80	2.2839	0.0068	0.0101	0.0072	0.0	0.0141	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0391	0.9	0.0	0.0	0.0082	0.4	-1.0	-1.0
No log	81.0	81	2.2800	0.007	0.0104	0.0075	0.0	0.0151	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0409	0.9	0.0	0.0	0.0081	0.4	-1.0	-1.0
No log	82.0	82	2.2785	0.0079	0.0113	0.0085	0.0	0.0203	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0474	0.9	0.0	0.0	0.008	0.4	-1.0	-1.0
No log	83.0	83	2.2781	0.0079	0.0113	0.0085	0.0	0.0224	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0474	0.9	0.0	0.0	0.0079	0.4	-1.0	-1.0
No log	84.0	84	2.2775	0.0079	0.0112	0.0085	0.0	0.0224	-1.0	0.1286	0.1857	0.0	0.26	-1.0	0.0474	0.9	0.0	0.0	0.0078	0.4	-1.0	-1.0
No log	85.0	85	2.2796	0.0084	0.0125	0.0085	0.0067	0.0249	-1.0	0.1286	0.2429	0.2	0.26	-1.0	0.0474	0.9	0.0036	0.4	0.0078	0.4	-1.0	-1.0
No log	86.0	86	2.2808	0.0084	0.0124	0.0084	0.0059	0.0282	-1.0	0.1286	0.2429	0.2	0.26	-1.0	0.0474	0.9	0.0035	0.4	0.0077	0.4	-1.0	-1.0
No log	87.0	87	2.2814	0.0084	0.0124	0.0084	0.0059	0.0283	-1.0	0.1286	0.2429	0.2	0.26	-1.0	0.0474	0.9	0.0036	0.4	0.0076	0.4	-1.0	-1.0
No log	88.0	88	2.2804	0.0084	0.0124	0.0084	0.0059	0.0283	-1.0	0.1286	0.2429	0.2	0.26	-1.0	0.0474	0.9	0.0036	0.4	0.0076	0.4	-1.0	-1.0
No log	89.0	89	2.2784	0.0076	0.0124	0.0084	0.0059	0.0254	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	90.0	90	2.2764	0.0076	0.0124	0.0084	0.0059	0.0254	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	91.0	91	2.2744	0.0076	0.0124	0.0084	0.0059	0.0254	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	92.0	92	2.2729	0.0076	0.0124	0.0084	0.0063	0.0224	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	93.0	93	2.2717	0.0076	0.0124	0.0084	0.0065	0.0224	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0076	0.4	-1.0	-1.0
No log	94.0	94	2.2708	0.0076	0.0124	0.0084	0.0065	0.0202	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0035	0.4	0.0077	0.4	-1.0	-1.0
No log	95.0	95	2.2700	0.0076	0.0124	0.0084	0.0065	0.0202	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0421	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	96.0	96	2.2696	0.0073	0.012	0.0081	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.04	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	97.0	97	2.2692	0.007	0.0117	0.0077	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0381	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	98.0	98	2.2690	0.007	0.0117	0.0077	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0381	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	99.0	99	2.2689	0.007	0.0117	0.0077	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0381	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0
No log	100.0	100	2.2689	0.007	0.0117	0.0077	0.0065	0.0184	-1.0	0.1143	0.2286	0.2	0.24	-1.0	0.0381	0.8	0.0034	0.4	0.0077	0.4	-1.0	-1.0

Framework versions

Transformers 4.44.2

Pytorch 2.5.0+cu121

Datasets 3.1.0

Tokenizers 0.19.1

sahand1/detr_finetuned_candy

detr_finetuned_candy

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

detr_finetuned_candy

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions