This model is a fine-tuned version of facebook/mask2former-swin-large-ade-semantic on the AllanK24/apple-dms-materials-v2 dataset. It achieves the following results on the evaluation set:

Mean Iou: 0.4924
Mean Accuracy: 0.5439
Overall Accuracy: 0.7754
Iou Animal Skin: 0.5138
Accuracy Animal Skin: 0.6616
Iou Bone Teeth Horn: 0.3034
Accuracy Bone Teeth Horn: 0.3308
Iou Brickwork: 0.6460
Accuracy Brickwork: 0.7062
Iou Cardboard: 0.6173
Accuracy Cardboard: 0.6630
Iou Carpet Rug: 0.7423
Accuracy Carpet Rug: 0.7982
Iou Ceiling Tile: 0.7604
Accuracy Ceiling Tile: 0.7921
Iou Ceramic: 0.7092
Accuracy Ceramic: 0.7840
Iou Chalkboard Blackboard: 0.7850
Accuracy Chalkboard Blackboard: 0.7920
Iou Clutter: 0.0
Accuracy Clutter: 0.0
Iou Concrete: 0.3578
Accuracy Concrete: 0.4204
Iou Cork Corkboard: 0.0
Accuracy Cork Corkboard: 0.0
Iou Engineered Stone: 0.0
Accuracy Engineered Stone: 0.0
Iou Fabric Cloth: 0.8297
Accuracy Fabric Cloth: 0.8762
Iou Fiberglass Wool: 0.0
Accuracy Fiberglass Wool: 0.0
Iou Fire: 0.5141
Accuracy Fire: 0.5263
Iou Foliage: 0.8411
Accuracy Foliage: 0.9001
Iou Food: 0.8853
Accuracy Food: 0.9362
Iou Fur: 0.7892
Accuracy Fur: 0.8188
Iou Gemstone Quartz: 0.0
Accuracy Gemstone Quartz: 0.0
Iou Glass: 0.6774
Accuracy Glass: 0.7394
Iou Hair: 0.7840
Accuracy Hair: 0.8635
Iou Ice: 0.3668
Accuracy Ice: 0.4372
Iou Leather: 0.4687
Accuracy Leather: 0.5153
Iou Liquid Non-water: 0.0397
Accuracy Liquid Non-water: 0.0407
Iou Metal: 0.4040
Accuracy Metal: 0.4706
Iou Mirror: 0.6503
Accuracy Mirror: 0.7135
Iou Paint Plaster Enamel: 0.7540
Accuracy Paint Plaster Enamel: 0.8088
Iou Paper: 0.6587
Accuracy Paper: 0.7244
Iou Pearl: 0.0
Accuracy Pearl: 0.0
Iou Photograph Painting: 0.3588
Accuracy Photograph Painting: 0.3986
Iou Plastic Clear: 0.3451
Accuracy Plastic Clear: 0.3924
Iou Plastic Non-clear: 0.3908
Accuracy Plastic Non-clear: 0.4459
Iou Rubber Latex: 0.4497
Accuracy Rubber Latex: 0.4965
Iou Sand: 0.4740
Accuracy Sand: 0.6465
Iou Skin Lips: 0.8049
Accuracy Skin Lips: 0.8875
Iou Sky: 0.9551
Accuracy Sky: 0.9747
Iou Snow: 0.6837
Accuracy Snow: 0.8071
Iou Soap: 0.0
Accuracy Soap: 0.0
Iou Soil Mud: 0.4678
Accuracy Soil Mud: 0.6047
Iou Sponge: 0.0
Accuracy Sponge: 0.0
Iou Stone Natural: 0.6381
Accuracy Stone Natural: 0.7449
Iou Stone Polished: 0.1520
Accuracy Stone Polished: 0.1533
Iou Styrofoam: 0.0
Accuracy Styrofoam: 0.0
Iou Tile: 0.6568
Accuracy Tile: 0.7024
Iou Wallpaper: 0.4606
Accuracy Wallpaper: 0.6150
Iou Water: 0.8683
Accuracy Water: 0.9125
Iou Wax: 0.6867
Accuracy Wax: 0.7402
Iou Whiteboard: 0.8120
Accuracy Whiteboard: 0.8484
Iou Wicker: 0.6058
Accuracy Wicker: 0.6636
Iou Wood: 0.7397
Accuracy Wood: 0.7946
Iou Wood Tree: 0.3763
Accuracy Wood Tree: 0.4487
Iou Asphalt: 0.5823
Accuracy Asphalt: 0.6888
Loss: 232.1999
Eval Runtime: 18.6089
Eval Samples Per Second: 28.374
Eval Steps Per Second: 14.187

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: 0.001
train_batch_size: 32
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 256
total_eval_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 40

Training results

Training Loss	Epoch	Step	Mean Iou	Mean Accuracy	Overall Accuracy	Iou Animal Skin	Accuracy Animal Skin	Iou Bone Teeth Horn	Accuracy Bone Teeth Horn	Iou Brickwork	Accuracy Brickwork	Iou Cardboard	Accuracy Cardboard	Iou Carpet Rug	Accuracy Carpet Rug	Iou Ceiling Tile	Accuracy Ceiling Tile	Iou Ceramic	Accuracy Ceramic	Iou Chalkboard Blackboard	Accuracy Chalkboard Blackboard	Iou Concrete	Accuracy Concrete	Iou Fabric Cloth	Accuracy Fabric Cloth	Iou Fire	Accuracy Fire	Iou Foliage	Accuracy Foliage	Iou Food	Accuracy Food	Iou Fur	Accuracy Fur	Iou Glass	Accuracy Glass	Iou Hair	Accuracy Hair	Iou Ice	Accuracy Ice	Iou Leather	Accuracy Leather	Iou Liquid Non-water	Accuracy Liquid Non-water	Iou Metal	Accuracy Metal	Iou Mirror	Accuracy Mirror	Iou Paint Plaster Enamel	Accuracy Paint Plaster Enamel	Iou Paper	Accuracy Paper	Iou Photograph Painting	Accuracy Photograph Painting	Iou Plastic Clear	Accuracy Plastic Clear	Iou Plastic Non-clear	Accuracy Plastic Non-clear	Iou Rubber Latex	Accuracy Rubber Latex	Iou Sand	Accuracy Sand	Iou Skin Lips	Accuracy Skin Lips	Iou Sky	Accuracy Sky	Iou Snow	Accuracy Snow	Iou Soil Mud	Accuracy Soil Mud	Iou Stone Natural	Accuracy Stone Natural	Iou Stone Polished	Accuracy Stone Polished	Iou Tile	Accuracy Tile	Iou Wallpaper	Accuracy Wallpaper	Iou Water	Accuracy Water	Iou Wax	Accuracy Wax	Iou Whiteboard	Accuracy Whiteboard	Iou Wicker	Accuracy Wicker	Iou Wood	Accuracy Wood	Iou Wood Tree	Accuracy Wood Tree	Iou Asphalt	Accuracy Asphalt	Validation Loss	Eval Runtime	Eval Samples Per Second	Eval Steps Per Second
267.7158	2.6923	350	0.2601	0.2862	0.6401	0.0085	0.0085	0.0868	0.0932	0.0856	0.0866	0.3492	0.4594	0.5437	0.5748	0.5881	0.6084	0.4674	0.5054	0.0	0.0	0.0056	0.0057	0.7879	0.8479	0.0	0.0	0.8148	0.8730	0.6555	0.7173	0.6899	0.8011	0.5437	0.5947	0.7213	0.8154	0.0	0.0	0.1783	0.1846	0.0	0.0	0.2622	0.2913	0.5424	0.5714	0.6809	0.7217	0.5221	0.6370	0.1989	0.2037	0.0959	0.0988	0.1788	0.1874	0.0902	0.0935	0.0	0.0	0.7405	0.8433	0.9166	0.9356	0.0	0.0	0.2165	0.3940	0.2461	0.2871	0.0	0.0	0.4774	0.4965	0.0861	0.0861	0.8316	0.8953	0.0	0.0	0.0659	0.0713	0.0765	0.0771	0.5712	0.6046	0.1978	0.2083	0.0	0.0	267.4597	22.6589	23.302	11.651
267.7158	2.6923	350	0.2601	0.2862	0.6401	0.0085	0.0085	0.0868	0.0932	0.0856	0.0866	0.3492	0.4594	0.5437	0.5748	0.5881	0.6084	0.4674	0.5054	0.0	0.0	0.0056	0.0057	0.7879	0.8479	0.0	0.0	0.8148	0.8730	0.6555	0.7173	0.6899	0.8011	0.5437	0.5947	0.7213	0.8154	0.0	0.0	0.1783	0.1846	0.0	0.0	0.2622	0.2913	0.5424	0.5714	0.6809	0.7217	0.5221	0.6370	0.1989	0.2037	0.0959	0.0988	0.1788	0.1874	0.0902	0.0935	0.0	0.0	0.7405	0.8433	0.9166	0.9356	0.0	0.0	0.2165	0.3940	0.2461	0.2871	0.0	0.0	0.4774	0.4965	0.0861	0.0861	0.8316	0.8953	0.0	0.0	0.0659	0.0713	0.0765	0.0771	0.5712	0.6046	0.1978	0.2083	0.0	0.0	267.4597	22.6589	23.302	11.651
245.1085	5.3846	700	0.3041	0.3361	0.7098	0.0182	0.0208	0.1368	0.1553	0.1631	0.1643	0.2799	0.2813	0.5725	0.5974	0.7514	0.7801	0.5978	0.6452	0.1702	0.1721	0.0082	0.0082	0.7947	0.8433	0.0	0.0	0.8388	0.9183	0.7209	0.8498	0.7180	0.8774	0.6148	0.6730	0.7409	0.8483	0.0	0.0	0.2161	0.2256	0.0	0.0	0.2898	0.3229	0.4960	0.6447	0.7434	0.8270	0.5921	0.6547	0.3343	0.3915	0.0886	0.1110	0.2851	0.3165	0.3827	0.4141	0.0	0.0	0.7623	0.8460	0.9030	0.9217	0.0	0.0	0.0291	0.0304	0.3609	0.4393	0.0	0.0	0.4151	0.4244	0.0	0.0	0.8191	0.8930	0.0043	0.0043	0.4064	0.4949	0.2941	0.2985	0.7141	0.7868	0.1126	0.1165	0.4383	0.4800	262.5074	17.5919	30.014	15.007
245.1085	5.3846	700	0.3041	0.3361	0.7098	0.0182	0.0208	0.1368	0.1553	0.1631	0.1643	0.2799	0.2813	0.5725	0.5974	0.7514	0.7801	0.5978	0.6452	0.1702	0.1721	0.0082	0.0082	0.7947	0.8433	0.0	0.0	0.8388	0.9183	0.7209	0.8498	0.7180	0.8774	0.6148	0.6730	0.7409	0.8483	0.0	0.0	0.2161	0.2256	0.0	0.0	0.2898	0.3229	0.4960	0.6447	0.7434	0.8270	0.5921	0.6547	0.3343	0.3915	0.0886	0.1110	0.2851	0.3165	0.3827	0.4141	0.0	0.0	0.7623	0.8460	0.9030	0.9217	0.0	0.0	0.0291	0.0304	0.3609	0.4393	0.0	0.0	0.4151	0.4244	0.0	0.0	0.8191	0.8930	0.0043	0.0043	0.4064	0.4949	0.2941	0.2985	0.7141	0.7868	0.1126	0.1165	0.4383	0.4800	262.5074	17.5919	30.014	15.007
238.3395	8.0769	1050	0.3766	0.4235	0.7899	0.0416	0.0422	0.1001	0.1031	0.5793	0.6014	0.5708	0.6609	0.7199	0.7748	0.7763	0.8297	0.6370	0.7322	0.7133	0.7306	0.2106	0.2285	0.8163	0.8928	0.0083	0.0083	0.8308	0.9117	0.7285	0.9267	0.7629	0.8854	0.6541	0.7694	0.7553	0.8445	0.0	0.0	0.3390	0.3599	0.0012	0.0012	0.3941	0.5062	0.5606	0.6560	0.7490	0.8639	0.6475	0.7285	0.2894	0.3242	0.2796	0.3194	0.3883	0.4595	0.2333	0.2488	0.0003	0.0003	0.7755	0.8674	0.9295	0.9527	0.2393	0.2518	0.2675	0.4176	0.3424	0.4011	0.0726	0.0731	0.6613	0.8170	0.0625	0.0632	0.8237	0.8950	0.0466	0.0470	0.6700	0.7120	0.3577	0.3750	0.7531	0.8582	0.2752	0.3068	0.5193	0.5747	257.2004	19.3617	27.27	13.635
238.3395	8.0769	1050	0.3766	0.4235	0.7899	0.0416	0.0422	0.1001	0.1031	0.5793	0.6014	0.5708	0.6609	0.7199	0.7748	0.7763	0.8297	0.6370	0.7322	0.7133	0.7306	0.2106	0.2285	0.8163	0.8928	0.0083	0.0083	0.8308	0.9117	0.7285	0.9267	0.7629	0.8854	0.6541	0.7694	0.7553	0.8445	0.0	0.0	0.3390	0.3599	0.0012	0.0012	0.3941	0.5062	0.5606	0.6560	0.7490	0.8639	0.6475	0.7285	0.2894	0.3242	0.2796	0.3194	0.3883	0.4595	0.2333	0.2488	0.0003	0.0003	0.7755	0.8674	0.9295	0.9527	0.2393	0.2518	0.2675	0.4176	0.3424	0.4011	0.0726	0.0731	0.6613	0.8170	0.0625	0.0632	0.8237	0.8950	0.0466	0.0470	0.6700	0.7120	0.3577	0.3750	0.7531	0.8582	0.2752	0.3068	0.5193	0.5747	257.2004	19.3617	27.27	13.635
232.5290	10.7692	1400	0.3708	0.4082	0.7468	0.0090	0.0090	0.1127	0.1188	0.6153	0.6613	0.4381	0.4636	0.7065	0.7681	0.5983	0.6068	0.6753	0.7880	0.4985	0.5004	0.0187	0.0193	0.8225	0.8796	0.0020	0.0020	0.8369	0.8920	0.7050	0.9287	0.7167	0.8693	0.6582	0.7405	0.7516	0.8211	0.0	0.0	0.2974	0.3180	0.0002	0.0002	0.3778	0.4557	0.5688	0.6176	0.7548	0.8284	0.6359	0.7130	0.3274	0.3869	0.2050	0.2231	0.3246	0.3590	0.1779	0.1884	0.0393	0.0393	0.7773	0.8673	0.9374	0.9582	0.5757	0.6661	0.1975	0.2174	0.3844	0.4108	0.0226	0.0226	0.6568	0.7478	0.4183	0.4457	0.8461	0.8822	0.2074	0.2193	0.6784	0.7213	0.4699	0.5483	0.6750	0.7149	0.2811	0.3260	0.2772	0.2780	254.2219	16.8167	31.397	15.699
232.5290	10.7692	1400	0.3708	0.4082	0.7468	0.0090	0.0090	0.1127	0.1188	0.6153	0.6613	0.4381	0.4636	0.7065	0.7681	0.5983	0.6068	0.6753	0.7880	0.4985	0.5004	0.0187	0.0193	0.8225	0.8796	0.0020	0.0020	0.8369	0.8920	0.7050	0.9287	0.7167	0.8693	0.6582	0.7405	0.7516	0.8211	0.0	0.0	0.2974	0.3180	0.0002	0.0002	0.3778	0.4557	0.5688	0.6176	0.7548	0.8284	0.6359	0.7130	0.3274	0.3869	0.2050	0.2231	0.3246	0.3590	0.1779	0.1884	0.0393	0.0393	0.7773	0.8673	0.9374	0.9582	0.5757	0.6661	0.1975	0.2174	0.3844	0.4108	0.0226	0.0226	0.6568	0.7478	0.4183	0.4457	0.8461	0.8822	0.2074	0.2193	0.6784	0.7213	0.4699	0.5483	0.6750	0.7149	0.2811	0.3260	0.2772	0.2780	254.2219	16.8167	31.397	15.699
227.7363	13.4615	1750	0.4236	0.4698	0.7642	0.1525	0.1539	0.1698	0.1866	0.6741	0.7562	0.5705	0.6253	0.7069	0.7597	0.7773	0.8089	0.6760	0.7549	0.6837	0.8099	0.4006	0.5191	0.8228	0.8856	0.0782	0.0791	0.8386	0.9096	0.8332	0.8907	0.7477	0.8696	0.6498	0.7163	0.7640	0.8612	0.0	0.0	0.1649	0.1693	0.0147	0.0147	0.3548	0.4005	0.6236	0.6914	0.7543	0.8115	0.6599	0.7539	0.4176	0.4925	0.2814	0.3419	0.3030	0.3234	0.3944	0.4350	0.4487	0.4535	0.7807	0.8471	0.9421	0.9682	0.3708	0.4645	0.3536	0.4456	0.6166	0.7756	0.1470	0.1487	0.6162	0.6585	0.4355	0.5598	0.8205	0.9125	0.2105	0.2240	0.7230	0.7536	0.5940	0.6207	0.7428	0.8148	0.2579	0.2749	0.4543	0.4846	249.6761	18.3851	28.719	14.359
227.7363	13.4615	1750	0.4236	0.4698	0.7642	0.1525	0.1539	0.1698	0.1866	0.6741	0.7562	0.5705	0.6253	0.7069	0.7597	0.7773	0.8089	0.6760	0.7549	0.6837	0.8099	0.4006	0.5191	0.8228	0.8856	0.0782	0.0791	0.8386	0.9096	0.8332	0.8907	0.7477	0.8696	0.6498	0.7163	0.7640	0.8612	0.0	0.0	0.1649	0.1693	0.0147	0.0147	0.3548	0.4005	0.6236	0.6914	0.7543	0.8115	0.6599	0.7539	0.4176	0.4925	0.2814	0.3419	0.3030	0.3234	0.3944	0.4350	0.4487	0.4535	0.7807	0.8471	0.9421	0.9682	0.3708	0.4645	0.3536	0.4456	0.6166	0.7756	0.1470	0.1487	0.6162	0.6585	0.4355	0.5598	0.8205	0.9125	0.2105	0.2240	0.7230	0.7536	0.5940	0.6207	0.7428	0.8148	0.2579	0.2749	0.4543	0.4846	249.6761	18.3851	28.719	14.359
223.3414	16.1538	2100	0.4301	0.4730	0.7649	0.0706	0.0811	0.1351	0.1535	0.6565	0.7284	0.5340	0.5771	0.7359	0.7886	0.7759	0.8247	0.6639	0.7176	0.6795	0.6911	0.3741	0.4271	0.8199	0.8757	0.1605	0.2253	0.8441	0.9024	0.8690	0.9146	0.7603	0.8581	0.6461	0.7091	0.7652	0.8429	0.0	0.0	0.4303	0.4601	0.0016	0.0016	0.4039	0.4723	0.6167	0.6665	0.7446	0.7999	0.6216	0.6671	0.3426	0.4318	0.2705	0.3059	0.3660	0.4095	0.4137	0.4384	0.4177	0.4426	0.7878	0.8659	0.9421	0.9693	0.4136	0.4157	0.3368	0.4123	0.5643	0.7529	0.0659	0.0660	0.6555	0.7188	0.4169	0.5325	0.8055	0.9149	0.2832	0.2929	0.7676	0.7833	0.5452	0.6203	0.7517	0.8223	0.3666	0.3995	0.5420	0.6165	247.9917	20.4657	25.799	12.9
223.3414	16.1538	2100	0.4301	0.4730	0.7649	0.0706	0.0811	0.1351	0.1535	0.6565	0.7284	0.5340	0.5771	0.7359	0.7886	0.7759	0.8247	0.6639	0.7176	0.6795	0.6911	0.3741	0.4271	0.8199	0.8757	0.1605	0.2253	0.8441	0.9024	0.8690	0.9146	0.7603	0.8581	0.6461	0.7091	0.7652	0.8429	0.0	0.0	0.4303	0.4601	0.0016	0.0016	0.4039	0.4723	0.6167	0.6665	0.7446	0.7999	0.6216	0.6671	0.3426	0.4318	0.2705	0.3059	0.3660	0.4095	0.4137	0.4384	0.4177	0.4426	0.7878	0.8659	0.9421	0.9693	0.4136	0.4157	0.3368	0.4123	0.5643	0.7529	0.0659	0.0660	0.6555	0.7188	0.4169	0.5325	0.8055	0.9149	0.2832	0.2929	0.7676	0.7833	0.5452	0.6203	0.7517	0.8223	0.3666	0.3995	0.5420	0.6165	247.9917	20.4657	25.799	12.9
218.7261	18.8462	2450	0.4167	0.4481	0.7354	0.5974	0.6299	0.1423	0.1492	0.6151	0.6581	0.5105	0.5245	0.7110	0.7679	0.6066	0.6188	0.6513	0.7002	0.7374	0.7611	0.3087	0.3738	0.8201	0.8716	0.0497	0.0497	0.8376	0.8937	0.8608	0.8972	0.8117	0.8575	0.6404	0.6954	0.7708	0.8635	0.0	0.0	0.2354	0.2447	0.0	0.0	0.3886	0.4400	0.5851	0.6287	0.7394	0.7949	0.6151	0.6630	0.1149	0.1165	0.2433	0.2738	0.2826	0.3003	0.3924	0.4136	0.3161	0.3652	0.7897	0.8723	0.9413	0.9607	0.6527	0.6580	0.3867	0.4840	0.5215	0.6070	0.0001	0.0001	0.6090	0.6471	0.4214	0.4895	0.8302	0.9108	0.1135	0.1174	0.7509	0.7704	0.6039	0.6381	0.6936	0.7307	0.2456	0.2620	0.5250	0.6013	245.4142	17.3336	30.461	15.231
218.7261	18.8462	2450	0.4167	0.4481	0.7354	0.5974	0.6299	0.1423	0.1492	0.6151	0.6581	0.5105	0.5245	0.7110	0.7679	0.6066	0.6188	0.6513	0.7002	0.7374	0.7611	0.3087	0.3738	0.8201	0.8716	0.0497	0.0497	0.8376	0.8937	0.8608	0.8972	0.8117	0.8575	0.6404	0.6954	0.7708	0.8635	0.0	0.0	0.2354	0.2447	0.0	0.0	0.3886	0.4400	0.5851	0.6287	0.7394	0.7949	0.6151	0.6630	0.1149	0.1165	0.2433	0.2738	0.2826	0.3003	0.3924	0.4136	0.3161	0.3652	0.7897	0.8723	0.9413	0.9607	0.6527	0.6580	0.3867	0.4840	0.5215	0.6070	0.0001	0.0001	0.6090	0.6471	0.4214	0.4895	0.8302	0.9108	0.1135	0.1174	0.7509	0.7704	0.6039	0.6381	0.6936	0.7307	0.2456	0.2620	0.5250	0.6013	245.4142	17.3336	30.461	15.231
214.1712	21.5385	2800	0.4641	0.5162	0.7868	0.4760	0.5415	0.2095	0.2195	0.6452	0.6962	0.5722	0.6133	0.7276	0.7825	0.8037	0.8394	0.7173	0.8011	0.8462	0.8663	0.3890	0.4667	0.8221	0.8683	0.0659	0.0662	0.8328	0.8928	0.8391	0.9415	0.7962	0.8623	0.6706	0.7355	0.7751	0.8625	0.2824	0.2847	0.4085	0.4458	0.0046	0.0046	0.4194	0.4891	0.6246	0.7103	0.7643	0.8334	0.6667	0.7391	0.4247	0.5188	0.3107	0.3487	0.4177	0.5067	0.4236	0.4829	0.3541	0.4300	0.7941	0.8796	0.9429	0.9609	0.6047	0.8542	0.4305	0.5509	0.6159	0.7351	0.1256	0.1266	0.6542	0.7075	0.4311	0.5278	0.8416	0.9088	0.3584	0.3812	0.8118	0.8307	0.6142	0.6663	0.7554	0.8351	0.3587	0.4475	0.5056	0.5802	241.0059	19.1678	27.546	13.773
214.1712	21.5385	2800	0.4641	0.5162	0.7868	0.4760	0.5415	0.2095	0.2195	0.6452	0.6962	0.5722	0.6133	0.7276	0.7825	0.8037	0.8394	0.7173	0.8011	0.8462	0.8663	0.3890	0.4667	0.8221	0.8683	0.0659	0.0662	0.8328	0.8928	0.8391	0.9415	0.7962	0.8623	0.6706	0.7355	0.7751	0.8625	0.2824	0.2847	0.4085	0.4458	0.0046	0.0046	0.4194	0.4891	0.6246	0.7103	0.7643	0.8334	0.6667	0.7391	0.4247	0.5188	0.3107	0.3487	0.4177	0.5067	0.4236	0.4829	0.3541	0.4300	0.7941	0.8796	0.9429	0.9609	0.6047	0.8542	0.4305	0.5509	0.6159	0.7351	0.1256	0.1266	0.6542	0.7075	0.4311	0.5278	0.8416	0.9088	0.3584	0.3812	0.8118	0.8307	0.6142	0.6663	0.7554	0.8351	0.3587	0.4475	0.5056	0.5802	241.0059	19.1678	27.546	13.773
210.3892	24.2308	3150	0.4657	0.5180	0.7713	0.5851	0.6543	0.2051	0.2172	0.6755	0.7288	0.5723	0.6081	0.6941	0.7427	0.7948	0.8315	0.6865	0.7631	0.8497	0.8595	0.3762	0.4624	0.8247	0.8732	0.2320	0.2752	0.8441	0.9053	0.9030	0.9362	0.8065	0.8441	0.6673	0.7364	0.7758	0.8665	0.0006	0.0006	0.4797	0.5267	0.0012	0.0012	0.4027	0.4600	0.6415	0.7560	0.7519	0.8079	0.6367	0.6845	0.3691	0.4369	0.3335	0.4234	0.3612	0.3970	0.4328	0.4961	0.3838	0.5079	0.7987	0.8845	0.9455	0.9655	0.6076	0.8706	0.4227	0.5805	0.6542	0.7993	0.1503	0.1509	0.6594	0.7212	0.3781	0.4505	0.8682	0.9016	0.3418	0.3628	0.8466	0.8924	0.6065	0.6550	0.7333	0.7971	0.3823	0.4664	0.5324	0.6366	239.5489	17.8361	29.603	14.801
210.3892	24.2308	3150	0.4657	0.5180	0.7713	0.5851	0.6543	0.2051	0.2172	0.6755	0.7288	0.5723	0.6081	0.6941	0.7427	0.7948	0.8315	0.6865	0.7631	0.8497	0.8595	0.3762	0.4624	0.8247	0.8732	0.2320	0.2752	0.8441	0.9053	0.9030	0.9362	0.8065	0.8441	0.6673	0.7364	0.7758	0.8665	0.0006	0.0006	0.4797	0.5267	0.0012	0.0012	0.4027	0.4600	0.6415	0.7560	0.7519	0.8079	0.6367	0.6845	0.3691	0.4369	0.3335	0.4234	0.3612	0.3970	0.4328	0.4961	0.3838	0.5079	0.7987	0.8845	0.9455	0.9655	0.6076	0.8706	0.4227	0.5805	0.6542	0.7993	0.1503	0.1509	0.6594	0.7212	0.3781	0.4505	0.8682	0.9016	0.3418	0.3628	0.8466	0.8924	0.6065	0.6550	0.7333	0.7971	0.3823	0.4664	0.5324	0.6366	239.5489	17.8361	29.603	14.801
206.0473	26.9231	3500	0.4782	0.5298	0.7736	0.7177	0.8074	0.2956	0.3366	0.6648	0.7190	0.5281	0.5447	0.7151	0.7688	0.7964	0.8450	0.7116	0.7821	0.7773	0.8039	0.3548	0.4240	0.8222	0.8711	0.2754	0.2805	0.8457	0.9006	0.8740	0.9331	0.8131	0.8486	0.6673	0.7263	0.7775	0.8581	0.3711	0.4358	0.4440	0.4902	0.0000	0.0000	0.3907	0.4526	0.5627	0.6703	0.7592	0.8201	0.6766	0.7514	0.3823	0.4468	0.2907	0.3248	0.4003	0.4537	0.4529	0.4960	0.4713	0.6370	0.7992	0.8917	0.9413	0.9613	0.6426	0.7941	0.3950	0.4799	0.6446	0.7997	0.0680	0.0685	0.6137	0.6524	0.4511	0.5627	0.8534	0.9138	0.5788	0.6211	0.8125	0.8756	0.6145	0.6645	0.7371	0.7967	0.3461	0.4284	0.5304	0.6106	236.6377	19.9134	26.515	13.257
206.0473	26.9231	3500	0.4782	0.5298	0.7736	0.7177	0.8074	0.2956	0.3366	0.6648	0.7190	0.5281	0.5447	0.7151	0.7688	0.7964	0.8450	0.7116	0.7821	0.7773	0.8039	0.3548	0.4240	0.8222	0.8711	0.2754	0.2805	0.8457	0.9006	0.8740	0.9331	0.8131	0.8486	0.6673	0.7263	0.7775	0.8581	0.3711	0.4358	0.4440	0.4902	0.0000	0.0000	0.3907	0.4526	0.5627	0.6703	0.7592	0.8201	0.6766	0.7514	0.3823	0.4468	0.2907	0.3248	0.4003	0.4537	0.4529	0.4960	0.4713	0.6370	0.7992	0.8917	0.9413	0.9613	0.6426	0.7941	0.3950	0.4799	0.6446	0.7997	0.0680	0.0685	0.6137	0.6524	0.4511	0.5627	0.8534	0.9138	0.5788	0.6211	0.8125	0.8756	0.6145	0.6645	0.7371	0.7967	0.3461	0.4284	0.5304	0.6106	236.6377	19.9134	26.515	13.257
202.7686	29.6154	3850	0.4841	0.5351	0.7673	0.7420	0.8123	0.3245	0.3659	0.6528	0.7062	0.5854	0.6218	0.7140	0.7639	0.7312	0.7628	0.6743	0.7392	0.7526	0.7628	0.3576	0.4336	0.8278	0.8808	0.4465	0.4543	0.8398	0.9016	0.8527	0.9326	0.8177	0.8506	0.6659	0.7212	0.7800	0.8535	0.3654	0.4373	0.4600	0.4993	0.0074	0.0074	0.4098	0.4913	0.6123	0.6696	0.7402	0.7929	0.6622	0.7242	0.3501	0.3912	0.3395	0.3871	0.3798	0.4300	0.4260	0.4805	0.4683	0.6372	0.8019	0.8973	0.9539	0.9718	0.6802	0.8011	0.4368	0.6124	0.6259	0.7386	0.1001	0.1003	0.6658	0.7170	0.4196	0.5334	0.8645	0.9063	0.6759	0.7348	0.7770	0.7988	0.6062	0.6644	0.7360	0.7939	0.3222	0.4323	0.5224	0.6135	234.1636	18.1634	29.069	14.535
202.7686	29.6154	3850	0.4841	0.5351	0.7673	0.7420	0.8123	0.3245	0.3659	0.6528	0.7062	0.5854	0.6218	0.7140	0.7639	0.7312	0.7628	0.6743	0.7392	0.7526	0.7628	0.3576	0.4336	0.8278	0.8808	0.4465	0.4543	0.8398	0.9016	0.8527	0.9326	0.8177	0.8506	0.6659	0.7212	0.7800	0.8535	0.3654	0.4373	0.4600	0.4993	0.0074	0.0074	0.4098	0.4913	0.6123	0.6696	0.7402	0.7929	0.6622	0.7242	0.3501	0.3912	0.3395	0.3871	0.3798	0.4300	0.4260	0.4805	0.4683	0.6372	0.8019	0.8973	0.9539	0.9718	0.6802	0.8011	0.4368	0.6124	0.6259	0.7386	0.1001	0.1003	0.6658	0.7170	0.4196	0.5334	0.8645	0.9063	0.6759	0.7348	0.7770	0.7988	0.6062	0.6644	0.7360	0.7939	0.3222	0.4323	0.5224	0.6135	234.1636	18.1634	29.069	14.535
199.9323	32.3077	4200	0.4887	0.5386	0.7661	0.7497	0.8162	0.3068	0.3345	0.6643	0.7159	0.5764	0.6376	0.7177	0.7673	0.7323	0.7630	0.6842	0.7484	0.7962	0.8039	0.3408	0.3991	0.8262	0.8713	0.5329	0.5434	0.8401	0.8966	0.8587	0.9388	0.8084	0.8397	0.6743	0.7274	0.7817	0.8634	0.3691	0.4366	0.4709	0.5157	0.0065	0.0066	0.4082	0.4711	0.6431	0.7066	0.7487	0.8037	0.6618	0.7233	0.3746	0.4453	0.3080	0.3618	0.3770	0.4236	0.4441	0.4869	0.4759	0.6481	0.8032	0.8881	0.9536	0.9727	0.6829	0.8048	0.4331	0.5625	0.5565	0.6699	0.1023	0.1025	0.6281	0.6667	0.4585	0.5958	0.8661	0.9110	0.6871	0.7423	0.8088	0.8577	0.6040	0.6624	0.7352	0.7855	0.3643	0.4418	0.5512	0.6488	233.8890	18.1595	29.076	14.538
199.9323	32.3077	4200	0.4887	0.5386	0.7661	0.7497	0.8162	0.3068	0.3345	0.6643	0.7159	0.5764	0.6376	0.7177	0.7673	0.7323	0.7630	0.6842	0.7484	0.7962	0.8039	0.3408	0.3991	0.8262	0.8713	0.5329	0.5434	0.8401	0.8966	0.8587	0.9388	0.8084	0.8397	0.6743	0.7274	0.7817	0.8634	0.3691	0.4366	0.4709	0.5157	0.0065	0.0066	0.4082	0.4711	0.6431	0.7066	0.7487	0.8037	0.6618	0.7233	0.3746	0.4453	0.3080	0.3618	0.3770	0.4236	0.4441	0.4869	0.4759	0.6481	0.8032	0.8881	0.9536	0.9727	0.6829	0.8048	0.4331	0.5625	0.5565	0.6699	0.1023	0.1025	0.6281	0.6667	0.4585	0.5958	0.8661	0.9110	0.6871	0.7423	0.8088	0.8577	0.6040	0.6624	0.7352	0.7855	0.3643	0.4418	0.5512	0.6488	233.8890	18.1595	29.076	14.538
198.1101	35.0	4550	0.4945	0.5472	0.7757	0.6414	0.8089	0.2950	0.3205	0.6659	0.7306	0.6038	0.6407	0.7584	0.8248	0.7683	0.8034	0.7005	0.7672	0.8570	0.8643	0.3808	0.4526	0.8312	0.8793	0.5067	0.5174	0.8486	0.9056	0.8766	0.9341	0.7914	0.8223	0.6831	0.7432	0.7830	0.8659	0.3672	0.4373	0.4465	0.4901	0.0450	0.0454	0.4026	0.4680	0.6520	0.7235	0.7508	0.8045	0.6671	0.7335	0.3463	0.3959	0.3190	0.3680	0.3891	0.4403	0.4500	0.4963	0.4728	0.6441	0.8044	0.8915	0.9544	0.9730	0.6828	0.8047	0.4381	0.5754	0.6066	0.7405	0.1756	0.1777	0.6543	0.6978	0.4536	0.6098	0.8762	0.9122	0.6879	0.7470	0.8198	0.8433	0.6009	0.6565	0.7399	0.7942	0.3710	0.4431	0.5478	0.6595	232.6854	17.7407	29.762	14.881
198.1101	35.0	4550	0.4945	0.5472	0.7757	0.6414	0.8089	0.2950	0.3205	0.6659	0.7306	0.6038	0.6407	0.7584	0.8248	0.7683	0.8034	0.7005	0.7672	0.8570	0.8643	0.3808	0.4526	0.8312	0.8793	0.5067	0.5174	0.8486	0.9056	0.8766	0.9341	0.7914	0.8223	0.6831	0.7432	0.7830	0.8659	0.3672	0.4373	0.4465	0.4901	0.0450	0.0454	0.4026	0.4680	0.6520	0.7235	0.7508	0.8045	0.6671	0.7335	0.3463	0.3959	0.3190	0.3680	0.3891	0.4403	0.4500	0.4963	0.4728	0.6441	0.8044	0.8915	0.9544	0.9730	0.6828	0.8047	0.4381	0.5754	0.6066	0.7405	0.1756	0.1777	0.6543	0.6978	0.4536	0.6098	0.8762	0.9122	0.6879	0.7470	0.8198	0.8433	0.6009	0.6565	0.7399	0.7942	0.3710	0.4431	0.5478	0.6595	232.6854	17.7407	29.762	14.881
196.7377	37.6923	4900	0.4924	0.5439	0.7754	0.5138	0.6616	0.3034	0.3308	0.6460	0.7062	0.6173	0.6630	0.7423	0.7982	0.7604	0.7921	0.7092	0.7840	0.7850	0.7920	0.3578	0.4204	0.8297	0.8762	0.5141	0.5263	0.8411	0.9001	0.8853	0.9362	0.7892	0.8188	0.6774	0.7394	0.7840	0.8635	0.3668	0.4372	0.4687	0.5153	0.0397	0.0407	0.4040	0.4706	0.6503	0.7135	0.7540	0.8088	0.6587	0.7244	0.3588	0.3986	0.3451	0.3924	0.3908	0.4459	0.4497	0.4965	0.4740	0.6465	0.8049	0.8875	0.9551	0.9747	0.6837	0.8071	0.4678	0.6047	0.6381	0.7449	0.1520	0.1533	0.6568	0.7024	0.4606	0.6150	0.8683	0.9125	0.6867	0.7402	0.8120	0.8484	0.6058	0.6636	0.7397	0.7946	0.3763	0.4487	0.5823	0.6888	232.1999	18.6089	28.374	14.187
196.7377	37.6923	4900	0.4924	0.5439	0.7754	0.5138	0.6616	0.3034	0.3308	0.6460	0.7062	0.6173	0.6630	0.7423	0.7982	0.7604	0.7921	0.7092	0.7840	0.7850	0.7920	0.3578	0.4204	0.8297	0.8762	0.5141	0.5263	0.8411	0.9001	0.8853	0.9362	0.7892	0.8188	0.6774	0.7394	0.7840	0.8635	0.3668	0.4372	0.4687	0.5153	0.0397	0.0407	0.4040	0.4706	0.6503	0.7135	0.7540	0.8088	0.6587	0.7244	0.3588	0.3986	0.3451	0.3924	0.3908	0.4459	0.4497	0.4965	0.4740	0.6465	0.8049	0.8875	0.9551	0.9747	0.6837	0.8071	0.4678	0.6047	0.6381	0.7449	0.1520	0.1533	0.6568	0.7024	0.4606	0.6150	0.8683	0.9125	0.6867	0.7402	0.8120	0.8484	0.6058	0.6636	0.7397	0.7946	0.3763	0.4487	0.5823	0.6888	232.1999	18.6089	28.374	14.187

Framework versions

Transformers 5.0.0
Pytorch 2.9.1+cu128
Datasets 4.5.0
Tokenizers 0.22.2

AllanK24/mask2former-swin-large-apple-dms-v2-run2

mask2former-swin-large-apple-dms-v2-run2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AllanK24/
mask2former-swin-large-apple-dms-v2-run2