generated_from_trainer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

segformer-b0_DsMetalDam_NoBright_Augmented_Cropped

This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Accuracy Matrix Accuracy Austenite Accuracy Martensite/austenite Accuracy Precipitate Accuracy Defect Iou Matrix Iou Austenite Iou Martensite/austenite Iou Precipitate Iou Defect
0.4584 1.0 272 0.4505 0.5157 0.5969 0.8464 0.8792 0.9262 0.2774 0.0 0.9015 0.7053 0.8328 0.2627 0.0 0.7779
0.2925 2.0 544 0.3665 0.5763 0.6670 0.8655 0.8262 0.9330 0.6344 0.0 0.9413 0.7206 0.8501 0.4845 0.0 0.8266
0.3749 3.0 816 0.3568 0.5810 0.6814 0.8653 0.8274 0.9165 0.7248 0.0 0.9384 0.7212 0.8540 0.4993 0.0 0.8308
0.2736 4.0 1088 0.3249 0.5920 0.6726 0.8764 0.8387 0.9439 0.6405 0.0 0.9397 0.7400 0.8596 0.5157 0.0 0.8446
0.3164 5.0 1360 0.3070 0.6039 0.6895 0.8841 0.8875 0.9180 0.6928 0.0 0.9493 0.7610 0.8646 0.5548 0.0 0.8394
0.3564 6.0 1632 0.2998 0.6040 0.6990 0.8854 0.8503 0.9336 0.7525 0.0 0.9588 0.7572 0.8679 0.5741 0.0 0.8206
0.2259 7.0 1904 0.2936 0.6140 0.6860 0.8906 0.8955 0.9280 0.6752 0.0 0.9311 0.7696 0.8730 0.5698 0.0 0.8576
0.2193 8.0 2176 0.2777 0.6192 0.7030 0.8950 0.8824 0.9338 0.7338 0.0 0.9651 0.7763 0.8745 0.6090 0.0 0.8361
0.2692 9.0 2448 0.2774 0.6212 0.7061 0.8939 0.8731 0.9321 0.7680 0.0 0.9572 0.7734 0.8759 0.6053 0.0 0.8516
0.258 10.0 2720 0.2693 0.6260 0.7114 0.8974 0.8671 0.9387 0.7888 0.0005 0.9619 0.7787 0.8770 0.6305 0.0005 0.8433
0.2413 11.0 2992 0.2647 0.6317 0.7055 0.8998 0.8783 0.9420 0.7535 0.0010 0.9525 0.7835 0.8789 0.6321 0.0010 0.8632
0.2519 12.0 3264 0.2610 0.6362 0.7122 0.9019 0.8783 0.9426 0.7724 0.0070 0.9609 0.7877 0.8797 0.6479 0.0070 0.8586
0.2985 13.0 3536 0.2595 0.6508 0.7216 0.9021 0.8783 0.9431 0.7701 0.0642 0.9521 0.7881 0.8810 0.6419 0.0609 0.8823
0.1429 14.0 3808 0.2553 0.6552 0.7304 0.9045 0.8912 0.9321 0.8125 0.0623 0.9540 0.7948 0.8820 0.6609 0.0590 0.8794
0.3317 15.0 4080 0.2617 0.6484 0.7187 0.9048 0.8865 0.9475 0.7424 0.0527 0.9644 0.7945 0.8828 0.6469 0.0502 0.8678
0.2437 16.0 4352 0.2495 0.6572 0.7296 0.9071 0.8892 0.9383 0.8119 0.0545 0.9541 0.7994 0.8846 0.6702 0.0524 0.8794
0.2262 17.0 4624 0.2508 0.6634 0.7270 0.9081 0.8991 0.9415 0.7665 0.0911 0.9370 0.8016 0.8860 0.6627 0.0849 0.8819
0.3598 18.0 4896 0.2472 0.6695 0.7443 0.9072 0.8726 0.9468 0.8215 0.1279 0.9527 0.7965 0.8851 0.6747 0.1146 0.8769
0.2139 19.0 5168 0.2433 0.6613 0.7415 0.9083 0.8841 0.9401 0.8305 0.0859 0.9669 0.8004 0.8874 0.6747 0.0808 0.8634
0.2296 20.0 5440 0.2446 0.6838 0.7598 0.9096 0.8914 0.9428 0.7992 0.2142 0.9516 0.8037 0.8875 0.6764 0.1722 0.8795
0.1481 21.0 5712 0.2408 0.6820 0.7550 0.9113 0.8928 0.9423 0.8155 0.1627 0.9615 0.8064 0.8892 0.6859 0.1408 0.8876
0.1734 22.0 5984 0.2478 0.6653 0.7292 0.9114 0.9144 0.9353 0.7816 0.0636 0.9512 0.8092 0.8875 0.6850 0.0616 0.8835
0.197 23.0 6256 0.2379 0.6747 0.7441 0.9130 0.8951 0.9474 0.7965 0.1149 0.9668 0.8097 0.8906 0.6902 0.1068 0.8763
0.1571 24.0 6528 0.2483 0.6773 0.7489 0.9120 0.9064 0.9372 0.8033 0.1306 0.9672 0.8103 0.8889 0.6864 0.1184 0.8823
0.1778 25.0 6800 0.2405 0.6899 0.7690 0.9122 0.9057 0.9355 0.8155 0.2224 0.9658 0.8098 0.8895 0.6906 0.1818 0.8780
0.2093 26.0 7072 0.2403 0.6855 0.7525 0.9138 0.9001 0.9447 0.8018 0.1600 0.9558 0.8122 0.8908 0.6936 0.1415 0.8894
0.2055 27.0 7344 0.2384 0.6823 0.7530 0.9141 0.8960 0.9486 0.7962 0.1546 0.9698 0.8119 0.8919 0.6928 0.1384 0.8765
0.1709 28.0 7616 0.2367 0.6906 0.7603 0.9152 0.8969 0.9485 0.8045 0.1884 0.9630 0.8144 0.8924 0.6997 0.1633 0.8834
0.206 29.0 7888 0.2374 0.6922 0.7640 0.9150 0.9018 0.9492 0.7797 0.2197 0.9698 0.8145 0.8925 0.6937 0.1836 0.8765
0.3099 30.0 8160 0.2370 0.6978 0.7718 0.9155 0.8973 0.9448 0.8277 0.2267 0.9626 0.8150 0.8931 0.7038 0.1880 0.8894
0.2932 31.0 8432 0.2345 0.6972 0.7716 0.9159 0.9064 0.9419 0.8144 0.2279 0.9675 0.8171 0.8932 0.7023 0.1876 0.8859
0.1847 32.0 8704 0.2340 0.6942 0.7670 0.9155 0.8924 0.9484 0.8246 0.2059 0.9634 0.8146 0.8934 0.7017 0.1753 0.8860
0.2105 33.0 8976 0.2316 0.7034 0.7817 0.9162 0.9019 0.9451 0.8149 0.2827 0.9641 0.8174 0.8938 0.7024 0.2173 0.8862
0.1999 34.0 9248 0.2339 0.6958 0.7642 0.9170 0.9014 0.9491 0.8038 0.2001 0.9664 0.8181 0.8945 0.7054 0.1717 0.8895
0.137 35.0 9520 0.2334 0.7043 0.7798 0.9166 0.9006 0.9439 0.8308 0.2675 0.9560 0.8177 0.8942 0.7069 0.2120 0.8909
0.1199 36.0 9792 0.2339 0.7001 0.7739 0.9172 0.8972 0.9493 0.8187 0.2339 0.9704 0.8182 0.8952 0.7070 0.1958 0.8846
0.1345 37.0 10064 0.2346 0.7074 0.7820 0.9173 0.9003 0.9478 0.8158 0.2853 0.9607 0.8191 0.8949 0.7067 0.2227 0.8938
0.147 38.0 10336 0.2354 0.7011 0.7779 0.9169 0.8983 0.9457 0.8321 0.2449 0.9683 0.8181 0.8949 0.7070 0.2020 0.8835
0.1549 39.0 10608 0.2345 0.6981 0.7646 0.9176 0.9029 0.9505 0.7960 0.2098 0.9641 0.8197 0.8949 0.7054 0.1807 0.8897
0.2041 40.0 10880 0.2347 0.7018 0.7738 0.9176 0.8956 0.9515 0.8163 0.2390 0.9668 0.8187 0.8954 0.7086 0.1983 0.8878
0.1228 41.0 11152 0.2342 0.7041 0.7819 0.9178 0.9032 0.9463 0.8191 0.2702 0.9709 0.8204 0.8956 0.7080 0.2153 0.8814
0.2097 42.0 11424 0.2336 0.7025 0.7730 0.9180 0.9015 0.9478 0.8204 0.2303 0.9648 0.8203 0.8959 0.7089 0.1935 0.8939
0.1179 43.0 11696 0.2337 0.7024 0.7728 0.9181 0.9059 0.9480 0.8033 0.2422 0.9644 0.8210 0.8959 0.7061 0.2010 0.8878
0.1822 44.0 11968 0.2368 0.7021 0.7701 0.9181 0.9005 0.9525 0.7974 0.2376 0.9626 0.8202 0.8960 0.7055 0.1975 0.8915
0.1745 45.0 12240 0.2336 0.7076 0.7822 0.9182 0.9053 0.9459 0.8186 0.2732 0.9678 0.8215 0.8959 0.7097 0.2180 0.8930
0.1906 46.0 12512 0.2357 0.7083 0.7788 0.9185 0.9029 0.9498 0.8081 0.2745 0.9587 0.8215 0.8964 0.7080 0.2194 0.8959
0.188 47.0 12784 0.2316 0.7048 0.7765 0.9187 0.9015 0.9490 0.8201 0.2451 0.9668 0.8217 0.8966 0.7118 0.2035 0.8905
0.1621 48.0 13056 0.2338 0.7053 0.7789 0.9188 0.9044 0.9480 0.8156 0.2563 0.9703 0.8223 0.8966 0.7112 0.2097 0.8869
0.1239 49.0 13328 0.2343 0.7063 0.7786 0.9189 0.9076 0.9463 0.8151 0.2573 0.9666 0.8229 0.8966 0.7115 0.2104 0.8899
0.1934 50.0 13600 0.2340 0.7058 0.7765 0.9189 0.9030 0.9494 0.8141 0.2512 0.9650 0.8221 0.8966 0.7116 0.2073 0.8915

Framework versions