generated_from_trainer

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segformer-b0_DsMetalDam_Train_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
0.4826 1.0 327 0.4735 0.5267 0.6425 0.8330 0.7351 0.9126 0.7551 0.0 0.8096 0.6604 0.8334 0.4020 0.0 0.7378
0.5204 2.0 654 0.3567 0.5622 0.6354 0.8720 0.8799 0.9316 0.4736 0.0 0.8919 0.7422 0.8521 0.4239 0.0 0.7931
0.1559 3.0 981 0.3234 0.5879 0.6646 0.8797 0.8867 0.9260 0.5670 0.0 0.9436 0.7525 0.8583 0.4930 0.0 0.8354
0.2957 4.0 1308 0.3037 0.5972 0.6781 0.8862 0.8723 0.9393 0.6163 0.0 0.9626 0.7625 0.8649 0.5289 0.0 0.8298
0.2695 5.0 1635 0.2920 0.6007 0.6923 0.8890 0.8703 0.9338 0.6929 0.0 0.9646 0.7681 0.8680 0.5577 0.0 0.8097
0.7461 6.0 1962 0.2805 0.6137 0.7045 0.8923 0.8600 0.9370 0.7549 0.0 0.9703 0.7724 0.8711 0.5850 0.0 0.8397
0.1637 7.0 2289 0.2660 0.6245 0.6967 0.8982 0.8940 0.9342 0.7024 0.0013 0.9516 0.7861 0.8753 0.5952 0.0013 0.8648
0.1495 8.0 2616 0.2676 0.6240 0.7089 0.8966 0.8657 0.9373 0.7813 0.0052 0.9550 0.7796 0.8760 0.6039 0.0052 0.8555
0.2658 9.0 2943 0.2620 0.6345 0.7127 0.9005 0.8747 0.9403 0.7699 0.0257 0.9529 0.7886 0.8772 0.6204 0.0250 0.8613
0.2517 10.0 3270 0.2532 0.6529 0.7218 0.9040 0.8884 0.9394 0.7607 0.0885 0.9321 0.7964 0.8797 0.6333 0.0799 0.8753
0.152 11.0 3597 0.2490 0.6606 0.7273 0.9052 0.8820 0.9475 0.7492 0.1412 0.9165 0.7971 0.8812 0.6373 0.1222 0.8652
0.4032 12.0 3924 0.2470 0.6606 0.7329 0.9062 0.8873 0.9406 0.7806 0.1045 0.9516 0.7997 0.8821 0.6464 0.0954 0.8796
0.1497 13.0 4251 0.2479 0.6608 0.7334 0.9069 0.8896 0.9415 0.7729 0.1016 0.9615 0.8015 0.8823 0.6487 0.0917 0.8797
0.2648 14.0 4578 0.2441 0.6580 0.7258 0.9081 0.8954 0.9399 0.7758 0.0742 0.9434 0.8048 0.8836 0.6521 0.0654 0.8841
0.2517 15.0 4905 0.2389 0.6858 0.7683 0.9101 0.8936 0.9468 0.7543 0.2911 0.9555 0.8077 0.8863 0.6557 0.1957 0.8838
0.4088 16.0 5232 0.2344 0.6849 0.7577 0.9116 0.8983 0.9425 0.7828 0.2164 0.9488 0.8104 0.8872 0.6676 0.1772 0.8821
0.7573 17.0 5559 0.2329 0.6893 0.7678 0.9127 0.8986 0.9443 0.7803 0.2521 0.9634 0.8126 0.8887 0.6713 0.1922 0.8818
0.361 18.0 5886 0.2352 0.6844 0.7547 0.9129 0.9003 0.9458 0.7686 0.2055 0.9534 0.8136 0.8890 0.6658 0.1672 0.8865
0.0933 19.0 6213 0.2302 0.6929 0.7691 0.9132 0.8960 0.9423 0.8121 0.2513 0.9435 0.8143 0.8891 0.6750 0.1950 0.8910
0.2342 20.0 6540 0.2325 0.6805 0.7436 0.9134 0.8885 0.9530 0.7799 0.1512 0.9456 0.8130 0.8886 0.6758 0.1313 0.8936
0.0977 21.0 6867 0.2303 0.6927 0.7679 0.9147 0.9033 0.9437 0.7897 0.2524 0.9502 0.8178 0.8902 0.6791 0.1890 0.8876
0.144 22.0 7194 0.2277 0.6921 0.7674 0.9146 0.8850 0.9539 0.7986 0.2441 0.9555 0.8149 0.8913 0.6788 0.1885 0.8872
0.093 23.0 7521 0.2298 0.6911 0.7612 0.9154 0.9035 0.9431 0.8014 0.2015 0.9564 0.8192 0.8910 0.6811 0.1643 0.8998
0.1885 24.0 7848 0.2231 0.6910 0.7651 0.9166 0.8901 0.9513 0.8184 0.1993 0.9667 0.8190 0.8933 0.6910 0.1647 0.8868
0.1533 25.0 8175 0.2208 0.6946 0.7786 0.9169 0.8939 0.9477 0.8263 0.2488 0.9765 0.8202 0.8937 0.6930 0.1962 0.8698
0.1924 26.0 8502 0.2250 0.6989 0.7688 0.9173 0.9060 0.9462 0.7923 0.2436 0.9558 0.8219 0.8941 0.6853 0.1948 0.8983
0.1499 27.0 8829 0.2227 0.7001 0.7698 0.9178 0.8955 0.9508 0.8132 0.2381 0.9511 0.8224 0.8939 0.6937 0.1901 0.9003
0.2098 28.0 9156 0.2212 0.7053 0.7788 0.9181 0.8947 0.9519 0.8127 0.2950 0.9395 0.8227 0.8947 0.6942 0.2184 0.8967
0.0973 29.0 9483 0.2181 0.6930 0.7643 0.9192 0.9014 0.9476 0.8256 0.1744 0.9723 0.8248 0.8957 0.7018 0.1574 0.8851
0.1031 30.0 9810 0.2197 0.7056 0.7822 0.9188 0.9089 0.9440 0.8100 0.2872 0.9610 0.8257 0.8946 0.6971 0.2147 0.8961
0.0886 31.0 10137 0.2221 0.7089 0.7898 0.9187 0.8989 0.9498 0.8115 0.3236 0.9653 0.8248 0.8948 0.6962 0.2319 0.8966
0.1318 32.0 10464 0.2216 0.7048 0.7767 0.9194 0.9103 0.9463 0.7981 0.2698 0.9590 0.8272 0.8949 0.6981 0.2085 0.8954
0.1206 33.0 10791 0.2188 0.7082 0.7860 0.9196 0.8973 0.9502 0.8280 0.2927 0.9617 0.8264 0.8964 0.6989 0.2195 0.8999
0.2152 34.0 11118 0.2179 0.7112 0.7846 0.9198 0.8937 0.9537 0.8234 0.2997 0.9523 0.8254 0.8963 0.7034 0.2279 0.9029
0.1581 35.0 11445 0.2170 0.7083 0.7839 0.9204 0.9043 0.9495 0.8116 0.2810 0.9729 0.8278 0.8970 0.7021 0.2257 0.8890
0.3181 36.0 11772 0.2185 0.7097 0.7850 0.9202 0.9128 0.9443 0.8080 0.2957 0.9641 0.8289 0.8960 0.7016 0.2241 0.8977
0.3164 37.0 12099 0.2172 0.7135 0.7907 0.9208 0.9103 0.9470 0.8074 0.3300 0.9587 0.8300 0.8969 0.7023 0.2379 0.9003
0.1082 38.0 12426 0.2180 0.7131 0.7859 0.9207 0.8981 0.9530 0.8199 0.3055 0.9530 0.8283 0.8973 0.7029 0.2345 0.9023
0.1884 39.0 12753 0.2187 0.7115 0.7851 0.9207 0.9010 0.9508 0.8223 0.2911 0.9604 0.8291 0.8969 0.7038 0.2256 0.9018
0.1169 40.0 13080 0.2171 0.7130 0.7858 0.9215 0.9066 0.9497 0.8146 0.2965 0.9616 0.8309 0.8978 0.7051 0.2286 0.9026
0.1622 41.0 13407 0.2160 0.7114 0.7808 0.9215 0.9020 0.9512 0.8260 0.2715 0.9532 0.8304 0.8979 0.7068 0.2183 0.9035
0.2682 42.0 13734 0.2164 0.7120 0.7840 0.9219 0.9054 0.9496 0.8255 0.2751 0.9647 0.8313 0.8985 0.7077 0.2206 0.9018
0.1214 43.0 14061 0.2159 0.7044 0.7717 0.9217 0.9083 0.9485 0.8199 0.2176 0.9641 0.8315 0.8978 0.7072 0.1835 0.9020
0.1344 44.0 14388 0.2153 0.7145 0.7906 0.9220 0.9039 0.9506 0.8251 0.3057 0.9677 0.8318 0.8985 0.7080 0.2338 0.9006
0.1233 45.0 14715 0.2142 0.7135 0.7859 0.9220 0.9063 0.9488 0.8285 0.2853 0.9606 0.8319 0.8986 0.7084 0.2253 0.9030
0.1819 46.0 15042 0.2150 0.7156 0.7878 0.9224 0.9058 0.9504 0.8244 0.2985 0.9601 0.8324 0.8989 0.7098 0.2327 0.9042
0.1338 47.0 15369 0.2159 0.7130 0.7846 0.9223 0.9080 0.9502 0.8151 0.2853 0.9646 0.8328 0.8987 0.7072 0.2247 0.9015
0.1299 48.0 15696 0.2129 0.7158 0.7882 0.9224 0.9017 0.9524 0.8288 0.2965 0.9617 0.8319 0.8989 0.7113 0.2336 0.9030
0.1295 49.0 16023 0.2163 0.7147 0.7854 0.9224 0.9120 0.9477 0.8157 0.2948 0.9567 0.8332 0.8986 0.7081 0.2296 0.9042
0.1567 50.0 16350 0.2158 0.7158 0.7885 0.9224 0.9019 0.9539 0.8174 0.3067 0.9625 0.8320 0.8988 0.7096 0.2363 0.9024

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