segformer-b1-from-scratch-run5

This model is a fine-tuned version of on the samitizerxu/kelp_data_rgbaa_swin_nir dataset. It achieves the following results on the evaluation set:

  • Iou Kelp: 0.2882
  • Loss: 0.7179

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: 0.0001
  • train_batch_size: 22
  • eval_batch_size: 22
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 80

Training results

Training Loss Epoch Step Iou Kelp Validation Loss
1.0 0.15 30 0.0113 0.9806
0.9993 0.29 60 0.0159 0.9691
0.9692 0.44 90 0.0179 0.9640
0.9912 0.59 120 0.0204 0.9532
0.9902 0.73 150 0.0099 0.9747
0.9912 0.88 180 0.0262 0.9330
0.9741 1.02 210 0.0155 0.9581
0.9737 1.17 240 0.0199 0.9319
0.9805 1.32 270 0.0233 0.9140
0.9574 1.46 300 0.0234 0.8942
0.8296 1.61 330 0.0119 0.9535
0.8707 1.76 360 0.0233 0.9085
0.976 1.9 390 0.0367 0.8714
0.9776 2.05 420 0.0424 0.8187
0.9663 2.2 450 0.0376 0.8124
0.9994 2.34 480 0.0323 0.8721
0.946 2.49 510 0.0466 0.8020
0.9993 2.63 540 0.0382 0.8266
0.9805 2.78 570 0.0249 0.9105
0.9506 2.93 600 0.0286 0.9019
0.9739 3.07 630 0.0267 0.9255
0.9843 3.22 660 0.0380 0.8543
0.9563 3.37 690 0.0339 0.8385
0.9353 3.51 720 0.0396 0.8547
0.9492 3.66 750 0.0392 0.7916
0.953 3.8 780 0.0445 0.7976
0.9752 3.95 810 0.0165 0.9435
0.9769 4.1 840 0.0536 0.7686
1.0 4.24 870 0.0238 0.9143
0.9739 4.39 900 0.0213 0.8626
0.9086 4.54 930 0.0415 0.8102
0.9557 4.68 960 0.0385 0.8055
1.0 4.83 990 0.0540 0.8136
1.0 4.98 1020 0.0258 0.8799
1.0 5.12 1050 0.0507 0.7994
0.9086 5.27 1080 0.0451 0.8493
0.9297 5.41 1110 0.0311 0.9036
0.963 5.56 1140 0.0549 0.7996
0.9109 5.71 1170 0.0461 0.7831
0.9822 5.85 1200 0.0306 0.8125
0.9447 6.0 1230 0.0151 0.9378
0.9725 6.15 1260 0.0192 0.8890
0.9619 6.29 1290 0.0401 0.8039
0.9653 6.44 1320 0.0457 0.7751
0.9357 6.59 1350 0.0498 0.7531
1.0 6.73 1380 0.0497 0.7618
0.9841 6.88 1410 0.0509 0.8379
1.0 7.02 1440 0.0223 0.9015
0.9479 7.17 1470 0.0827 0.8138
0.9955 7.32 1500 0.0177 0.8841
0.9758 7.46 1530 0.0217 0.9615
0.9912 7.61 1560 0.0395 0.7983
0.9923 7.76 1590 0.0205 0.8603
0.9387 7.9 1620 0.0489 0.7513
0.928 8.05 1650 0.0400 0.8886
0.9157 8.2 1680 0.0448 0.7630
0.9896 8.34 1710 0.0388 0.7792
0.9032 8.49 1740 0.0533 0.7399
0.9841 8.63 1770 0.0580 0.8018
0.969 8.78 1800 0.0576 0.7661
0.9661 8.93 1830 0.0486 0.7812
0.9758 9.07 1860 0.0491 0.7958
0.8972 9.22 1890 0.0392 0.7631
0.9413 9.37 1920 0.0467 0.8068
0.88 9.51 1950 0.0374 0.8465
0.9017 9.66 1980 0.0412 0.7847
0.9079 9.8 2010 0.0473 0.9055
0.8876 9.95 2040 0.0488 0.7668
0.9484 10.1 2070 0.0456 0.7815
0.9387 10.24 2100 0.0328 0.8699
1.0 10.39 2130 0.0403 0.7867
0.9391 10.54 2160 0.0797 0.9083
0.9452 10.68 2190 0.0460 0.8210
0.8905 10.83 2220 0.0407 0.7891
0.895 10.98 2250 0.0361 0.7920
0.9687 11.12 2280 0.0537 0.7589
0.9743 11.27 2310 0.0471 0.7990
0.9809 11.41 2340 0.0497 0.7483
0.9844 11.56 2370 0.0231 0.8341
0.9677 11.71 2400 0.0355 0.8333
0.9875 11.85 2430 0.0475 0.7670
0.8915 12.0 2460 0.0685 0.9265
1.0 12.15 2490 0.0460 0.7805
0.9952 12.29 2520 0.0452 0.7596
0.968 12.44 2550 0.0476 0.8224
0.9221 12.59 2580 0.0270 0.8552
1.0 12.73 2610 0.0482 0.8761
0.9677 12.88 2640 0.0233 0.9088
0.9399 13.02 2670 0.0155 0.8832
0.9534 13.17 2700 0.0445 0.7967
0.9264 13.32 2730 0.0687 0.7580
0.9594 13.46 2760 0.0649 0.7650
0.9733 13.61 2790 0.1277 0.7837
0.9397 13.76 2820 0.0871 0.7793
0.9999 13.9 2850 0.1863 0.7651
0.9368 14.05 2880 0.0573 0.8260
0.9296 14.2 2910 0.1523 0.8077
0.9407 14.34 2940 0.0486 0.7525
0.9448 14.49 2970 0.1615 0.8279
0.9695 14.63 3000 0.1231 0.8339
1.0 14.78 3030 0.0798 0.7823
0.9565 14.93 3060 0.2063 0.7564
0.9434 15.07 3090 0.2314 0.7536
0.978 15.22 3120 0.2240 0.7475
0.9401 15.37 3150 0.1385 0.7721
0.9665 15.51 3180 0.1396 0.7992
0.9607 15.66 3210 0.0736 0.7447
0.9512 15.8 3240 0.1348 0.7992
0.9181 15.95 3270 0.0985 0.7430
0.9417 16.1 3300 0.0462 0.7904
0.9385 16.24 3330 0.1473 0.8078
0.9384 16.39 3360 0.0561 0.7395
0.9326 16.54 3390 0.2212 0.7423
0.9799 16.68 3420 0.1509 0.8205
0.8899 16.83 3450 0.0716 0.7786
0.9754 16.98 3480 0.2254 0.7361
0.9647 17.12 3510 0.1768 0.8012
0.9362 17.27 3540 0.1584 0.8134
0.9779 17.41 3570 0.1196 0.7518
0.9326 17.56 3600 0.1921 0.7676
0.9614 17.71 3630 0.2033 0.7342
0.9622 17.85 3660 0.1299 0.7386
0.8703 18.0 3690 0.1533 0.8180
0.9459 18.15 3720 0.1504 0.7256
0.9859 18.29 3750 0.1865 0.7652
1.0 18.44 3780 0.1511 0.8045
0.9593 18.59 3810 0.2293 0.7607
0.9583 18.73 3840 0.1890 0.7308
0.9058 18.88 3870 0.1851 0.7870
0.953 19.02 3900 0.2030 0.7624
0.924 19.17 3930 0.1239 0.7849
0.9019 19.32 3960 0.2305 0.7485
0.9314 19.46 3990 0.1032 0.7293
0.8895 19.61 4020 0.1637 0.7956
0.9486 19.76 4050 0.0799 0.9128
0.8784 19.9 4080 0.0754 0.7671
0.9142 20.05 4110 0.1488 0.7567
1.0 20.2 4140 0.2080 0.7380
0.9176 20.34 4170 0.1782 0.7515
0.9215 20.49 4200 0.0930 0.7288
0.963 20.63 4230 0.1857 0.7506
0.9146 20.78 4260 0.2212 0.7408
0.9294 20.93 4290 0.2064 0.7323
0.8854 21.07 4320 0.2075 0.7473
0.9865 21.22 4350 0.1653 0.8171
0.9438 21.37 4380 0.1411 0.7523
0.9429 21.51 4410 0.2108 0.7613
0.9502 21.66 4440 0.2271 0.7374
0.9093 21.8 4470 0.1920 0.7653
0.9336 21.95 4500 0.0891 0.7500
0.9152 22.1 4530 0.1585 0.8189
0.9153 22.24 4560 0.2616 0.7239
0.8398 22.39 4590 0.2169 0.7510
0.9471 22.54 4620 0.2007 0.7289
0.9388 22.68 4650 0.2111 0.7689
0.9369 22.83 4680 0.2244 0.7177
0.9456 22.98 4710 0.1363 0.8247
0.9103 23.12 4740 0.2565 0.7335
1.0 23.27 4770 0.2031 0.7671
1.0 23.41 4800 0.1743 0.7442
0.879 23.56 4830 0.2156 0.7588
0.9668 23.71 4860 0.1453 0.8305
0.9327 23.85 4890 0.2714 0.7287
0.9298 24.0 4920 0.1491 0.8436
0.8313 24.15 4950 0.2105 0.7345
1.0 24.29 4980 0.1543 0.7511
0.9413 24.44 5010 0.1346 0.8504
0.9714 24.59 5040 0.2286 0.7357
0.9781 24.73 5070 0.1691 0.7408
0.9206 24.88 5100 0.1191 0.8582
0.9842 25.02 5130 0.1090 0.8746
0.9483 25.17 5160 0.1126 0.8713
0.8986 25.32 5190 0.0498 0.8127
0.9028 25.46 5220 0.2617 0.7342
1.0 25.61 5250 0.1516 0.7367
0.9594 25.76 5280 0.1723 0.7631
0.9518 25.9 5310 0.2255 0.7521
0.9613 26.05 5340 0.2086 0.7372
0.9985 26.2 5370 0.0610 0.8180
0.9332 26.34 5400 0.1802 0.7751
0.9743 26.49 5430 0.0532 0.8143
0.9815 26.63 5460 0.2184 0.7518
0.9564 26.78 5490 0.2248 0.7409
1.0 26.93 5520 0.1170 0.7504
0.9314 27.07 5550 0.2421 0.7435
0.9167 27.22 5580 0.2353 0.7439
0.9736 27.37 5610 0.1749 0.7347
0.9719 27.51 5640 0.1793 0.8076
1.0 27.66 5670 0.1879 0.7665
0.9733 27.8 5700 0.1642 0.7411
0.9041 27.95 5730 0.2878 0.7266
0.9057 28.1 5760 0.1770 0.8027
0.9485 28.24 5790 0.2226 0.7363
0.9641 28.39 5820 0.1740 0.8032
0.902 28.54 5850 0.2688 0.7523
0.9047 28.68 5880 0.2600 0.7308
0.997 28.83 5910 0.2428 0.7456
0.9589 28.98 5940 0.1723 0.7825
0.9256 29.12 5970 0.2057 0.7671
1.0 29.27 6000 0.2344 0.7409
0.9693 29.41 6030 0.1468 0.7332
0.9322 29.56 6060 0.1429 0.8253
0.9293 29.71 6090 0.2103 0.7393
0.9505 29.85 6120 0.1712 0.7898
0.9734 30.0 6150 0.2007 0.7613
0.9671 30.15 6180 0.2440 0.7532
1.0 30.29 6210 0.2503 0.7384
0.9586 30.44 6240 0.2954 0.7336
1.0 30.59 6270 0.2176 0.7586
0.9319 30.73 6300 0.1855 0.7958
0.8779 30.88 6330 0.1568 0.8000
0.8768 31.02 6360 0.2701 0.7234
1.0 31.17 6390 0.0853 0.9075
0.9749 31.32 6420 0.1562 0.7665
0.944 31.46 6450 0.1985 0.7785
0.9689 31.61 6480 0.2687 0.7234
0.9315 31.76 6510 0.2228 0.7221
0.9432 31.9 6540 0.1555 0.8126
0.9546 32.05 6570 0.1912 0.7635
0.9304 32.2 6600 0.2084 0.7409
0.9279 32.34 6630 0.2351 0.7482
0.9695 32.49 6660 0.2192 0.7500
0.9107 32.63 6690 0.2510 0.7437
1.0 32.78 6720 0.1856 0.7742
0.9125 32.93 6750 0.2278 0.7341
0.9135 33.07 6780 0.2615 0.7241
0.9368 33.22 6810 0.2067 0.7403
0.9319 33.37 6840 0.1821 0.7769
0.9346 33.51 6870 0.2333 0.7359
0.924 33.66 6900 0.2411 0.7335
0.906 33.8 6930 0.2797 0.7204
0.9535 33.95 6960 0.2573 0.7397
1.0 34.1 6990 0.2879 0.7343
0.954 34.24 7020 0.2346 0.7485
1.0 34.39 7050 0.2236 0.7693
0.9394 34.54 7080 0.1759 0.8031
0.9565 34.68 7110 0.2617 0.7312
0.8503 34.83 7140 0.2641 0.7242
0.972 34.98 7170 0.1391 0.8332
0.9649 35.12 7200 0.2151 0.7580
0.8979 35.27 7230 0.2225 0.7461
1.0 35.41 7260 0.2244 0.7377
0.991 35.56 7290 0.2535 0.7342
0.9386 35.71 7320 0.2251 0.7418
0.9713 35.85 7350 0.2228 0.7413
0.9144 36.0 7380 0.2504 0.7246
0.9671 36.15 7410 0.2861 0.7296
0.9592 36.29 7440 0.2213 0.7549
0.9221 36.44 7470 0.2016 0.7553
0.9356 36.59 7500 0.2195 0.7601
0.9307 36.73 7530 0.2693 0.7245
0.9438 36.88 7560 0.2046 0.7261
0.9795 37.02 7590 0.2259 0.7469
0.968 37.17 7620 0.2694 0.7147
1.0 37.32 7650 0.2124 0.7730
0.9625 37.46 7680 0.2393 0.7445
0.9369 37.61 7710 0.2405 0.7297
0.9485 37.76 7740 0.2747 0.7195
0.9435 37.9 7770 0.2444 0.7238
0.8679 38.05 7800 0.2206 0.7571
0.9141 38.2 7830 0.2558 0.7293
0.9181 38.34 7860 0.2639 0.7231
0.9758 38.49 7890 0.2669 0.7359
0.8926 38.63 7920 0.2901 0.7186
0.9481 38.78 7950 0.2450 0.7468
0.9166 38.93 7980 0.2456 0.7255
0.9843 39.07 8010 0.2393 0.7301
0.9967 39.22 8040 0.2511 0.7281
0.9758 39.37 8070 0.1683 0.8029
0.9653 39.51 8100 0.2242 0.7202
0.9674 39.66 8130 0.2313 0.7519
0.969 39.8 8160 0.1742 0.8009
0.9378 39.95 8190 0.2418 0.7351
0.9701 40.1 8220 0.1953 0.7794
0.9354 40.24 8250 0.2204 0.7590
0.9513 40.39 8280 0.2566 0.7284
0.9694 40.54 8310 0.2831 0.7253
0.9387 40.68 8340 0.2340 0.7466
1.0 40.83 8370 0.2740 0.7188
0.9896 40.98 8400 0.2137 0.7603
0.9121 41.12 8430 0.2520 0.7363
0.9439 41.27 8460 0.2480 0.7289
0.9783 41.41 8490 0.3102 0.7184
0.9649 41.56 8520 0.2420 0.7474
0.8501 41.71 8550 0.2764 0.7276
0.933 41.85 8580 0.2677 0.7236
0.9667 42.0 8610 0.2438 0.7404
0.9402 42.15 8640 0.2467 0.7377
0.8646 42.29 8670 0.2617 0.7296
0.9862 42.44 8700 0.1372 0.8366
0.9906 42.59 8730 0.2985 0.7230
0.9926 42.73 8760 0.2264 0.7557
0.99 42.88 8790 0.2942 0.7208
0.8906 43.02 8820 0.2748 0.7257
0.8935 43.17 8850 0.2368 0.7472
0.9676 43.32 8880 0.2767 0.7245
0.9665 43.46 8910 0.1487 0.8215
0.9117 43.61 8940 0.2589 0.7253
0.9734 43.76 8970 0.2316 0.7457
0.9331 43.9 9000 0.2410 0.7375
0.9791 44.05 9030 0.2859 0.7256
0.9654 44.2 9060 0.2524 0.7349
0.9711 44.34 9090 0.2870 0.7174
0.8592 44.49 9120 0.1605 0.8222
0.9246 44.63 9150 0.2367 0.7370
0.9544 44.78 9180 0.2447 0.7372
0.9318 44.93 9210 0.1873 0.7707
0.9579 45.07 9240 0.2717 0.7123
0.9325 45.22 9270 0.2947 0.7169
0.9246 45.37 9300 0.2441 0.7357
0.9772 45.51 9330 0.2280 0.7449
0.8828 45.66 9360 0.1924 0.7817
1.0 45.8 9390 0.1880 0.7764
0.965 45.95 9420 0.2047 0.7718
0.8838 46.1 9450 0.3006 0.7133
0.9389 46.24 9480 0.3049 0.7202
1.0 46.39 9510 0.2433 0.7447
0.8744 46.54 9540 0.2295 0.7597
0.9409 46.68 9570 0.3002 0.7158
0.9968 46.83 9600 0.3180 0.7143
0.9477 46.98 9630 0.2468 0.7354
0.9456 47.12 9660 0.2122 0.7599
0.9736 47.27 9690 0.1841 0.7891
1.0 47.41 9720 0.2437 0.7326
0.962 47.56 9750 0.2870 0.7117
0.9701 47.71 9780 0.2834 0.7185
0.9076 47.85 9810 0.2544 0.7319
0.9523 48.0 9840 0.2267 0.7449
0.9756 48.15 9870 0.2744 0.7278
0.9834 48.29 9900 0.2268 0.7490
0.9497 48.44 9930 0.2304 0.7419
0.9165 48.59 9960 0.2443 0.7343
0.9806 48.73 9990 0.2997 0.7207
0.9385 48.88 10020 0.2309 0.7585
0.9478 49.02 10050 0.2892 0.7166
0.8437 49.17 10080 0.2779 0.7271
0.9555 49.32 10110 0.2222 0.7608
0.9454 49.46 10140 0.3031 0.7174
0.9652 49.61 10170 0.2557 0.7330
0.9245 49.76 10200 0.2834 0.7204
1.0 49.9 10230 0.2456 0.7373
0.9409 50.05 10260 0.2573 0.7292
0.9049 50.2 10290 0.2108 0.7541
0.9896 50.34 10320 0.2984 0.7091
0.9276 50.49 10350 0.2964 0.7121
0.9667 50.63 10380 0.2647 0.7291
1.0 50.78 10410 0.2924 0.7133
0.953 50.93 10440 0.2362 0.7387
0.9264 51.07 10470 0.2518 0.7360
0.9296 51.22 10500 0.2864 0.7140
0.9208 51.37 10530 0.2373 0.7532
0.9694 51.51 10560 0.2979 0.7149
0.967 51.66 10590 0.2769 0.7216
0.9104 51.8 10620 0.2801 0.7152
0.9527 51.95 10650 0.2503 0.7264
0.9278 52.1 10680 0.2726 0.7268
0.8901 52.24 10710 0.2575 0.7256
0.9937 52.39 10740 0.2722 0.7199
0.9339 52.54 10770 0.2886 0.7134
0.9213 52.68 10800 0.2749 0.7174
0.906 52.83 10830 0.2202 0.7493
0.9951 52.98 10860 0.2620 0.7222
0.9361 53.12 10890 0.2363 0.7350
0.9203 53.27 10920 0.1988 0.7694
0.9692 53.41 10950 0.2775 0.7180
0.9276 53.56 10980 0.2771 0.7177
0.9969 53.71 11010 0.2272 0.7428
0.9394 53.85 11040 0.2408 0.7346
0.9047 54.0 11070 0.2492 0.7222
0.9347 54.15 11100 0.2611 0.7305
0.897 54.29 11130 0.2466 0.7344
0.962 54.44 11160 0.2592 0.7253
0.9222 54.59 11190 0.2809 0.7191
0.9178 54.73 11220 0.2713 0.7226
0.9096 54.88 11250 0.2551 0.7270
0.9233 55.02 11280 0.2410 0.7422
0.9365 55.17 11310 0.3120 0.7069
0.9768 55.32 11340 0.2473 0.7372
0.9893 55.46 11370 0.2216 0.7537
0.9699 55.61 11400 0.2307 0.7431
0.9793 55.76 11430 0.2926 0.7134
1.0 55.9 11460 0.2622 0.7226
0.9781 56.05 11490 0.2244 0.7454
0.9388 56.2 11520 0.2631 0.7280
0.9066 56.34 11550 0.2486 0.7369
0.9717 56.49 11580 0.2524 0.7297
0.9385 56.63 11610 0.2806 0.7155
0.9443 56.78 11640 0.2134 0.7768
0.951 56.93 11670 0.2856 0.7134
0.9419 57.07 11700 0.3246 0.7086
0.9639 57.22 11730 0.3028 0.7070
0.9031 57.37 11760 0.2565 0.7317
0.9709 57.51 11790 0.2863 0.7257
0.9698 57.66 11820 0.3146 0.7110
0.9678 57.8 11850 0.2709 0.7236
0.8802 57.95 11880 0.2832 0.7182
0.9881 58.1 11910 0.2397 0.7376
0.9417 58.24 11940 0.2842 0.7126
1.0 58.39 11970 0.2598 0.7271
0.9558 58.54 12000 0.2954 0.7106
0.9581 58.68 12030 0.2863 0.7150
0.975 58.83 12060 0.2503 0.7396
0.8941 58.98 12090 0.3105 0.7083
0.9497 59.12 12120 0.2750 0.7273
0.9427 59.27 12150 0.2863 0.7192
0.9784 59.41 12180 0.2806 0.7193
0.9475 59.56 12210 0.2807 0.7195
0.8317 59.71 12240 0.2774 0.7245
0.9697 59.85 12270 0.2771 0.7228
0.9692 60.0 12300 0.2914 0.7155
0.9834 60.15 12330 0.2790 0.7221
0.8969 60.29 12360 0.2851 0.7178
0.9812 60.44 12390 0.2558 0.7320
0.8812 60.59 12420 0.2558 0.7304
0.9679 60.73 12450 0.2966 0.7115
0.839 60.88 12480 0.2884 0.7135
0.9388 61.02 12510 0.3028 0.7106
0.9713 61.17 12540 0.3106 0.7115
0.907 61.32 12570 0.2940 0.7130
0.8798 61.46 12600 0.3048 0.7087
0.9661 61.61 12630 0.2852 0.7155
0.8974 61.76 12660 0.2835 0.7172
0.9523 61.9 12690 0.2897 0.7153
0.9747 62.05 12720 0.2649 0.7262
1.0 62.2 12750 0.2828 0.7170
0.9701 62.34 12780 0.2471 0.7406
0.9084 62.49 12810 0.2735 0.7241
0.9404 62.63 12840 0.2667 0.7271
0.9866 62.78 12870 0.2522 0.7383
0.911 62.93 12900 0.2566 0.7334
0.9561 63.07 12930 0.3086 0.7067
1.0 63.22 12960 0.2825 0.7172
0.9011 63.37 12990 0.2818 0.7161
0.971 63.51 13020 0.2675 0.7287
0.9452 63.66 13050 0.3012 0.7075
0.9689 63.8 13080 0.3054 0.7071
0.8509 63.95 13110 0.2755 0.7193
0.9464 64.1 13140 0.2613 0.7269
0.8899 64.24 13170 0.2685 0.7216
0.9468 64.39 13200 0.2877 0.7116
0.968 64.54 13230 0.2873 0.7159
0.9616 64.68 13260 0.2841 0.7149
0.9487 64.83 13290 0.2798 0.7165
0.9479 64.98 13320 0.2840 0.7135
0.9099 65.12 13350 0.2594 0.7313
0.8809 65.27 13380 0.2758 0.7177
0.9643 65.41 13410 0.3070 0.7063
0.9287 65.56 13440 0.2868 0.7142
0.9509 65.71 13470 0.2747 0.7185
0.9495 65.85 13500 0.2450 0.7375
0.8864 66.0 13530 0.2709 0.7233
0.9703 66.15 13560 0.2661 0.7300
0.9289 66.29 13590 0.2732 0.7249
0.9736 66.44 13620 0.2927 0.7135
0.9569 66.59 13650 0.2860 0.7182
0.9636 66.73 13680 0.2636 0.7287
0.9668 66.88 13710 0.2694 0.7231
0.8278 67.02 13740 0.2912 0.7118
0.9101 67.17 13770 0.3011 0.7095
0.9701 67.32 13800 0.2967 0.7109
0.9373 67.46 13830 0.2961 0.7108
0.9626 67.61 13860 0.2806 0.7148
0.9618 67.76 13890 0.2870 0.7129
0.9522 67.9 13920 0.2679 0.7235
0.9013 68.05 13950 0.2906 0.7134
0.9284 68.2 13980 0.2956 0.7137
1.0 68.34 14010 0.2874 0.7199
0.9377 68.49 14040 0.2857 0.7191
0.9778 68.63 14070 0.2841 0.7191
0.9189 68.78 14100 0.2869 0.7189
0.9416 68.93 14130 0.2784 0.7224
0.8688 69.07 14160 0.2864 0.7187
0.9559 69.22 14190 0.2796 0.7229
0.9967 69.37 14220 0.2831 0.7202
0.9331 69.51 14250 0.2996 0.7146
0.8874 69.66 14280 0.2989 0.7145
0.9949 69.8 14310 0.3045 0.7119
0.9415 69.95 14340 0.3014 0.7126
0.9696 70.1 14370 0.2985 0.7150
0.9685 70.24 14400 0.2933 0.7168
0.919 70.39 14430 0.2898 0.7175
0.9707 70.54 14460 0.2823 0.7201
0.9462 70.68 14490 0.2843 0.7195
0.85 70.83 14520 0.2899 0.7176
0.9442 70.98 14550 0.2917 0.7160
0.8982 71.12 14580 0.2885 0.7180
0.9435 71.27 14610 0.2866 0.7199
0.9786 71.41 14640 0.2839 0.7208
0.8984 71.56 14670 0.2809 0.7225
0.9419 71.71 14700 0.2902 0.7179
0.9325 71.85 14730 0.2931 0.7157
1.0 72.0 14760 0.3010 0.7121
1.0 72.15 14790 0.3040 0.7111
0.942 72.29 14820 0.3027 0.7122
0.955 72.44 14850 0.2971 0.7135
0.9204 72.59 14880 0.2830 0.7211
0.9359 72.73 14910 0.2871 0.7189
0.9656 72.88 14940 0.2920 0.7164
0.894 73.02 14970 0.2935 0.7158
0.9308 73.17 15000 0.2901 0.7179
0.9698 73.32 15030 0.2937 0.7154
0.9481 73.46 15060 0.2961 0.7142
0.8752 73.61 15090 0.2926 0.7154
0.9822 73.76 15120 0.2941 0.7142
0.8797 73.9 15150 0.2936 0.7153
1.0 74.05 15180 0.2867 0.7178
0.9081 74.2 15210 0.2901 0.7171
0.894 74.34 15240 0.2810 0.7220
0.9254 74.49 15270 0.2791 0.7218
0.9925 74.63 15300 0.2806 0.7212
0.9774 74.78 15330 0.2751 0.7237
0.9542 74.93 15360 0.2804 0.7206
0.9294 75.07 15390 0.2848 0.7184
0.9539 75.22 15420 0.2828 0.7203
0.9277 75.37 15450 0.2838 0.7201
1.0 75.51 15480 0.2790 0.7223
0.9104 75.66 15510 0.2835 0.7206
0.9232 75.8 15540 0.2823 0.7213
0.9011 75.95 15570 0.2880 0.7175
0.9345 76.1 15600 0.2819 0.7213
0.9263 76.24 15630 0.2850 0.7186
0.917 76.39 15660 0.2829 0.7206
0.9744 76.54 15690 0.2906 0.7161
0.9647 76.68 15720 0.2846 0.7202
0.9842 76.83 15750 0.2864 0.7192
0.9 76.98 15780 0.2855 0.7189
0.9378 77.12 15810 0.2848 0.7191
0.9141 77.27 15840 0.2875 0.7181
0.8811 77.41 15870 0.2855 0.7194
0.9341 77.56 15900 0.2885 0.7175
0.87 77.71 15930 0.2898 0.7161
0.9022 77.85 15960 0.2843 0.7198
0.9914 78.0 15990 0.2853 0.7197
0.9486 78.15 16020 0.2858 0.7185
0.9524 78.29 16050 0.2912 0.7158
0.9248 78.44 16080 0.2873 0.7183
0.9667 78.59 16110 0.2861 0.7193
0.9646 78.73 16140 0.2884 0.7176
0.9311 78.88 16170 0.2893 0.7171
0.9647 79.02 16200 0.2826 0.7207
1.0 79.17 16230 0.2860 0.7189
1.0 79.32 16260 0.2878 0.7186
0.9798 79.46 16290 0.2874 0.7180
0.9361 79.61 16320 0.2874 0.7184
0.8783 79.76 16350 0.2906 0.7160
0.9166 79.9 16380 0.2882 0.7179

Framework versions

  • Transformers 4.37.1
  • Pytorch 2.1.2
  • Datasets 2.16.1
  • Tokenizers 0.15.1
Downloads last month
9
Safetensors
Model size
13.7M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.