segformer-b0-finetuned-ade20k-manggarai_rivergate_6

This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2061
  • Mean Iou: 0.4017
  • Mean Accuracy: 0.8034
  • Overall Accuracy: 0.8034
  • Accuracy Not water: nan
  • Accuracy Waters: 0.8034
  • Iou Not water: 0.0
  • Iou Waters: 0.8034

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Accuracy Not water Accuracy Waters Iou Not water Iou Waters
0.5002 0.0261 20 0.5127 0.4808 0.9616 0.9616 nan 0.9616 0.0 0.9616
0.4515 0.0522 40 0.4543 0.4676 0.9352 0.9352 nan 0.9352 0.0 0.9352
0.391 0.0783 60 0.4198 0.4592 0.9183 0.9183 nan 0.9183 0.0 0.9183
0.4463 0.1044 80 0.4034 0.4601 0.9202 0.9202 nan 0.9202 0.0 0.9202
0.4123 0.1305 100 0.3839 0.4573 0.9146 0.9146 nan 0.9146 0.0 0.9146
0.3568 0.1567 120 0.3729 0.4521 0.9042 0.9042 nan 0.9042 0.0 0.9042
0.4537 0.1828 140 0.3582 0.4447 0.8894 0.8894 nan 0.8894 0.0 0.8894
0.3701 0.2089 160 0.3571 0.4628 0.9257 0.9257 nan 0.9257 0.0 0.9257
0.3301 0.2350 180 0.3434 0.4633 0.9266 0.9266 nan 0.9266 0.0 0.9266
0.4094 0.2611 200 0.3318 0.4612 0.9224 0.9224 nan 0.9224 0.0 0.9224
0.3236 0.2872 220 0.3272 0.4629 0.9258 0.9258 nan 0.9258 0.0 0.9258
0.3068 0.3133 240 0.3226 0.4582 0.9164 0.9164 nan 0.9164 0.0 0.9164
0.3161 0.3394 260 0.3194 0.4634 0.9269 0.9269 nan 0.9269 0.0 0.9269
0.3002 0.3655 280 0.3055 0.4461 0.8922 0.8922 nan 0.8922 0.0 0.8922
0.349 0.3916 300 0.3035 0.4448 0.8897 0.8897 nan 0.8897 0.0 0.8897
0.2223 0.4178 320 0.3018 0.4485 0.8969 0.8969 nan 0.8969 0.0 0.8969
0.2869 0.4439 340 0.2931 0.4383 0.8765 0.8765 nan 0.8765 0.0 0.8765
0.243 0.4700 360 0.3021 0.4585 0.9169 0.9169 nan 0.9169 0.0 0.9169
0.2564 0.4961 380 0.2911 0.4438 0.8877 0.8877 nan 0.8877 0.0 0.8877
0.3116 0.5222 400 0.2910 0.4499 0.8998 0.8998 nan 0.8998 0.0 0.8998
0.239 0.5483 420 0.2898 0.4492 0.8985 0.8985 nan 0.8985 0.0 0.8985
0.2597 0.5744 440 0.2801 0.4352 0.8704 0.8704 nan 0.8704 0.0 0.8704
0.3101 0.6005 460 0.2841 0.4472 0.8944 0.8944 nan 0.8944 0.0 0.8944
0.241 0.6266 480 0.2745 0.4336 0.8672 0.8672 nan 0.8672 0.0 0.8672
0.2682 0.6527 500 0.2768 0.4502 0.9003 0.9003 nan 0.9003 0.0 0.9003
0.2705 0.6789 520 0.2731 0.4395 0.8791 0.8791 nan 0.8791 0.0 0.8791
0.2621 0.7050 540 0.2692 0.4309 0.8618 0.8618 nan 0.8618 0.0 0.8618
0.318 0.7311 560 0.2676 0.4352 0.8703 0.8703 nan 0.8703 0.0 0.8703
0.2947 0.7572 580 0.2688 0.4392 0.8783 0.8783 nan 0.8783 0.0 0.8783
0.3149 0.7833 600 0.2633 0.4323 0.8645 0.8645 nan 0.8645 0.0 0.8645
0.2374 0.8094 620 0.2644 0.4350 0.8700 0.8700 nan 0.8700 0.0 0.8700
0.2808 0.8355 640 0.2644 0.4453 0.8906 0.8906 nan 0.8906 0.0 0.8906
0.2812 0.8616 660 0.2605 0.4412 0.8824 0.8824 nan 0.8824 0.0 0.8824
0.2641 0.8877 680 0.2597 0.4372 0.8745 0.8745 nan 0.8745 0.0 0.8745
0.2774 0.9138 700 0.2594 0.4468 0.8935 0.8935 nan 0.8935 0.0 0.8935
0.2416 0.9399 720 0.2553 0.4168 0.8337 0.8337 nan 0.8337 0.0 0.8337
0.2555 0.9661 740 0.2564 0.4222 0.8445 0.8445 nan 0.8445 0.0 0.8445
0.2396 0.9922 760 0.2569 0.4364 0.8728 0.8728 nan 0.8728 0.0 0.8728
0.2074 1.0183 780 0.2497 0.4126 0.8252 0.8252 nan 0.8252 0.0 0.8252
0.2137 1.0444 800 0.2512 0.4227 0.8453 0.8453 nan 0.8453 0.0 0.8453
0.3078 1.0705 820 0.2543 0.4281 0.8562 0.8562 nan 0.8562 0.0 0.8562
0.197 1.0966 840 0.2474 0.4127 0.8254 0.8254 nan 0.8254 0.0 0.8254
0.2766 1.1227 860 0.2485 0.4193 0.8385 0.8385 nan 0.8385 0.0 0.8385
0.2644 1.1488 880 0.2473 0.3980 0.7960 0.7960 nan 0.7960 0.0 0.7960
0.2229 1.1749 900 0.2485 0.4207 0.8414 0.8414 nan 0.8414 0.0 0.8414
0.2877 1.2010 920 0.2477 0.4286 0.8571 0.8571 nan 0.8571 0.0 0.8571
0.2573 1.2272 940 0.2470 0.4240 0.8480 0.8480 nan 0.8480 0.0 0.8480
0.2367 1.2533 960 0.2454 0.3841 0.7681 0.7681 nan 0.7681 0.0 0.7681
0.2374 1.2794 980 0.2483 0.4263 0.8526 0.8526 nan 0.8526 0.0 0.8526
0.2575 1.3055 1000 0.2452 0.4204 0.8407 0.8407 nan 0.8407 0.0 0.8407
0.2057 1.3316 1020 0.2443 0.4131 0.8261 0.8261 nan 0.8261 0.0 0.8261
0.2277 1.3577 1040 0.2418 0.3991 0.7981 0.7981 nan 0.7981 0.0 0.7981
0.1965 1.3838 1060 0.2423 0.4105 0.8210 0.8210 nan 0.8210 0.0 0.8210
0.1846 1.4099 1080 0.2431 0.4239 0.8478 0.8478 nan 0.8478 0.0 0.8478
0.186 1.4360 1100 0.2419 0.4260 0.8521 0.8521 nan 0.8521 0.0 0.8521
0.2665 1.4621 1120 0.2402 0.4093 0.8186 0.8186 nan 0.8186 0.0 0.8186
0.2333 1.4883 1140 0.2420 0.4020 0.8039 0.8039 nan 0.8039 0.0 0.8039
0.2191 1.5144 1160 0.2444 0.4308 0.8616 0.8616 nan 0.8616 0.0 0.8616
0.2667 1.5405 1180 0.2392 0.4265 0.8530 0.8530 nan 0.8530 0.0 0.8530
0.2462 1.5666 1200 0.2386 0.4010 0.8020 0.8020 nan 0.8020 0.0 0.8020
0.2476 1.5927 1220 0.2400 0.4076 0.8152 0.8152 nan 0.8152 0.0 0.8152
0.2049 1.6188 1240 0.2399 0.4234 0.8468 0.8468 nan 0.8468 0.0 0.8468
0.2178 1.6449 1260 0.2372 0.4205 0.8409 0.8409 nan 0.8409 0.0 0.8409
0.2437 1.6710 1280 0.2362 0.4183 0.8367 0.8367 nan 0.8367 0.0 0.8367
0.2237 1.6971 1300 0.2356 0.4046 0.8092 0.8092 nan 0.8092 0.0 0.8092
0.2126 1.7232 1320 0.2349 0.4116 0.8231 0.8231 nan 0.8231 0.0 0.8231
0.2467 1.7493 1340 0.2351 0.4125 0.8250 0.8250 nan 0.8250 0.0 0.8250
0.2603 1.7755 1360 0.2400 0.4362 0.8723 0.8723 nan 0.8723 0.0 0.8723
0.3095 1.8016 1380 0.2375 0.4356 0.8712 0.8712 nan 0.8712 0.0 0.8712
0.2254 1.8277 1400 0.2338 0.4012 0.8024 0.8024 nan 0.8024 0.0 0.8024
0.295 1.8538 1420 0.2339 0.4194 0.8389 0.8389 nan 0.8389 0.0 0.8389
0.2348 1.8799 1440 0.2333 0.4165 0.8329 0.8329 nan 0.8329 0.0 0.8329
0.2151 1.9060 1460 0.2343 0.3945 0.7890 0.7890 nan 0.7890 0.0 0.7890
0.2184 1.9321 1480 0.2366 0.4056 0.8113 0.8113 nan 0.8113 0.0 0.8113
0.1736 1.9582 1500 0.2383 0.4326 0.8652 0.8652 nan 0.8652 0.0 0.8652
0.2053 1.9843 1520 0.2319 0.4032 0.8064 0.8064 nan 0.8064 0.0 0.8064
0.2581 2.0104 1540 0.2325 0.4123 0.8246 0.8246 nan 0.8246 0.0 0.8246
0.2757 2.0366 1560 0.2327 0.4207 0.8415 0.8415 nan 0.8415 0.0 0.8415
0.2425 2.0627 1580 0.2326 0.4208 0.8417 0.8417 nan 0.8417 0.0 0.8417
0.2566 2.0888 1600 0.2311 0.4056 0.8112 0.8112 nan 0.8112 0.0 0.8112
0.297 2.1149 1620 0.2325 0.4232 0.8463 0.8463 nan 0.8463 0.0 0.8463
0.2493 2.1410 1640 0.2320 0.4265 0.8530 0.8530 nan 0.8530 0.0 0.8530
0.2228 2.1671 1660 0.2317 0.4248 0.8496 0.8496 nan 0.8496 0.0 0.8496
0.2147 2.1932 1680 0.2298 0.3955 0.7911 0.7911 nan 0.7911 0.0 0.7911
0.2144 2.2193 1700 0.2323 0.3768 0.7535 0.7535 nan 0.7535 0.0 0.7535
0.2209 2.2454 1720 0.2335 0.4315 0.8630 0.8630 nan 0.8630 0.0 0.8630
0.2448 2.2715 1740 0.2285 0.4080 0.8160 0.8160 nan 0.8160 0.0 0.8160
0.195 2.2977 1760 0.2298 0.4205 0.8409 0.8409 nan 0.8409 0.0 0.8409
0.212 2.3238 1780 0.2290 0.4208 0.8416 0.8416 nan 0.8416 0.0 0.8416
0.2655 2.3499 1800 0.2307 0.4244 0.8489 0.8489 nan 0.8489 0.0 0.8489
0.2601 2.3760 1820 0.2279 0.4019 0.8037 0.8037 nan 0.8037 0.0 0.8037
0.2392 2.4021 1840 0.2286 0.4076 0.8151 0.8151 nan 0.8151 0.0 0.8151
0.2239 2.4282 1860 0.2309 0.4294 0.8588 0.8588 nan 0.8588 0.0 0.8588
0.2544 2.4543 1880 0.2270 0.4109 0.8219 0.8219 nan 0.8219 0.0 0.8219
0.236 2.4804 1900 0.2278 0.4135 0.8271 0.8271 nan 0.8271 0.0 0.8271
0.2279 2.5065 1920 0.2281 0.4283 0.8566 0.8566 nan 0.8566 0.0 0.8566
0.2363 2.5326 1940 0.2255 0.4085 0.8169 0.8169 nan 0.8169 0.0 0.8169
0.2871 2.5587 1960 0.2298 0.4288 0.8577 0.8577 nan 0.8577 0.0 0.8577
0.2293 2.5849 1980 0.2274 0.3985 0.7970 0.7970 nan 0.7970 0.0 0.7970
0.2697 2.6110 2000 0.2319 0.4208 0.8415 0.8415 nan 0.8415 0.0 0.8415
0.2694 2.6371 2020 0.2264 0.3949 0.7897 0.7897 nan 0.7897 0.0 0.7897
0.2075 2.6632 2040 0.2262 0.4118 0.8236 0.8236 nan 0.8236 0.0 0.8236
0.2462 2.6893 2060 0.2269 0.4105 0.8211 0.8211 nan 0.8211 0.0 0.8211
0.221 2.7154 2080 0.2241 0.4088 0.8175 0.8175 nan 0.8175 0.0 0.8175
0.2522 2.7415 2100 0.2246 0.4190 0.8381 0.8381 nan 0.8381 0.0 0.8381
0.182 2.7676 2120 0.2242 0.3968 0.7936 0.7936 nan 0.7936 0.0 0.7936
0.2191 2.7937 2140 0.2230 0.3991 0.7981 0.7981 nan 0.7981 0.0 0.7981
0.2152 2.8198 2160 0.2229 0.4126 0.8251 0.8251 nan 0.8251 0.0 0.8251
0.2361 2.8460 2180 0.2251 0.3952 0.7904 0.7904 nan 0.7904 0.0 0.7904
0.1901 2.8721 2200 0.2234 0.4194 0.8388 0.8388 nan 0.8388 0.0 0.8388
0.1791 2.8982 2220 0.2212 0.4087 0.8174 0.8174 nan 0.8174 0.0 0.8174
0.1976 2.9243 2240 0.2253 0.4218 0.8435 0.8435 nan 0.8435 0.0 0.8435
0.2018 2.9504 2260 0.2226 0.4177 0.8353 0.8353 nan 0.8353 0.0 0.8353
0.2898 2.9765 2280 0.2223 0.4228 0.8455 0.8455 nan 0.8455 0.0 0.8455
0.2158 3.0026 2300 0.2247 0.4294 0.8589 0.8589 nan 0.8589 0.0 0.8589
0.278 3.0287 2320 0.2214 0.4173 0.8345 0.8345 nan 0.8345 0.0 0.8345
0.2613 3.0548 2340 0.2252 0.4002 0.8005 0.8005 nan 0.8005 0.0 0.8005
0.2077 3.0809 2360 0.2257 0.4128 0.8255 0.8255 nan 0.8255 0.0 0.8255
0.245 3.1070 2380 0.2212 0.4045 0.8089 0.8089 nan 0.8089 0.0 0.8089
0.2237 3.1332 2400 0.2219 0.4237 0.8474 0.8474 nan 0.8474 0.0 0.8474
0.2208 3.1593 2420 0.2192 0.4107 0.8215 0.8215 nan 0.8215 0.0 0.8215
0.189 3.1854 2440 0.2201 0.4143 0.8286 0.8286 nan 0.8286 0.0 0.8286
0.2286 3.2115 2460 0.2191 0.4034 0.8069 0.8069 nan 0.8069 0.0 0.8069
0.2361 3.2376 2480 0.2188 0.4070 0.8141 0.8141 nan 0.8141 0.0 0.8141
0.2066 3.2637 2500 0.2202 0.3993 0.7985 0.7985 nan 0.7985 0.0 0.7985
0.1986 3.2898 2520 0.2185 0.4073 0.8147 0.8147 nan 0.8147 0.0 0.8147
0.1705 3.3159 2540 0.2190 0.4240 0.8479 0.8479 nan 0.8479 0.0 0.8479
0.2945 3.3420 2560 0.2220 0.4315 0.8629 0.8629 nan 0.8629 0.0 0.8629
0.172 3.3681 2580 0.2196 0.3796 0.7593 0.7593 nan 0.7593 0.0 0.7593
0.2059 3.3943 2600 0.2183 0.3928 0.7857 0.7857 nan 0.7857 0.0 0.7857
0.1661 3.4204 2620 0.2168 0.4100 0.8200 0.8200 nan 0.8200 0.0 0.8200
0.2762 3.4465 2640 0.2181 0.4094 0.8188 0.8188 nan 0.8188 0.0 0.8188
0.2352 3.4726 2660 0.2192 0.4245 0.8490 0.8490 nan 0.8490 0.0 0.8490
0.2164 3.4987 2680 0.2180 0.4168 0.8336 0.8336 nan 0.8336 0.0 0.8336
0.2452 3.5248 2700 0.2175 0.4213 0.8426 0.8426 nan 0.8426 0.0 0.8426
0.2697 3.5509 2720 0.2163 0.3971 0.7941 0.7941 nan 0.7941 0.0 0.7941
0.2477 3.5770 2740 0.2179 0.4194 0.8389 0.8389 nan 0.8389 0.0 0.8389
0.1744 3.6031 2760 0.2157 0.4007 0.8014 0.8014 nan 0.8014 0.0 0.8014
0.2029 3.6292 2780 0.2165 0.4120 0.8241 0.8241 nan 0.8241 0.0 0.8241
0.1729 3.6554 2800 0.2156 0.3894 0.7789 0.7789 nan 0.7789 0.0 0.7789
0.202 3.6815 2820 0.2187 0.4084 0.8168 0.8168 nan 0.8168 0.0 0.8168
0.1938 3.7076 2840 0.2167 0.3890 0.7780 0.7780 nan 0.7780 0.0 0.7780
0.2504 3.7337 2860 0.2158 0.4104 0.8207 0.8207 nan 0.8207 0.0 0.8207
0.1984 3.7598 2880 0.2149 0.3895 0.7790 0.7790 nan 0.7790 0.0 0.7790
0.1812 3.7859 2900 0.2186 0.4205 0.8410 0.8410 nan 0.8410 0.0 0.8410
0.2084 3.8120 2920 0.2226 0.4373 0.8746 0.8746 nan 0.8746 0.0 0.8746
0.1827 3.8381 2940 0.2148 0.4148 0.8296 0.8296 nan 0.8296 0.0 0.8296
0.2039 3.8642 2960 0.2157 0.3810 0.7620 0.7620 nan 0.7620 0.0 0.7620
0.1905 3.8903 2980 0.2195 0.4356 0.8713 0.8713 nan 0.8713 0.0 0.8713
0.2092 3.9164 3000 0.2163 0.4292 0.8583 0.8583 nan 0.8583 0.0 0.8583
0.1921 3.9426 3020 0.2141 0.4035 0.8069 0.8069 nan 0.8069 0.0 0.8069
0.2068 3.9687 3040 0.2138 0.4134 0.8268 0.8268 nan 0.8268 0.0 0.8268
0.2099 3.9948 3060 0.2131 0.4058 0.8116 0.8116 nan 0.8116 0.0 0.8116
0.1818 4.0209 3080 0.2206 0.4366 0.8732 0.8732 nan 0.8732 0.0 0.8732
0.207 4.0470 3100 0.2139 0.4051 0.8102 0.8102 nan 0.8102 0.0 0.8102
0.295 4.0731 3120 0.2143 0.3922 0.7845 0.7845 nan 0.7845 0.0 0.7845
0.2029 4.0992 3140 0.2144 0.4107 0.8213 0.8213 nan 0.8213 0.0 0.8213
0.2296 4.1253 3160 0.2123 0.4112 0.8224 0.8224 nan 0.8224 0.0 0.8224
0.1848 4.1514 3180 0.2125 0.4059 0.8117 0.8117 nan 0.8117 0.0 0.8117
0.179 4.1775 3200 0.2206 0.4337 0.8673 0.8673 nan 0.8673 0.0 0.8673
0.1674 4.2037 3220 0.2131 0.4131 0.8262 0.8262 nan 0.8262 0.0 0.8262
0.2413 4.2298 3240 0.2136 0.4192 0.8384 0.8384 nan 0.8384 0.0 0.8384
0.1984 4.2559 3260 0.2172 0.4274 0.8548 0.8548 nan 0.8548 0.0 0.8548
0.2284 4.2820 3280 0.2129 0.4136 0.8271 0.8271 nan 0.8271 0.0 0.8271
0.1915 4.3081 3300 0.2143 0.4139 0.8278 0.8278 nan 0.8278 0.0 0.8278
0.2493 4.3342 3320 0.2134 0.3773 0.7545 0.7545 nan 0.7545 0.0 0.7545
0.2708 4.3603 3340 0.2123 0.3987 0.7975 0.7975 nan 0.7975 0.0 0.7975
0.187 4.3864 3360 0.2123 0.3915 0.7829 0.7829 nan 0.7829 0.0 0.7829
0.1881 4.4125 3380 0.2129 0.4107 0.8213 0.8213 nan 0.8213 0.0 0.8213
0.2155 4.4386 3400 0.2139 0.4118 0.8237 0.8237 nan 0.8237 0.0 0.8237
0.2395 4.4648 3420 0.2127 0.4163 0.8325 0.8325 nan 0.8325 0.0 0.8325
0.2241 4.4909 3440 0.2111 0.3955 0.7910 0.7910 nan 0.7910 0.0 0.7910
0.2347 4.5170 3460 0.2121 0.3996 0.7992 0.7992 nan 0.7992 0.0 0.7992
0.2535 4.5431 3480 0.2120 0.4172 0.8344 0.8344 nan 0.8344 0.0 0.8344
0.3057 4.5692 3500 0.2121 0.3788 0.7576 0.7576 nan 0.7576 0.0 0.7576
0.1952 4.5953 3520 0.2116 0.4113 0.8225 0.8225 nan 0.8225 0.0 0.8225
0.1845 4.6214 3540 0.2120 0.4118 0.8237 0.8237 nan 0.8237 0.0 0.8237
0.1799 4.6475 3560 0.2123 0.3769 0.7539 0.7539 nan 0.7539 0.0 0.7539
0.1974 4.6736 3580 0.2111 0.3903 0.7805 0.7805 nan 0.7805 0.0 0.7805
0.2564 4.6997 3600 0.2190 0.4343 0.8687 0.8687 nan 0.8687 0.0 0.8687
0.2181 4.7258 3620 0.2118 0.4181 0.8363 0.8363 nan 0.8363 0.0 0.8363
0.1904 4.7520 3640 0.2111 0.3927 0.7855 0.7855 nan 0.7855 0.0 0.7855
0.2226 4.7781 3660 0.2112 0.4060 0.8120 0.8120 nan 0.8120 0.0 0.8120
0.203 4.8042 3680 0.2131 0.4257 0.8514 0.8514 nan 0.8514 0.0 0.8514
0.2298 4.8303 3700 0.2155 0.3553 0.7106 0.7106 nan 0.7106 0.0 0.7106
0.1866 4.8564 3720 0.2116 0.4063 0.8126 0.8126 nan 0.8126 0.0 0.8126
0.2293 4.8825 3740 0.2125 0.3766 0.7532 0.7532 nan 0.7532 0.0 0.7532
0.2658 4.9086 3760 0.2121 0.4110 0.8220 0.8220 nan 0.8220 0.0 0.8220
0.2979 4.9347 3780 0.2192 0.4345 0.8689 0.8689 nan 0.8689 0.0 0.8689
0.1674 4.9608 3800 0.2109 0.3995 0.7991 0.7991 nan 0.7991 0.0 0.7991
0.241 4.9869 3820 0.2114 0.4200 0.8399 0.8399 nan 0.8399 0.0 0.8399
0.1844 5.0131 3840 0.2107 0.3773 0.7546 0.7546 nan 0.7546 0.0 0.7546
0.1964 5.0392 3860 0.2111 0.4172 0.8343 0.8343 nan 0.8343 0.0 0.8343
0.169 5.0653 3880 0.2106 0.4171 0.8342 0.8342 nan 0.8342 0.0 0.8342
0.1836 5.0914 3900 0.2103 0.4155 0.8309 0.8309 nan 0.8309 0.0 0.8309
0.2314 5.1175 3920 0.2113 0.3978 0.7955 0.7955 nan 0.7955 0.0 0.7955
0.1831 5.1436 3940 0.2149 0.3614 0.7228 0.7228 nan 0.7228 0.0 0.7228
0.2514 5.1697 3960 0.2141 0.4244 0.8488 0.8488 nan 0.8488 0.0 0.8488
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0.2316 9.9217 7600 0.2062 0.4032 0.8063 0.8063 nan 0.8063 0.0 0.8063
0.2338 9.9478 7620 0.2059 0.4012 0.8023 0.8023 nan 0.8023 0.0 0.8023
0.2277 9.9739 7640 0.2062 0.4012 0.8025 0.8025 nan 0.8025 0.0 0.8025
0.1361 10.0 7660 0.2061 0.4017 0.8034 0.8034 nan 0.8034 0.0 0.8034

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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