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vit-tiny_tobacco3482_kd_MSE
This model is a fine-tuned version of WinKawaks/vit-tiny-patch16-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2482
- Accuracy: 0.82
- Brier Loss: 0.3226
- Nll: 0.8343
- F1 Micro: 0.82
- F1 Macro: 0.8090
- Ece: 0.2625
- Aurc: 0.0606
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Brier Loss | Nll | F1 Micro | F1 Macro | Ece | Aurc |
---|---|---|---|---|---|---|---|---|---|---|
No log | 1.0 | 7 | 2.6314 | 0.165 | 1.0293 | 8.4704 | 0.165 | 0.0552 | 0.3856 | 0.8464 |
No log | 2.0 | 14 | 1.4800 | 0.12 | 0.9052 | 7.3409 | 0.12 | 0.0997 | 0.2469 | 0.8374 |
No log | 3.0 | 21 | 1.0627 | 0.34 | 0.8400 | 5.5369 | 0.34 | 0.2006 | 0.3075 | 0.5758 |
No log | 4.0 | 28 | 0.8429 | 0.42 | 0.7462 | 3.2442 | 0.4200 | 0.3362 | 0.3072 | 0.3692 |
No log | 5.0 | 35 | 0.7060 | 0.535 | 0.6558 | 2.7042 | 0.535 | 0.4295 | 0.2993 | 0.2677 |
No log | 6.0 | 42 | 0.5950 | 0.635 | 0.6056 | 2.0779 | 0.635 | 0.5021 | 0.3375 | 0.1948 |
No log | 7.0 | 49 | 0.4865 | 0.67 | 0.5486 | 1.4919 | 0.67 | 0.5384 | 0.3633 | 0.1737 |
No log | 8.0 | 56 | 0.4572 | 0.69 | 0.4897 | 1.4359 | 0.69 | 0.6106 | 0.2889 | 0.1355 |
No log | 9.0 | 63 | 0.3932 | 0.72 | 0.4496 | 1.0748 | 0.72 | 0.6261 | 0.2914 | 0.1092 |
No log | 10.0 | 70 | 0.3584 | 0.76 | 0.4091 | 1.1341 | 0.76 | 0.6747 | 0.2946 | 0.0937 |
No log | 11.0 | 77 | 0.3516 | 0.785 | 0.3906 | 1.0586 | 0.785 | 0.7422 | 0.3026 | 0.0762 |
No log | 12.0 | 84 | 0.3905 | 0.74 | 0.4155 | 1.1502 | 0.74 | 0.6677 | 0.2827 | 0.1211 |
No log | 13.0 | 91 | 0.3346 | 0.775 | 0.3640 | 1.0888 | 0.775 | 0.7397 | 0.2743 | 0.0771 |
No log | 14.0 | 98 | 0.3700 | 0.81 | 0.3728 | 0.9575 | 0.81 | 0.7941 | 0.3125 | 0.0709 |
No log | 15.0 | 105 | 0.3346 | 0.8 | 0.3631 | 0.9636 | 0.8000 | 0.7731 | 0.3113 | 0.0662 |
No log | 16.0 | 112 | 0.3084 | 0.785 | 0.3606 | 1.0243 | 0.785 | 0.7610 | 0.2883 | 0.0911 |
No log | 17.0 | 119 | 0.3266 | 0.785 | 0.3375 | 1.0301 | 0.785 | 0.7603 | 0.2659 | 0.0687 |
No log | 18.0 | 126 | 0.2987 | 0.805 | 0.3371 | 0.7961 | 0.805 | 0.7895 | 0.2764 | 0.0639 |
No log | 19.0 | 133 | 0.3468 | 0.815 | 0.3428 | 0.9841 | 0.815 | 0.7884 | 0.2824 | 0.0641 |
No log | 20.0 | 140 | 0.3111 | 0.81 | 0.3409 | 0.8873 | 0.81 | 0.8010 | 0.2978 | 0.0579 |
No log | 21.0 | 147 | 0.3042 | 0.8 | 0.3392 | 0.8057 | 0.8000 | 0.7802 | 0.2611 | 0.0556 |
No log | 22.0 | 154 | 0.2936 | 0.84 | 0.3359 | 0.8659 | 0.8400 | 0.8210 | 0.2920 | 0.0636 |
No log | 23.0 | 161 | 0.3284 | 0.815 | 0.3457 | 0.9494 | 0.815 | 0.8007 | 0.2793 | 0.0615 |
No log | 24.0 | 168 | 0.3184 | 0.805 | 0.3474 | 0.9087 | 0.805 | 0.7851 | 0.2793 | 0.0605 |
No log | 25.0 | 175 | 0.3081 | 0.805 | 0.3357 | 1.0425 | 0.805 | 0.7757 | 0.2781 | 0.0646 |
No log | 26.0 | 182 | 0.2743 | 0.815 | 0.3425 | 0.7898 | 0.815 | 0.8028 | 0.2814 | 0.0689 |
No log | 27.0 | 189 | 0.2873 | 0.81 | 0.3254 | 0.8795 | 0.81 | 0.7904 | 0.2755 | 0.0637 |
No log | 28.0 | 196 | 0.2650 | 0.82 | 0.3236 | 0.7462 | 0.82 | 0.7986 | 0.2714 | 0.0616 |
No log | 29.0 | 203 | 0.2756 | 0.815 | 0.3310 | 0.8227 | 0.815 | 0.7973 | 0.2766 | 0.0664 |
No log | 30.0 | 210 | 0.2711 | 0.83 | 0.3337 | 0.8340 | 0.83 | 0.8186 | 0.2992 | 0.0688 |
No log | 31.0 | 217 | 0.2779 | 0.825 | 0.3234 | 0.8173 | 0.825 | 0.8100 | 0.2579 | 0.0589 |
No log | 32.0 | 224 | 0.2679 | 0.82 | 0.3216 | 0.7441 | 0.82 | 0.8024 | 0.2940 | 0.0605 |
No log | 33.0 | 231 | 0.2633 | 0.805 | 0.3277 | 0.8046 | 0.805 | 0.7871 | 0.2710 | 0.0644 |
No log | 34.0 | 238 | 0.2705 | 0.805 | 0.3333 | 0.8661 | 0.805 | 0.7890 | 0.2626 | 0.0632 |
No log | 35.0 | 245 | 0.2624 | 0.815 | 0.3295 | 0.8568 | 0.815 | 0.7900 | 0.2865 | 0.0651 |
No log | 36.0 | 252 | 0.2654 | 0.805 | 0.3262 | 0.8075 | 0.805 | 0.7793 | 0.2726 | 0.0662 |
No log | 37.0 | 259 | 0.2697 | 0.805 | 0.3293 | 0.8143 | 0.805 | 0.7857 | 0.2587 | 0.0623 |
No log | 38.0 | 266 | 0.2548 | 0.805 | 0.3267 | 0.8028 | 0.805 | 0.7847 | 0.2606 | 0.0660 |
No log | 39.0 | 273 | 0.2740 | 0.83 | 0.3218 | 0.8270 | 0.83 | 0.8172 | 0.2697 | 0.0566 |
No log | 40.0 | 280 | 0.2572 | 0.81 | 0.3302 | 0.8573 | 0.81 | 0.7892 | 0.2722 | 0.0663 |
No log | 41.0 | 287 | 0.2528 | 0.81 | 0.3300 | 0.8454 | 0.81 | 0.7980 | 0.2555 | 0.0673 |
No log | 42.0 | 294 | 0.2590 | 0.815 | 0.3271 | 0.8393 | 0.815 | 0.8002 | 0.2554 | 0.0604 |
No log | 43.0 | 301 | 0.2654 | 0.825 | 0.3273 | 0.8100 | 0.825 | 0.8155 | 0.2687 | 0.0595 |
No log | 44.0 | 308 | 0.2506 | 0.805 | 0.3290 | 0.8551 | 0.805 | 0.7858 | 0.2425 | 0.0716 |
No log | 45.0 | 315 | 0.2615 | 0.82 | 0.3255 | 0.8624 | 0.82 | 0.8007 | 0.2773 | 0.0586 |
No log | 46.0 | 322 | 0.2487 | 0.815 | 0.3240 | 0.8416 | 0.815 | 0.7987 | 0.2757 | 0.0611 |
No log | 47.0 | 329 | 0.2674 | 0.845 | 0.3207 | 0.8407 | 0.845 | 0.8227 | 0.2963 | 0.0553 |
No log | 48.0 | 336 | 0.2522 | 0.805 | 0.3312 | 0.9376 | 0.805 | 0.7888 | 0.2714 | 0.0662 |
No log | 49.0 | 343 | 0.2547 | 0.81 | 0.3280 | 0.7847 | 0.81 | 0.7870 | 0.2696 | 0.0688 |
No log | 50.0 | 350 | 0.2523 | 0.81 | 0.3213 | 0.7968 | 0.81 | 0.7937 | 0.2599 | 0.0654 |
No log | 51.0 | 357 | 0.2526 | 0.815 | 0.3291 | 0.8022 | 0.815 | 0.7994 | 0.2888 | 0.0669 |
No log | 52.0 | 364 | 0.2568 | 0.835 | 0.3180 | 0.8317 | 0.835 | 0.8140 | 0.2750 | 0.0578 |
No log | 53.0 | 371 | 0.2496 | 0.82 | 0.3267 | 0.8442 | 0.82 | 0.8068 | 0.2825 | 0.0602 |
No log | 54.0 | 378 | 0.2602 | 0.82 | 0.3229 | 0.7963 | 0.82 | 0.8061 | 0.2714 | 0.0585 |
No log | 55.0 | 385 | 0.2477 | 0.81 | 0.3237 | 0.8278 | 0.81 | 0.7937 | 0.2511 | 0.0631 |
No log | 56.0 | 392 | 0.2508 | 0.83 | 0.3210 | 0.8302 | 0.83 | 0.8102 | 0.2706 | 0.0588 |
No log | 57.0 | 399 | 0.2454 | 0.815 | 0.3240 | 0.8377 | 0.815 | 0.7948 | 0.2607 | 0.0643 |
No log | 58.0 | 406 | 0.2488 | 0.815 | 0.3229 | 0.8308 | 0.815 | 0.7942 | 0.2569 | 0.0604 |
No log | 59.0 | 413 | 0.2510 | 0.82 | 0.3223 | 0.8314 | 0.82 | 0.8093 | 0.2779 | 0.0603 |
No log | 60.0 | 420 | 0.2499 | 0.82 | 0.3235 | 0.8401 | 0.82 | 0.8031 | 0.2578 | 0.0618 |
No log | 61.0 | 427 | 0.2478 | 0.81 | 0.3227 | 0.8315 | 0.81 | 0.7933 | 0.2645 | 0.0615 |
No log | 62.0 | 434 | 0.2460 | 0.82 | 0.3231 | 0.8364 | 0.82 | 0.8028 | 0.2795 | 0.0643 |
No log | 63.0 | 441 | 0.2489 | 0.825 | 0.3224 | 0.8337 | 0.825 | 0.8156 | 0.2759 | 0.0604 |
No log | 64.0 | 448 | 0.2482 | 0.825 | 0.3230 | 0.8320 | 0.825 | 0.8138 | 0.2753 | 0.0600 |
No log | 65.0 | 455 | 0.2462 | 0.815 | 0.3231 | 0.8354 | 0.815 | 0.8008 | 0.2551 | 0.0625 |
No log | 66.0 | 462 | 0.2470 | 0.815 | 0.3219 | 0.8338 | 0.815 | 0.8018 | 0.2729 | 0.0611 |
No log | 67.0 | 469 | 0.2457 | 0.81 | 0.3231 | 0.8336 | 0.81 | 0.7930 | 0.2587 | 0.0638 |
No log | 68.0 | 476 | 0.2472 | 0.815 | 0.3225 | 0.8334 | 0.815 | 0.8008 | 0.2706 | 0.0619 |
No log | 69.0 | 483 | 0.2473 | 0.825 | 0.3223 | 0.8357 | 0.825 | 0.8165 | 0.2668 | 0.0611 |
No log | 70.0 | 490 | 0.2481 | 0.81 | 0.3223 | 0.8343 | 0.81 | 0.7930 | 0.2685 | 0.0624 |
No log | 71.0 | 497 | 0.2472 | 0.825 | 0.3227 | 0.8338 | 0.825 | 0.8117 | 0.2839 | 0.0601 |
0.232 | 72.0 | 504 | 0.2472 | 0.815 | 0.3220 | 0.8345 | 0.815 | 0.8018 | 0.2617 | 0.0615 |
0.232 | 73.0 | 511 | 0.2486 | 0.82 | 0.3218 | 0.8321 | 0.82 | 0.8086 | 0.2768 | 0.0610 |
0.232 | 74.0 | 518 | 0.2468 | 0.815 | 0.3219 | 0.8338 | 0.815 | 0.8008 | 0.2717 | 0.0621 |
0.232 | 75.0 | 525 | 0.2470 | 0.82 | 0.3223 | 0.8325 | 0.82 | 0.8090 | 0.2625 | 0.0606 |
0.232 | 76.0 | 532 | 0.2474 | 0.825 | 0.3223 | 0.8322 | 0.825 | 0.8165 | 0.2723 | 0.0602 |
0.232 | 77.0 | 539 | 0.2476 | 0.805 | 0.3227 | 0.8345 | 0.805 | 0.7859 | 0.2589 | 0.0629 |
0.232 | 78.0 | 546 | 0.2479 | 0.82 | 0.3228 | 0.8336 | 0.82 | 0.8090 | 0.2674 | 0.0608 |
0.232 | 79.0 | 553 | 0.2478 | 0.82 | 0.3225 | 0.8349 | 0.82 | 0.8090 | 0.2624 | 0.0604 |
0.232 | 80.0 | 560 | 0.2477 | 0.81 | 0.3227 | 0.8337 | 0.81 | 0.7938 | 0.2577 | 0.0621 |
0.232 | 81.0 | 567 | 0.2478 | 0.82 | 0.3226 | 0.8336 | 0.82 | 0.8090 | 0.2670 | 0.0607 |
0.232 | 82.0 | 574 | 0.2480 | 0.825 | 0.3224 | 0.8340 | 0.825 | 0.8165 | 0.2673 | 0.0605 |
0.232 | 83.0 | 581 | 0.2479 | 0.82 | 0.3227 | 0.8347 | 0.82 | 0.8090 | 0.2564 | 0.0607 |
0.232 | 84.0 | 588 | 0.2480 | 0.82 | 0.3226 | 0.8342 | 0.82 | 0.8090 | 0.2625 | 0.0606 |
0.232 | 85.0 | 595 | 0.2480 | 0.82 | 0.3225 | 0.8339 | 0.82 | 0.8090 | 0.2625 | 0.0606 |
0.232 | 86.0 | 602 | 0.2479 | 0.825 | 0.3226 | 0.8339 | 0.825 | 0.8165 | 0.2677 | 0.0606 |
0.232 | 87.0 | 609 | 0.2479 | 0.82 | 0.3225 | 0.8339 | 0.82 | 0.8090 | 0.2624 | 0.0605 |
0.232 | 88.0 | 616 | 0.2481 | 0.825 | 0.3225 | 0.8343 | 0.825 | 0.8165 | 0.2675 | 0.0604 |
0.232 | 89.0 | 623 | 0.2481 | 0.825 | 0.3225 | 0.8341 | 0.825 | 0.8165 | 0.2722 | 0.0605 |
0.232 | 90.0 | 630 | 0.2481 | 0.82 | 0.3225 | 0.8341 | 0.82 | 0.8090 | 0.2625 | 0.0606 |
0.232 | 91.0 | 637 | 0.2481 | 0.82 | 0.3226 | 0.8345 | 0.82 | 0.8090 | 0.2629 | 0.0608 |
0.232 | 92.0 | 644 | 0.2481 | 0.825 | 0.3226 | 0.8342 | 0.825 | 0.8165 | 0.2675 | 0.0605 |
0.232 | 93.0 | 651 | 0.2481 | 0.825 | 0.3225 | 0.8340 | 0.825 | 0.8165 | 0.2675 | 0.0605 |
0.232 | 94.0 | 658 | 0.2481 | 0.82 | 0.3225 | 0.8343 | 0.82 | 0.8090 | 0.2625 | 0.0606 |
0.232 | 95.0 | 665 | 0.2482 | 0.82 | 0.3226 | 0.8345 | 0.82 | 0.8090 | 0.2627 | 0.0606 |
0.232 | 96.0 | 672 | 0.2482 | 0.82 | 0.3225 | 0.8343 | 0.82 | 0.8090 | 0.2627 | 0.0607 |
0.232 | 97.0 | 679 | 0.2482 | 0.82 | 0.3226 | 0.8344 | 0.82 | 0.8090 | 0.2627 | 0.0607 |
0.232 | 98.0 | 686 | 0.2482 | 0.82 | 0.3226 | 0.8344 | 0.82 | 0.8090 | 0.2626 | 0.0606 |
0.232 | 99.0 | 693 | 0.2482 | 0.82 | 0.3226 | 0.8343 | 0.82 | 0.8090 | 0.2625 | 0.0606 |
0.232 | 100.0 | 700 | 0.2482 | 0.82 | 0.3226 | 0.8343 | 0.82 | 0.8090 | 0.2625 | 0.0606 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1.post200
- Datasets 2.9.0
- Tokenizers 0.13.2