--- library_name: transformers license: apache-2.0 base_model: facebook/dinov2-large tags: - generated_from_trainer metrics: - accuracy model-index: - name: Kamoulox-large-2024_10_31-batch-size64_freeze_monolabel results: [] --- # Kamoulox-large-2024_10_31-batch-size64_freeze_monolabel This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0494 - F1 Micro: 0.7640 - F1 Macro: 0.3461 - Accuracy: 0.7130 - Learning Rate: 0.0000 ## 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: 0.001 - train_batch_size: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 150 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Accuracy | F1 Macro | F1 Micro | Validation Loss | Rate | |:-------------:|:-----:|:------:|:--------:|:--------:|:--------:|:---------------:|:------:| | 0.9079 | 1.0 | 2691 | 0.7327 | 0.2723 | 0.7327 | 0.8029 | 0.001 | | 0.8824 | 2.0 | 5382 | 0.7289 | 0.2907 | 0.7289 | 0.8039 | 0.001 | | 0.8655 | 3.0 | 8073 | 0.7409 | 0.3270 | 0.7409 | 0.7705 | 0.001 | | 0.8514 | 4.0 | 10764 | 0.7417 | 0.3102 | 0.7417 | 0.7623 | 0.001 | | 0.844 | 5.0 | 13455 | 0.7383 | 0.3108 | 0.7383 | 0.7627 | 0.001 | | 0.8437 | 6.0 | 16146 | 0.7447 | 0.3433 | 0.7447 | 0.7452 | 0.001 | | 0.8289 | 7.0 | 18837 | 0.7467 | 0.3283 | 0.7467 | 0.7458 | 0.001 | | 0.8402 | 8.0 | 21528 | 0.7459 | 0.3353 | 0.7459 | 0.7399 | 0.001 | | 0.8274 | 9.0 | 24219 | 0.7455 | 0.3294 | 0.7455 | 0.7425 | 0.001 | | 0.8289 | 10.0 | 26910 | 0.7475 | 0.3157 | 0.7475 | 0.7364 | 0.001 | | 0.8368 | 11.0 | 29601 | 0.7465 | 0.3442 | 0.7465 | 0.7368 | 0.001 | | 0.8329 | 12.0 | 32292 | 0.7428 | 0.3321 | 0.7428 | 0.7442 | 0.001 | | 0.8359 | 13.0 | 34983 | 0.7479 | 0.3528 | 0.7479 | 0.7384 | 0.001 | | 0.8388 | 14.0 | 37674 | 0.7464 | 0.3346 | 0.7464 | 0.7464 | 0.001 | | 0.8306 | 15.0 | 40365 | 0.7447 | 0.3428 | 0.7447 | 0.7394 | 0.001 | | 0.8304 | 16.0 | 43056 | 0.7479 | 0.3506 | 0.7479 | 0.7397 | 0.001 | | 0.7886 | 17.0 | 45747 | 0.7554 | 0.3747 | 0.7554 | 0.7111 | 0.0001 | | 0.7815 | 18.0 | 48438 | 0.7567 | 0.3793 | 0.7567 | 0.7042 | 0.0001 | | 0.7682 | 19.0 | 51129 | 0.7582 | 0.3858 | 0.7582 | 0.7005 | 0.0001 | | 0.7788 | 20.0 | 53820 | 0.7603 | 0.3934 | 0.7603 | 0.6943 | 0.0001 | | 0.7735 | 21.0 | 56511 | 0.7593 | 0.3943 | 0.7593 | 0.6919 | 0.0001 | | 0.7602 | 22.0 | 59202 | 0.7606 | 0.3925 | 0.7606 | 0.6904 | 0.0001 | | 0.7572 | 23.0 | 61893 | 0.7607 | 0.3953 | 0.7607 | 0.6874 | 0.0001 | | 0.7593 | 24.0 | 64584 | 0.7612 | 0.3933 | 0.7612 | 0.6865 | 0.0001 | | 0.7548 | 25.0 | 67275 | 0.7614 | 0.4023 | 0.7614 | 0.6843 | 0.0001 | | 0.7557 | 26.0 | 69966 | 0.7629 | 0.4055 | 0.7629 | 0.6830 | 0.0001 | | 0.7534 | 27.0 | 72657 | 0.7631 | 0.4074 | 0.7631 | 0.6827 | 0.0001 | | 0.7609 | 28.0 | 75348 | 0.7629 | 0.4136 | 0.7629 | 0.6806 | 0.0001 | | 0.7537 | 29.0 | 78039 | 0.7626 | 0.4138 | 0.7626 | 0.6796 | 0.0001 | | 0.7533 | 30.0 | 80730 | 0.7636 | 0.4128 | 0.7636 | 0.6775 | 0.0001 | | 0.7481 | 31.0 | 83421 | 0.7644 | 0.4100 | 0.7644 | 0.6779 | 0.0001 | | 0.7523 | 32.0 | 86112 | 0.7642 | 0.4109 | 0.7642 | 0.6755 | 0.0001 | | 0.7459 | 33.0 | 88803 | 0.7645 | 0.4186 | 0.7645 | 0.6750 | 0.0001 | | 0.7454 | 34.0 | 91494 | 0.7650 | 0.4146 | 0.7650 | 0.6746 | 0.0001 | | 0.7426 | 35.0 | 94185 | 0.7642 | 0.4255 | 0.7642 | 0.6740 | 0.0001 | | 0.7446 | 36.0 | 96876 | 0.7647 | 0.4204 | 0.7647 | 0.6740 | 0.0001 | | 0.7431 | 37.0 | 99567 | 0.7642 | 0.4194 | 0.7642 | 0.6731 | 0.0001 | | 0.7468 | 38.0 | 102258 | 0.7649 | 0.4243 | 0.7649 | 0.6720 | 0.0001 | | 0.7307 | 39.0 | 104949 | 0.7659 | 0.4204 | 0.7659 | 0.6695 | 0.0001 | | 0.7404 | 40.0 | 107640 | 0.7665 | 0.4205 | 0.7665 | 0.6694 | 0.0001 | | 0.7355 | 41.0 | 110331 | 0.7658 | 0.4176 | 0.7658 | 0.6683 | 0.0001 | | 0.7508 | 42.0 | 113022 | 0.7665 | 0.4307 | 0.7665 | 0.6683 | 0.0001 | | 0.7368 | 43.0 | 115713 | 0.7664 | 0.4264 | 0.7664 | 0.6695 | 0.0001 | | 0.7362 | 44.0 | 118404 | 0.7658 | 0.4261 | 0.7658 | 0.6694 | 0.0001 | | 0.7287 | 45.0 | 121095 | 0.7650 | 0.4308 | 0.7650 | 0.6695 | 0.0001 | | 0.7374 | 46.0 | 123786 | 0.7674 | 0.4362 | 0.7674 | 0.6653 | 0.0001 | | 0.7321 | 47.0 | 126477 | 0.7674 | 0.4328 | 0.7674 | 0.6660 | 0.0001 | | 0.7352 | 48.0 | 129168 | 0.7669 | 0.4308 | 0.7669 | 0.6656 | 0.0001 | | 0.7373 | 49.0 | 131859 | 0.7666 | 0.4242 | 0.7666 | 0.6673 | 0.0001 | | 0.7307 | 50.0 | 134550 | 0.7663 | 0.4315 | 0.7663 | 0.6661 | 0.0001 | | 0.7235 | 51.0 | 137241 | 0.7667 | 0.4308 | 0.7667 | 0.6639 | 0.0001 | | 0.7295 | 52.0 | 139932 | 0.7679 | 0.4428 | 0.7679 | 0.6655 | 0.0001 | | 0.7267 | 53.0 | 142623 | 0.7672 | 0.4342 | 0.7672 | 0.6643 | 0.0001 | | 0.724 | 54.0 | 145314 | 0.7663 | 0.4460 | 0.7663 | 0.6674 | 0.0001 | | 0.734 | 55.0 | 148005 | 0.7685 | 0.4389 | 0.7685 | 0.6627 | 0.0001 | | 0.7285 | 56.0 | 150696 | 0.7671 | 0.4386 | 0.7671 | 0.6627 | 0.0001 | | 0.729 | 57.0 | 153387 | 0.7669 | 0.4385 | 0.7669 | 0.6640 | 0.0001 | | 0.7179 | 58.0 | 156078 | 0.7673 | 0.4376 | 0.7673 | 0.6628 | 0.0001 | | 0.7257 | 59.0 | 158769 | 0.7679 | 0.4399 | 0.7679 | 0.6615 | 0.0001 | | 0.7297 | 60.0 | 161460 | 0.7670 | 0.4419 | 0.7670 | 0.6633 | 0.0001 | | 0.7297 | 61.0 | 164151 | 0.7686 | 0.4371 | 0.7686 | 0.6611 | 0.0001 | | 0.7262 | 62.0 | 166842 | 0.7684 | 0.4535 | 0.7684 | 0.6608 | 0.0001 | | 0.7204 | 63.0 | 169533 | 0.7678 | 0.4461 | 0.7678 | 0.6622 | 0.0001 | | 0.7296 | 64.0 | 172224 | 0.7675 | 0.4439 | 0.7675 | 0.6610 | 0.0001 | | 0.7253 | 65.0 | 174915 | 0.7680 | 0.4346 | 0.7680 | 0.6590 | 0.0001 | | 0.723 | 66.0 | 177606 | 0.7685 | 0.4397 | 0.7685 | 0.6600 | 0.0001 | | 0.7257 | 67.0 | 180297 | 0.7690 | 0.4484 | 0.7690 | 0.6572 | 0.0001 | | 0.7257 | 68.0 | 182988 | 0.7687 | 0.4442 | 0.7687 | 0.6589 | 0.0001 | | 0.7299 | 69.0 | 185679 | 0.7689 | 0.4393 | 0.7689 | 0.6593 | 0.0001 | | 0.7289 | 70.0 | 188370 | 0.7679 | 0.4357 | 0.7679 | 0.6590 | 0.0001 | | 0.7179 | 71.0 | 191061 | 0.7682 | 0.4432 | 0.7682 | 0.6567 | 0.0001 | | 0.7292 | 72.0 | 193752 | 0.7681 | 0.4369 | 0.7681 | 0.6589 | 0.0001 | | 0.7139 | 73.0 | 196443 | 0.7676 | 0.4437 | 0.7676 | 0.6612 | 0.0001 | | 0.7307 | 74.0 | 199134 | 0.7685 | 0.4491 | 0.7685 | 0.6571 | 0.0001 | | 0.7238 | 75.0 | 201825 | 0.7682 | 0.4444 | 0.7682 | 0.6557 | 0.0001 | | 0.7257 | 76.0 | 204516 | 0.7683 | 0.4479 | 0.7683 | 0.6588 | 0.0001 | | 0.7252 | 77.0 | 207207 | 0.7686 | 0.4489 | 0.7686 | 0.6572 | 0.0001 | | 0.7231 | 78.0 | 209898 | 0.7688 | 0.4440 | 0.7688 | 0.6563 | 0.0001 | | 0.7207 | 79.0 | 212589 | 0.7681 | 0.4379 | 0.7681 | 0.6565 | 0.0001 | | 0.7179 | 80.0 | 215280 | 0.7684 | 0.4461 | 0.7684 | 0.6611 | 0.0001 | | 0.7275 | 81.0 | 217971 | 0.7689 | 0.4475 | 0.7689 | 0.6604 | 0.0001 | | 0.7101 | 82.0 | 220662 | 0.7706 | 0.4527 | 0.7706 | 0.6532 | 1e-05 | | 0.7063 | 83.0 | 223353 | 0.7702 | 0.4489 | 0.7702 | 0.6533 | 1e-05 | | 0.7067 | 84.0 | 226044 | 0.7705 | 0.4514 | 0.7705 | 0.6505 | 1e-05 | | 0.707 | 85.0 | 228735 | 0.7708 | 0.4566 | 0.7708 | 0.6502 | 1e-05 | | 0.6944 | 86.0 | 231426 | 0.7707 | 0.4559 | 0.7707 | 0.6507 | 1e-05 | | 0.6958 | 87.0 | 234117 | 0.7709 | 0.4584 | 0.7709 | 0.6484 | 1e-05 | | 0.6967 | 88.0 | 236808 | 0.7705 | 0.4569 | 0.7705 | 0.6496 | 1e-05 | | 0.698 | 89.0 | 239499 | 0.7714 | 0.4560 | 0.7714 | 0.6486 | 1e-05 | | 0.6966 | 90.0 | 242190 | 0.7712 | 0.4574 | 0.7712 | 0.6491 | 1e-05 | | 0.7017 | 91.0 | 244881 | 0.7704 | 0.4518 | 0.7704 | 0.6482 | 1e-05 | | 0.7 | 92.0 | 247572 | 0.7716 | 0.4550 | 0.7716 | 0.6477 | 1e-05 | | 0.7 | 93.0 | 250263 | 0.7712 | 0.4518 | 0.7712 | 0.6490 | 1e-05 | | 0.7049 | 94.0 | 252954 | 0.7708 | 0.4511 | 0.7708 | 0.6485 | 1e-05 | | 0.6949 | 95.0 | 255645 | 0.7717 | 0.4567 | 0.7717 | 0.6479 | 1e-05 | | 0.6998 | 96.0 | 258336 | 0.7715 | 0.4597 | 0.7715 | 0.6473 | 1e-05 | | 0.6968 | 97.0 | 261027 | 0.7714 | 0.4625 | 0.7714 | 0.6461 | 1e-05 | | 0.7055 | 98.0 | 263718 | 0.7722 | 0.4589 | 0.7722 | 0.6463 | 1e-05 | | 0.6931 | 99.0 | 266409 | 0.7709 | 0.4549 | 0.7709 | 0.6469 | 1e-05 | | 0.6872 | 100.0 | 269100 | 0.7723 | 0.4597 | 0.7723 | 0.6456 | 1e-05 | | 0.6822 | 101.0 | 271791 | 0.7717 | 0.4574 | 0.7717 | 0.6469 | 1e-05 | | 0.6875 | 102.0 | 274482 | 0.7718 | 0.4593 | 0.7718 | 0.6467 | 1e-05 | | 0.6983 | 103.0 | 277173 | 0.7723 | 0.4577 | 0.7723 | 0.6468 | 1e-05 | | 0.6902 | 104.0 | 279864 | 0.7725 | 0.4579 | 0.7725 | 0.6457 | 1e-05 | | 0.6876 | 105.0 | 282555 | 0.7719 | 0.4556 | 0.7719 | 0.6456 | 1e-05 | | 0.6849 | 106.0 | 285246 | 0.7723 | 0.4644 | 0.7723 | 0.6444 | 1e-05 | | 0.3411 | 107.0 | 287937 | 0.2655 | 0.4911 | 0.3607 | 0.0480 | 1e-05 | | 0.141 | 108.0 | 290628 | 0.1419 | 0.6694 | 0.2246 | 0.4498 | 1e-05 | | 0.0809 | 109.0 | 293319 | 0.0776 | 0.7450 | 0.2137 | 0.6715 | 1e-05 | | 0.0621 | 110.0 | 296010 | 0.0580 | 0.7489 | 0.2641 | 0.6837 | 1e-05 | | 0.0582 | 111.0 | 298701 | 0.0535 | 0.7547 | 0.3316 | 0.6935 | 1e-05 | | 0.0568 | 112.0 | 301392 | 0.0517 | 0.7585 | 0.3484 | 0.6998 | 1e-05 | | 0.0557 | 113.0 | 304083 | 0.0511 | 0.7611 | 0.3379 | 0.7043 | 1e-05 | | 0.0552 | 114.0 | 306774 | 0.0507 | 0.7622 | 0.3570 | 0.7054 | 1e-05 | | 0.0555 | 115.0 | 309465 | 0.0504 | 0.7647 | 0.3643 | 0.7118 | 1e-05 | | 0.0546 | 116.0 | 312156 | 0.0502 | 0.7647 | 0.3623 | 0.7102 | 1e-05 | | 0.0545 | 117.0 | 314847 | 0.0502 | 0.7657 | 0.3654 | 0.7129 | 1e-05 | | 0.0535 | 118.0 | 317538 | 0.0505 | 0.7655 | 0.3524 | 0.7142 | 1e-05 | | 0.0539 | 119.0 | 320229 | 0.0499 | 0.7659 | 0.3442 | 0.7127 | 1e-05 | | 0.0541 | 120.0 | 322920 | 0.0499 | 0.7657 | 0.3508 | 0.7131 | 1e-05 | | 0.0539 | 121.0 | 325611 | 0.0496 | 0.7666 | 0.3628 | 0.7141 | 1e-05 | | 0.0542 | 122.0 | 328302 | 0.0497 | 0.7672 | 0.3529 | 0.7164 | 1e-05 | | 0.0536 | 123.0 | 330993 | 0.0495 | 0.7662 | 0.3674 | 0.7154 | 1e-05 | | 0.0539 | 124.0 | 333684 | 0.0496 | 0.7674 | 0.3641 | 0.7161 | 1e-05 | | 0.0535 | 125.0 | 336375 | 0.0496 | 0.7658 | 0.3509 | 0.7124 | 1e-05 | | 0.0536 | 126.0 | 339066 | 0.0495 | 0.7661 | 0.3742 | 0.7153 | 1e-05 | | 0.054 | 127.0 | 341757 | 0.0494 | 0.7663 | 0.3574 | 0.7149 | 1e-05 | | 0.054 | 128.0 | 344448 | 0.0494 | 0.7665 | 0.3601 | 0.7144 | 1e-05 | | 0.0538 | 129.0 | 347139 | 0.0494 | 0.7674 | 0.3642 | 0.7179 | 1e-05 | | 0.0538 | 130.0 | 349830 | 0.0494 | 0.7668 | 0.3603 | 0.7177 | 1e-05 | | 0.0531 | 131.0 | 352521 | 0.0494 | 0.7665 | 0.3664 | 0.7182 | 1e-05 | | 0.0528 | 132.0 | 355212 | 0.0494 | 0.7665 | 0.3651 | 0.7176 | 1e-05 | | 0.053 | 133.0 | 357903 | 0.0493 | 0.7658 | 0.3612 | 0.7146 | 1e-05 | | 0.0534 | 134.0 | 360594 | 0.0493 | 0.7660 | 0.3678 | 0.7155 | 1e-05 | | 0.0528 | 135.0 | 363285 | 0.0493 | 0.7674 | 0.3723 | 0.7190 | 1e-05 | | 0.0533 | 136.0 | 365976 | 0.0492 | 0.7667 | 0.3597 | 0.7151 | 1e-05 | | 0.0534 | 137.0 | 368667 | 0.0492 | 0.7665 | 0.3631 | 0.7158 | 1e-05 | | 0.0534 | 138.0 | 371358 | 0.0493 | 0.7665 | 0.3688 | 0.7178 | 1e-05 | | 0.053 | 139.0 | 374049 | 0.0493 | 0.7662 | 0.3563 | 0.7182 | 1e-05 | | 0.0528 | 140.0 | 376740 | 0.0492 | 0.7674 | 0.3700 | 0.7198 | 1e-05 | | 0.0529 | 141.0 | 379431 | 0.0492 | 0.7666 | 0.3507 | 0.7165 | 1e-05 | | 0.0529 | 142.0 | 382122 | 0.0492 | 0.7669 | 0.3660 | 0.7194 | 1e-05 | | 0.0534 | 143.0 | 384813 | 0.0493 | 0.7655 | 0.3673 | 0.7168 | 1e-05 | | 0.0528 | 144.0 | 387504 | 0.0490 | 0.7668 | 0.3554 | 0.7171 | 0.0000 | | 0.0534 | 145.0 | 390195 | 0.0492 | 0.7678 | 0.3711 | 0.7202 | 0.0000 | | 0.0529 | 146.0 | 392886 | 0.0490 | 0.7665 | 0.3683 | 0.7171 | 0.0000 | | 0.0532 | 147.0 | 395577 | 0.0491 | 0.7685 | 0.3748 | 0.7208 | 0.0000 | | 0.053 | 148.0 | 398268 | 0.0491 | 0.7667 | 0.3650 | 0.7167 | 0.0000 | | 0.0526 | 149.0 | 400959 | 0.0490 | 0.7671 | 0.3788 | 0.7182 | 0.0000 | | 0.0535 | 150.0 | 403650 | 0.0491 | 0.7668 | 0.3726 | 0.7154 | 0.0000 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.0 - Tokenizers 0.19.1