--- base_model: microsoft/conditional-detr-resnet-50 license: apache-2.0 tags: - generated_from_trainer model-index: - name: emotion_detection_cctv results: [] --- # emotion_detection_cctv This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.1520 - Map: 0.9392 - Map 50: 0.9998 - Map 75: 0.9948 - Map Small: -1.0 - Map Medium: -1.0 - Map Large: 0.9392 - Mar 1: 0.7807 - Mar 10: 0.9616 - Mar 100: 0.9616 - Mar Small: -1.0 - Mar Medium: -1.0 - Mar Large: 0.9616 - Map Nf: 0.9236 - Mar 100 Nf: 0.9523 - Map F: 0.9547 - Mar 100 F: 0.9708 ## 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: 5e-05 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 100 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Nf | Mar 100 Nf | Map F | Mar 100 F | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------:|:----------:|:------:|:---------:| | No log | 1.0 | 90 | 1.8304 | 0.0733 | 0.1801 | 0.038 | -1.0 | 0.0 | 0.0738 | 0.117 | 0.4402 | 0.5369 | -1.0 | 0.0 | 0.5399 | 0.1099 | 0.6468 | 0.0366 | 0.427 | | No log | 2.0 | 180 | 1.3214 | 0.1882 | 0.3323 | 0.2001 | -1.0 | -1.0 | 0.1882 | 0.2849 | 0.6302 | 0.6873 | -1.0 | -1.0 | 0.6873 | 0.3155 | 0.7319 | 0.0609 | 0.6427 | | No log | 3.0 | 270 | 1.1104 | 0.3338 | 0.5621 | 0.3832 | -1.0 | -1.0 | 0.3338 | 0.3734 | 0.6759 | 0.7053 | -1.0 | -1.0 | 0.7053 | 0.5266 | 0.7375 | 0.141 | 0.673 | | No log | 4.0 | 360 | 1.0762 | 0.3481 | 0.6067 | 0.3563 | -1.0 | -1.0 | 0.3481 | 0.3946 | 0.6117 | 0.6466 | -1.0 | -1.0 | 0.6466 | 0.5588 | 0.6875 | 0.1374 | 0.6056 | | No log | 5.0 | 450 | 0.9652 | 0.3807 | 0.6111 | 0.443 | -1.0 | 0.0 | 0.3815 | 0.3975 | 0.6352 | 0.6545 | -1.0 | 0.0 | 0.6578 | 0.6101 | 0.7259 | 0.1513 | 0.5831 | | 4.5043 | 6.0 | 540 | 0.9340 | 0.463 | 0.7541 | 0.5336 | -1.0 | 0.0 | 0.4652 | 0.4403 | 0.675 | 0.6853 | -1.0 | 0.0 | 0.689 | 0.5897 | 0.7167 | 0.3364 | 0.6539 | | 4.5043 | 7.0 | 630 | 0.9507 | 0.4406 | 0.7489 | 0.4748 | 0.0 | -1.0 | 0.442 | 0.411 | 0.6556 | 0.6616 | 0.0 | -1.0 | 0.6633 | 0.568 | 0.7042 | 0.3132 | 0.6191 | | 4.5043 | 8.0 | 720 | 0.7813 | 0.5193 | 0.8038 | 0.6507 | -1.0 | -1.0 | 0.5194 | 0.4466 | 0.7254 | 0.7274 | -1.0 | -1.0 | 0.7274 | 0.6451 | 0.7324 | 0.3936 | 0.7225 | | 4.5043 | 9.0 | 810 | 0.7608 | 0.5436 | 0.8306 | 0.6426 | -1.0 | -1.0 | 0.5436 | 0.4949 | 0.7161 | 0.7166 | -1.0 | -1.0 | 0.7166 | 0.6642 | 0.7366 | 0.423 | 0.6966 | | 4.5043 | 10.0 | 900 | 0.7774 | 0.5606 | 0.858 | 0.6495 | -1.0 | 0.0 | 0.5619 | 0.4995 | 0.7321 | 0.735 | -1.0 | 0.0 | 0.7367 | 0.6378 | 0.7329 | 0.4833 | 0.7371 | | 4.5043 | 11.0 | 990 | 0.7060 | 0.5533 | 0.8493 | 0.6853 | -1.0 | -1.0 | 0.5533 | 0.5187 | 0.7171 | 0.7174 | -1.0 | -1.0 | 0.7174 | 0.6789 | 0.7583 | 0.4278 | 0.6764 | | 0.8542 | 12.0 | 1080 | 0.7088 | 0.5999 | 0.9146 | 0.7448 | -1.0 | 0.0 | 0.6031 | 0.5423 | 0.7027 | 0.7043 | -1.0 | 0.0 | 0.7081 | 0.6665 | 0.7435 | 0.5334 | 0.6652 | | 0.8542 | 13.0 | 1170 | 0.6888 | 0.6113 | 0.9251 | 0.7798 | -1.0 | 0.0 | 0.6128 | 0.5378 | 0.7202 | 0.7209 | -1.0 | 0.0 | 0.7227 | 0.6805 | 0.7486 | 0.5422 | 0.6933 | | 0.8542 | 14.0 | 1260 | 0.6578 | 0.6267 | 0.931 | 0.7653 | -1.0 | -1.0 | 0.627 | 0.5623 | 0.7258 | 0.7272 | -1.0 | -1.0 | 0.7272 | 0.6656 | 0.7375 | 0.5878 | 0.7169 | | 0.8542 | 15.0 | 1350 | 0.6039 | 0.6602 | 0.954 | 0.8066 | -1.0 | -1.0 | 0.6604 | 0.5807 | 0.7465 | 0.7474 | -1.0 | -1.0 | 0.7474 | 0.71 | 0.769 | 0.6104 | 0.7258 | | 0.8542 | 16.0 | 1440 | 0.5776 | 0.6653 | 0.977 | 0.8311 | -1.0 | -1.0 | 0.6653 | 0.5896 | 0.7402 | 0.7407 | -1.0 | -1.0 | 0.7407 | 0.7063 | 0.7623 | 0.6244 | 0.7191 | | 0.6835 | 17.0 | 1530 | 0.5971 | 0.6577 | 0.9538 | 0.8235 | -1.0 | -1.0 | 0.6577 | 0.5731 | 0.7449 | 0.7478 | -1.0 | -1.0 | 0.7478 | 0.6995 | 0.7619 | 0.6158 | 0.7337 | | 0.6835 | 18.0 | 1620 | 0.6152 | 0.6566 | 0.9211 | 0.8114 | -1.0 | -1.0 | 0.6566 | 0.5949 | 0.7604 | 0.7615 | -1.0 | -1.0 | 0.7615 | 0.6964 | 0.7657 | 0.6167 | 0.7573 | | 0.6835 | 19.0 | 1710 | 0.6240 | 0.6666 | 0.9503 | 0.8598 | -1.0 | 0.0 | 0.6811 | 0.5829 | 0.7345 | 0.7363 | -1.0 | 0.0 | 0.7532 | 0.6962 | 0.7569 | 0.637 | 0.7157 | | 0.6835 | 20.0 | 1800 | 0.5781 | 0.6854 | 0.9693 | 0.8822 | -1.0 | -1.0 | 0.6856 | 0.6025 | 0.7605 | 0.7605 | -1.0 | -1.0 | 0.7605 | 0.704 | 0.7625 | 0.6668 | 0.7584 | | 0.6835 | 21.0 | 1890 | 0.5097 | 0.7255 | 0.9829 | 0.9169 | -1.0 | 0.075 | 0.7321 | 0.6342 | 0.786 | 0.7862 | -1.0 | 0.15 | 0.7918 | 0.733 | 0.787 | 0.718 | 0.7854 | | 0.6835 | 22.0 | 1980 | 0.5694 | 0.68 | 0.963 | 0.8484 | -1.0 | -1.0 | 0.68 | 0.6075 | 0.7613 | 0.762 | -1.0 | -1.0 | 0.762 | 0.7047 | 0.7611 | 0.6554 | 0.7629 | | 0.5958 | 23.0 | 2070 | 0.5036 | 0.7132 | 0.9856 | 0.8779 | -1.0 | 0.0 | 0.7152 | 0.6227 | 0.778 | 0.7802 | -1.0 | 0.0 | 0.782 | 0.7326 | 0.7884 | 0.6939 | 0.7719 | | 0.5958 | 24.0 | 2160 | 0.5662 | 0.6767 | 0.9519 | 0.8501 | -1.0 | 0.0 | 0.6787 | 0.6025 | 0.7635 | 0.7635 | -1.0 | 0.0 | 0.7653 | 0.7101 | 0.7708 | 0.6434 | 0.7562 | | 0.5958 | 25.0 | 2250 | 0.5620 | 0.7029 | 0.9719 | 0.9007 | -1.0 | -1.0 | 0.703 | 0.6149 | 0.7708 | 0.7713 | -1.0 | -1.0 | 0.7713 | 0.7112 | 0.7796 | 0.6946 | 0.7629 | | 0.5958 | 26.0 | 2340 | 0.5236 | 0.7173 | 0.9638 | 0.9165 | -1.0 | 0.016 | 0.7187 | 0.6328 | 0.7883 | 0.7886 | -1.0 | 0.4 | 0.7895 | 0.7285 | 0.7907 | 0.706 | 0.7864 | | 0.5958 | 27.0 | 2430 | 0.4734 | 0.7433 | 0.9886 | 0.94 | -1.0 | -1.0 | 0.7434 | 0.6431 | 0.8014 | 0.8021 | -1.0 | -1.0 | 0.8021 | 0.7472 | 0.8042 | 0.7395 | 0.8 | | 0.5447 | 28.0 | 2520 | 0.4826 | 0.7364 | 0.9868 | 0.942 | -1.0 | -1.0 | 0.7364 | 0.6417 | 0.7931 | 0.7941 | -1.0 | -1.0 | 0.7941 | 0.7555 | 0.8083 | 0.7172 | 0.7798 | | 0.5447 | 29.0 | 2610 | 0.5002 | 0.7229 | 0.9827 | 0.9309 | -1.0 | 0.0 | 0.7279 | 0.6386 | 0.7812 | 0.7812 | -1.0 | 0.0 | 0.7856 | 0.7501 | 0.7995 | 0.6957 | 0.7629 | | 0.5447 | 30.0 | 2700 | 0.4752 | 0.7529 | 0.9831 | 0.937 | -1.0 | -1.0 | 0.7529 | 0.6405 | 0.8089 | 0.8091 | -1.0 | -1.0 | 0.8091 | 0.7639 | 0.8093 | 0.7419 | 0.809 | | 0.5447 | 31.0 | 2790 | 0.4524 | 0.7208 | 0.9756 | 0.9124 | -1.0 | -1.0 | 0.7209 | 0.6312 | 0.7916 | 0.7933 | -1.0 | -1.0 | 0.7933 | 0.7589 | 0.8157 | 0.6827 | 0.7708 | | 0.5447 | 32.0 | 2880 | 0.4278 | 0.752 | 0.9906 | 0.9451 | -1.0 | -1.0 | 0.752 | 0.6536 | 0.8061 | 0.8066 | -1.0 | -1.0 | 0.8066 | 0.7781 | 0.8255 | 0.7259 | 0.7876 | | 0.5447 | 33.0 | 2970 | 0.4699 | 0.7509 | 0.9883 | 0.9441 | -1.0 | -1.0 | 0.751 | 0.651 | 0.8109 | 0.8114 | -1.0 | -1.0 | 0.8114 | 0.7505 | 0.8014 | 0.7514 | 0.8213 | | 0.5069 | 34.0 | 3060 | 0.5125 | 0.7178 | 0.9529 | 0.9109 | -1.0 | 0.0 | 0.7277 | 0.6415 | 0.7884 | 0.793 | -1.0 | 0.0 | 0.8041 | 0.7346 | 0.7917 | 0.7011 | 0.7943 | | 0.5069 | 35.0 | 3150 | 0.5031 | 0.7323 | 0.9687 | 0.912 | -1.0 | 0.0 | 0.7407 | 0.643 | 0.7889 | 0.7906 | -1.0 | 0.0 | 0.7994 | 0.764 | 0.8148 | 0.7005 | 0.7663 | | 0.5069 | 36.0 | 3240 | 0.4753 | 0.7423 | 0.9856 | 0.9226 | -1.0 | 0.0 | 0.7445 | 0.6481 | 0.7989 | 0.7989 | -1.0 | 0.0 | 0.8007 | 0.7594 | 0.8056 | 0.7252 | 0.7921 | | 0.5069 | 37.0 | 3330 | 0.4264 | 0.7617 | 0.9804 | 0.9631 | -1.0 | 0.0 | 0.767 | 0.6575 | 0.815 | 0.815 | -1.0 | 0.0 | 0.8195 | 0.79 | 0.8333 | 0.7335 | 0.7966 | | 0.5069 | 38.0 | 3420 | 0.3995 | 0.7762 | 0.9927 | 0.9628 | -1.0 | -1.0 | 0.7762 | 0.6747 | 0.8279 | 0.8279 | -1.0 | -1.0 | 0.8279 | 0.7764 | 0.8233 | 0.776 | 0.8326 | | 0.4669 | 39.0 | 3510 | 0.4286 | 0.7475 | 0.9772 | 0.9464 | -1.0 | 0.0 | 0.7553 | 0.6506 | 0.8057 | 0.8057 | -1.0 | 0.0 | 0.812 | 0.7851 | 0.8293 | 0.71 | 0.782 | | 0.4669 | 40.0 | 3600 | 0.3864 | 0.7726 | 0.9889 | 0.9608 | -1.0 | 0.0 | 0.7774 | 0.6696 | 0.8235 | 0.8235 | -1.0 | 0.0 | 0.8281 | 0.7991 | 0.8505 | 0.7461 | 0.7966 | | 0.4669 | 41.0 | 3690 | 0.3316 | 0.8136 | 0.9983 | 0.9729 | -1.0 | -1.0 | 0.8136 | 0.6932 | 0.8572 | 0.8572 | -1.0 | -1.0 | 0.8572 | 0.8231 | 0.8639 | 0.8041 | 0.8506 | | 0.4669 | 42.0 | 3780 | 0.3657 | 0.7848 | 0.9762 | 0.9601 | -1.0 | 0.0 | 0.7936 | 0.6833 | 0.8424 | 0.8424 | -1.0 | 0.0 | 0.8518 | 0.8105 | 0.86 | 0.759 | 0.8247 | | 0.4669 | 43.0 | 3870 | 0.3636 | 0.7887 | 0.9952 | 0.9636 | -1.0 | -1.0 | 0.7888 | 0.6778 | 0.8408 | 0.8408 | -1.0 | -1.0 | 0.8408 | 0.7958 | 0.8491 | 0.7816 | 0.8326 | | 0.4669 | 44.0 | 3960 | 0.3760 | 0.7813 | 0.9871 | 0.9434 | -1.0 | -1.0 | 0.7813 | 0.6789 | 0.8321 | 0.8327 | -1.0 | -1.0 | 0.8327 | 0.8005 | 0.844 | 0.7621 | 0.8213 | | 0.4227 | 45.0 | 4050 | 0.3942 | 0.7916 | 0.9925 | 0.9407 | -1.0 | 0.02 | 0.7937 | 0.6846 | 0.8419 | 0.8421 | -1.0 | 0.1 | 0.8438 | 0.7844 | 0.8315 | 0.7988 | 0.8528 | | 0.4227 | 46.0 | 4140 | 0.3440 | 0.8051 | 0.9979 | 0.9767 | -1.0 | -1.0 | 0.8051 | 0.6948 | 0.8578 | 0.8578 | -1.0 | -1.0 | 0.8578 | 0.8053 | 0.8537 | 0.8049 | 0.8618 | | 0.4227 | 47.0 | 4230 | 0.3353 | 0.8129 | 0.9836 | 0.9605 | -1.0 | 0.0 | 0.8172 | 0.6903 | 0.8543 | 0.8543 | -1.0 | 0.0 | 0.8591 | 0.8318 | 0.8727 | 0.794 | 0.836 | | 0.4227 | 48.0 | 4320 | 0.3638 | 0.8048 | 0.9915 | 0.9616 | -1.0 | 0.0 | 0.8069 | 0.6896 | 0.8514 | 0.8514 | -1.0 | 0.0 | 0.8534 | 0.8003 | 0.8444 | 0.8092 | 0.8584 | | 0.4227 | 49.0 | 4410 | 0.3310 | 0.8218 | 0.9982 | 0.9699 | -1.0 | -1.0 | 0.8218 | 0.6972 | 0.865 | 0.8662 | -1.0 | -1.0 | 0.8662 | 0.8209 | 0.8694 | 0.8226 | 0.8629 | | 0.3807 | 50.0 | 4500 | 0.3393 | 0.8108 | 0.9796 | 0.9528 | -1.0 | -1.0 | 0.8108 | 0.6952 | 0.8515 | 0.8515 | -1.0 | -1.0 | 0.8515 | 0.8227 | 0.8648 | 0.799 | 0.8382 | | 0.3807 | 51.0 | 4590 | 0.3205 | 0.8225 | 0.9941 | 0.9719 | -1.0 | -1.0 | 0.8225 | 0.7047 | 0.8631 | 0.8631 | -1.0 | -1.0 | 0.8631 | 0.822 | 0.8644 | 0.8229 | 0.8618 | | 0.3807 | 52.0 | 4680 | 0.3399 | 0.8078 | 0.9886 | 0.9539 | -1.0 | -1.0 | 0.8078 | 0.6925 | 0.8535 | 0.8535 | -1.0 | -1.0 | 0.8535 | 0.8261 | 0.8722 | 0.7894 | 0.8348 | | 0.3807 | 53.0 | 4770 | 0.3614 | 0.8174 | 0.968 | 0.9492 | -1.0 | 0.0333 | 0.8223 | 0.6938 | 0.855 | 0.855 | -1.0 | 0.1 | 0.8614 | 0.8171 | 0.856 | 0.8177 | 0.8539 | | 0.3807 | 54.0 | 4860 | 0.3446 | 0.8135 | 0.9906 | 0.9588 | -1.0 | 0.0 | 0.816 | 0.6978 | 0.8651 | 0.8651 | -1.0 | 0.0 | 0.8671 | 0.8183 | 0.8639 | 0.8086 | 0.8663 | | 0.3807 | 55.0 | 4950 | 0.3518 | 0.8203 | 0.9867 | 0.9516 | -1.0 | -1.0 | 0.8203 | 0.6975 | 0.8615 | 0.8615 | -1.0 | -1.0 | 0.8615 | 0.8355 | 0.8736 | 0.8051 | 0.8494 | | 0.366 | 56.0 | 5040 | 0.2746 | 0.8359 | 0.9998 | 0.9705 | -1.0 | -1.0 | 0.8359 | 0.7175 | 0.882 | 0.882 | -1.0 | -1.0 | 0.882 | 0.8422 | 0.8875 | 0.8296 | 0.8764 | | 0.366 | 57.0 | 5130 | 0.2882 | 0.8351 | 0.9847 | 0.9698 | -1.0 | 0.0 | 0.8392 | 0.707 | 0.8763 | 0.8763 | -1.0 | 0.0 | 0.8813 | 0.847 | 0.8875 | 0.8232 | 0.8652 | | 0.366 | 58.0 | 5220 | 0.3049 | 0.8414 | 0.9945 | 0.9679 | -1.0 | 0.15 | 0.8426 | 0.7083 | 0.8776 | 0.8776 | -1.0 | 0.3 | 0.879 | 0.8481 | 0.8833 | 0.8348 | 0.8719 | | 0.366 | 59.0 | 5310 | 0.3217 | 0.821 | 0.9892 | 0.9743 | -1.0 | -1.0 | 0.821 | 0.6989 | 0.8643 | 0.8643 | -1.0 | -1.0 | 0.8643 | 0.8278 | 0.8713 | 0.8141 | 0.8573 | | 0.366 | 60.0 | 5400 | 0.2654 | 0.8564 | 0.9996 | 0.9797 | -1.0 | -1.0 | 0.8564 | 0.7286 | 0.8941 | 0.8941 | -1.0 | -1.0 | 0.8941 | 0.8585 | 0.8972 | 0.8544 | 0.891 | | 0.366 | 61.0 | 5490 | 0.2880 | 0.8637 | 0.9998 | 0.9787 | -1.0 | 0.1 | 0.8662 | 0.7285 | 0.9 | 0.9 | -1.0 | 0.1 | 0.9018 | 0.8521 | 0.8898 | 0.8754 | 0.9101 | | 0.3186 | 62.0 | 5580 | 0.2817 | 0.8638 | 0.9955 | 0.9703 | -1.0 | -1.0 | 0.8638 | 0.7322 | 0.9086 | 0.9086 | -1.0 | -1.0 | 0.9086 | 0.8572 | 0.8958 | 0.8704 | 0.9213 | | 0.3186 | 63.0 | 5670 | 0.2560 | 0.868 | 0.9951 | 0.9807 | -1.0 | -1.0 | 0.868 | 0.7366 | 0.9099 | 0.9099 | -1.0 | -1.0 | 0.9099 | 0.8672 | 0.9074 | 0.8688 | 0.9124 | | 0.3186 | 64.0 | 5760 | 0.2785 | 0.8516 | 0.9831 | 0.9709 | -1.0 | 0.0 | 0.8539 | 0.7251 | 0.897 | 0.897 | -1.0 | 0.0 | 0.8991 | 0.854 | 0.894 | 0.8491 | 0.9 | | 0.3186 | 65.0 | 5850 | 0.2623 | 0.8618 | 0.9891 | 0.9501 | -1.0 | -1.0 | 0.8618 | 0.7315 | 0.9035 | 0.9035 | -1.0 | -1.0 | 0.9035 | 0.8642 | 0.9069 | 0.8594 | 0.9 | | 0.3186 | 66.0 | 5940 | 0.2568 | 0.8695 | 0.9895 | 0.9607 | -1.0 | -1.0 | 0.8695 | 0.7368 | 0.9079 | 0.9079 | -1.0 | -1.0 | 0.9079 | 0.8728 | 0.9102 | 0.8663 | 0.9056 | | 0.2959 | 67.0 | 6030 | 0.2528 | 0.8736 | 0.9982 | 0.9643 | -1.0 | -1.0 | 0.8736 | 0.7344 | 0.9082 | 0.9091 | -1.0 | -1.0 | 0.9091 | 0.8793 | 0.9148 | 0.868 | 0.9034 | | 0.2959 | 68.0 | 6120 | 0.2517 | 0.8736 | 0.9983 | 0.976 | -1.0 | -1.0 | 0.8736 | 0.7375 | 0.9102 | 0.9102 | -1.0 | -1.0 | 0.9102 | 0.8713 | 0.9093 | 0.8758 | 0.9112 | | 0.2959 | 69.0 | 6210 | 0.2818 | 0.8636 | 0.992 | 0.9578 | -1.0 | 0.2515 | 0.8717 | 0.7353 | 0.9003 | 0.9003 | -1.0 | 0.25 | 0.9078 | 0.8607 | 0.8972 | 0.8664 | 0.9034 | | 0.2959 | 70.0 | 6300 | 0.2222 | 0.8915 | 0.9998 | 0.98 | -1.0 | -1.0 | 0.8915 | 0.753 | 0.9261 | 0.9261 | -1.0 | -1.0 | 0.9261 | 0.8826 | 0.9208 | 0.9004 | 0.9315 | | 0.2959 | 71.0 | 6390 | 0.2597 | 0.8699 | 0.9868 | 0.9517 | 0.0 | 0.25 | 0.8733 | 0.7353 | 0.9094 | 0.9094 | 0.0 | 0.5 | 0.9124 | 0.8745 | 0.9097 | 0.8653 | 0.909 | | 0.2959 | 72.0 | 6480 | 0.2019 | 0.9087 | 0.9992 | 0.9992 | -1.0 | -1.0 | 0.9087 | 0.7603 | 0.9382 | 0.9382 | -1.0 | -1.0 | 0.9382 | 0.9001 | 0.9315 | 0.9172 | 0.9449 | | 0.2565 | 73.0 | 6570 | 0.2035 | 0.8993 | 0.9997 | 0.9927 | -1.0 | -1.0 | 0.8993 | 0.7602 | 0.9331 | 0.9331 | -1.0 | -1.0 | 0.9331 | 0.8908 | 0.9269 | 0.9078 | 0.9393 | | 0.2565 | 74.0 | 6660 | 0.2539 | 0.8807 | 0.9987 | 0.959 | -1.0 | -1.0 | 0.8808 | 0.7367 | 0.9145 | 0.9145 | -1.0 | -1.0 | 0.9145 | 0.8803 | 0.9144 | 0.8812 | 0.9146 | | 0.2565 | 75.0 | 6750 | 0.1972 | 0.8966 | 1.0 | 0.9729 | -1.0 | -1.0 | 0.8966 | 0.7539 | 0.9299 | 0.9299 | -1.0 | -1.0 | 0.9299 | 0.9008 | 0.9306 | 0.8925 | 0.9292 | | 0.2565 | 76.0 | 6840 | 0.2068 | 0.9105 | 0.9995 | 0.9936 | -1.0 | -1.0 | 0.9105 | 0.7648 | 0.9411 | 0.9411 | -1.0 | -1.0 | 0.9411 | 0.9042 | 0.9361 | 0.9169 | 0.9461 | | 0.2565 | 77.0 | 6930 | 0.2286 | 0.8966 | 0.9996 | 0.964 | -1.0 | -1.0 | 0.8966 | 0.7543 | 0.9271 | 0.9271 | -1.0 | -1.0 | 0.9271 | 0.8868 | 0.9227 | 0.9064 | 0.9315 | | 0.246 | 78.0 | 7020 | 0.2135 | 0.902 | 0.9899 | 0.9561 | -1.0 | 0.0 | 0.9083 | 0.7514 | 0.928 | 0.928 | -1.0 | 0.0 | 0.9332 | 0.901 | 0.9324 | 0.903 | 0.9236 | | 0.246 | 79.0 | 7110 | 0.2176 | 0.9115 | 0.9894 | 0.9795 | -1.0 | 0.0 | 0.9196 | 0.7649 | 0.9424 | 0.9424 | -1.0 | 0.0 | 0.9478 | 0.8957 | 0.9319 | 0.9273 | 0.9528 | | 0.246 | 80.0 | 7200 | 0.1864 | 0.9307 | 1.0 | 0.9827 | -1.0 | -1.0 | 0.9307 | 0.7734 | 0.9528 | 0.9528 | -1.0 | -1.0 | 0.9528 | 0.9082 | 0.937 | 0.9532 | 0.9685 | | 0.246 | 81.0 | 7290 | 0.1990 | 0.9179 | 0.9927 | 0.9802 | -1.0 | 0.0 | 0.9222 | 0.7646 | 0.9468 | 0.9468 | -1.0 | 0.0 | 0.9511 | 0.897 | 0.9329 | 0.9389 | 0.9607 | | 0.246 | 82.0 | 7380 | 0.1954 | 0.9117 | 0.9882 | 0.9734 | -1.0 | 0.0375 | 0.9212 | 0.7632 | 0.943 | 0.943 | -1.0 | 0.15 | 0.9489 | 0.8915 | 0.931 | 0.932 | 0.9551 | | 0.246 | 83.0 | 7470 | 0.1765 | 0.9221 | 0.9979 | 0.9831 | -1.0 | -1.0 | 0.9221 | 0.7683 | 0.9483 | 0.9486 | -1.0 | -1.0 | 0.9486 | 0.9169 | 0.9477 | 0.9272 | 0.9494 | | 0.2126 | 84.0 | 7560 | 0.2004 | 0.9092 | 0.995 | 0.9729 | -1.0 | 0.0 | 0.9131 | 0.7576 | 0.9378 | 0.9378 | -1.0 | 0.0 | 0.9399 | 0.9078 | 0.9384 | 0.9106 | 0.9371 | | 0.2126 | 85.0 | 7650 | 0.1721 | 0.9352 | 0.9963 | 0.9864 | -1.0 | -1.0 | 0.9352 | 0.7757 | 0.959 | 0.959 | -1.0 | -1.0 | 0.959 | 0.9229 | 0.9486 | 0.9475 | 0.9693 | | 0.2126 | 86.0 | 7740 | 0.1835 | 0.9187 | 0.9994 | 0.9699 | -1.0 | -1.0 | 0.9187 | 0.7621 | 0.9452 | 0.9452 | -1.0 | -1.0 | 0.9452 | 0.9072 | 0.9398 | 0.9303 | 0.9506 | | 0.2126 | 87.0 | 7830 | 0.1892 | 0.9232 | 0.9947 | 0.9738 | -1.0 | 0.0 | 0.9257 | 0.7726 | 0.9483 | 0.9483 | -1.0 | 0.0 | 0.9505 | 0.9071 | 0.937 | 0.9393 | 0.9596 | | 0.2126 | 88.0 | 7920 | 0.1753 | 0.9186 | 0.9901 | 0.9851 | -1.0 | -1.0 | 0.9186 | 0.7667 | 0.9482 | 0.9482 | -1.0 | -1.0 | 0.9482 | 0.912 | 0.9435 | 0.9253 | 0.9528 | | 0.2316 | 89.0 | 8010 | 0.1709 | 0.9268 | 0.9998 | 0.9793 | -1.0 | -1.0 | 0.9268 | 0.7707 | 0.9528 | 0.9528 | -1.0 | -1.0 | 0.9528 | 0.916 | 0.9472 | 0.9375 | 0.9584 | | 0.2316 | 90.0 | 8100 | 0.1818 | 0.9206 | 0.9987 | 0.9694 | -1.0 | -1.0 | 0.9206 | 0.7615 | 0.9446 | 0.9446 | -1.0 | -1.0 | 0.9446 | 0.9197 | 0.9477 | 0.9215 | 0.9416 | | 0.2316 | 91.0 | 8190 | 0.1847 | 0.9161 | 0.9845 | 0.9737 | -1.0 | 0.0 | 0.923 | 0.7618 | 0.9413 | 0.9413 | -1.0 | 0.0 | 0.9488 | 0.9123 | 0.9398 | 0.9198 | 0.9427 | | 0.2316 | 92.0 | 8280 | 0.1540 | 0.9446 | 0.9992 | 0.9971 | -1.0 | -1.0 | 0.9446 | 0.7812 | 0.9623 | 0.9623 | -1.0 | -1.0 | 0.9623 | 0.9377 | 0.9583 | 0.9516 | 0.9663 | | 0.2316 | 93.0 | 8370 | 0.1645 | 0.9343 | 0.9995 | 0.9739 | -1.0 | -1.0 | 0.9343 | 0.7773 | 0.9571 | 0.9571 | -1.0 | -1.0 | 0.9571 | 0.9146 | 0.9444 | 0.954 | 0.9697 | | 0.2316 | 94.0 | 8460 | 0.1992 | 0.9212 | 0.9881 | 0.962 | -1.0 | 0.6 | 0.9231 | 0.7686 | 0.9473 | 0.9473 | -1.0 | 0.6 | 0.9493 | 0.9004 | 0.9316 | 0.9419 | 0.9629 | | 0.2112 | 95.0 | 8550 | 0.1736 | 0.9206 | 0.9858 | 0.9745 | -1.0 | 0.0112 | 0.9319 | 0.7639 | 0.9449 | 0.9449 | -1.0 | 0.1 | 0.9545 | 0.9246 | 0.9505 | 0.9165 | 0.9393 | | 0.2112 | 96.0 | 8640 | 0.1558 | 0.9318 | 0.9997 | 0.9793 | -1.0 | -1.0 | 0.9318 | 0.7795 | 0.9571 | 0.9571 | -1.0 | -1.0 | 0.9571 | 0.9191 | 0.9491 | 0.9445 | 0.9652 | | 0.2112 | 97.0 | 8730 | 0.1535 | 0.9296 | 0.9901 | 0.976 | -1.0 | 0.05 | 0.9398 | 0.7746 | 0.9573 | 0.9573 | -1.0 | 0.05 | 0.9647 | 0.9253 | 0.9528 | 0.9339 | 0.9618 | | 0.2112 | 98.0 | 8820 | 0.2102 | 0.9071 | 0.9828 | 0.9617 | 0.0 | 0.0 | 0.9146 | 0.7557 | 0.9351 | 0.9351 | 0.0 | 0.0 | 0.9426 | 0.9034 | 0.9332 | 0.9107 | 0.9371 | | 0.2112 | 99.0 | 8910 | 0.1861 | 0.9205 | 0.9969 | 0.9626 | -1.0 | -1.0 | 0.9205 | 0.7618 | 0.943 | 0.943 | -1.0 | -1.0 | 0.943 | 0.9134 | 0.9421 | 0.9275 | 0.9438 | | 0.2125 | 100.0 | 9000 | 0.1520 | 0.9392 | 0.9998 | 0.9948 | -1.0 | -1.0 | 0.9392 | 0.7807 | 0.9616 | 0.9616 | -1.0 | -1.0 | 0.9616 | 0.9236 | 0.9523 | 0.9547 | 0.9708 | ### Framework versions - Transformers 4.42.3 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1