ARC-Challenge_Llama-3.2-1B-kxmkyfib

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 8.6704
  • Model Preparation Time: 0.0058
  • Mdl: 3740.1267
  • Accumulated Loss: 2592.4583
  • Correct Preds: 110.0
  • Total Preds: 299.0
  • Accuracy: 0.3679
  • Correct Gen Preds: 105.0
  • Gen Accuracy: 0.3512
  • Correct Gen Preds 32: 4.0
  • Correct Preds 32: 5.0
  • Total Labels 32: 64.0
  • Accuracy 32: 0.0781
  • Gen Accuracy 32: 0.0625
  • Correct Gen Preds 33: 18.0
  • Correct Preds 33: 19.0
  • Total Labels 33: 73.0
  • Accuracy 33: 0.2603
  • Gen Accuracy 33: 0.2466
  • Correct Gen Preds 34: 61.0
  • Correct Preds 34: 61.0
  • Total Labels 34: 78.0
  • Accuracy 34: 0.7821
  • Gen Accuracy 34: 0.7821
  • Correct Gen Preds 35: 21.0
  • Correct Preds 35: 24.0
  • Total Labels 35: 83.0
  • Accuracy 35: 0.2892
  • Gen Accuracy 35: 0.2530
  • Correct Gen Preds 36: 1.0
  • Correct Preds 36: 1.0
  • Total Labels 36: 1.0
  • Accuracy 36: 1.0
  • Gen Accuracy 36: 1.0

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: 2e-05
  • train_batch_size: 64
  • eval_batch_size: 112
  • 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: cosine
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Model Preparation Time Mdl Accumulated Loss Correct Preds Total Preds Accuracy Correct Gen Preds Gen Accuracy Correct Gen Preds 32 Correct Preds 32 Total Labels 32 Accuracy 32 Gen Accuracy 32 Correct Gen Preds 33 Correct Preds 33 Total Labels 33 Accuracy 33 Gen Accuracy 33 Correct Gen Preds 34 Correct Preds 34 Total Labels 34 Accuracy 34 Gen Accuracy 34 Correct Gen Preds 35 Correct Preds 35 Total Labels 35 Accuracy 35 Gen Accuracy 35 Correct Gen Preds 36 Correct Preds 36 Total Labels 36 Accuracy 36 Gen Accuracy 36
No log 0 0 1.6389 0.0058 706.9523 490.0220 66.0 299.0 0.2207 66.0 0.2207 62.0 62.0 64.0 0.9688 0.9688 0.0 0.0 73.0 0.0 0.0 4.0 4.0 78.0 0.0513 0.0513 0.0 0.0 83.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0
1.6477 1.0 1 1.6389 0.0058 706.9523 490.0220 66.0 299.0 0.2207 66.0 0.2207 62.0 62.0 64.0 0.9688 0.9688 0.0 0.0 73.0 0.0 0.0 4.0 4.0 78.0 0.0513 0.0513 0.0 0.0 83.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0
1.6477 2.0 2 2.0454 0.0058 882.3094 611.5703 76.0 299.0 0.2542 76.0 0.2542 0.0 0.0 64.0 0.0 0.0 72.0 72.0 73.0 0.9863 0.9863 4.0 4.0 78.0 0.0513 0.0513 0.0 0.0 83.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0
2.0979 3.0 3 1.3844 0.0058 597.1828 413.9355 87.0 299.0 0.2910 87.0 0.2910 0.0 0.0 64.0 0.0 0.0 60.0 60.0 73.0 0.8219 0.8219 0.0 0.0 78.0 0.0 0.0 27.0 27.0 83.0 0.3253 0.3253 0.0 0.0 1.0 0.0 0.0
1.3205 4.0 4 1.8474 0.0058 796.8976 552.3673 64.0 299.0 0.2140 64.0 0.2140 64.0 64.0 64.0 1.0 1.0 0.0 0.0 73.0 0.0 0.0 0.0 0.0 78.0 0.0 0.0 0.0 0.0 83.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0
1.2752 5.0 5 1.5099 0.0058 651.3276 451.4659 78.0 299.0 0.2609 78.0 0.2609 47.0 47.0 64.0 0.7344 0.7344 7.0 7.0 73.0 0.0959 0.0959 21.0 21.0 78.0 0.2692 0.2692 3.0 3.0 83.0 0.0361 0.0361 0.0 0.0 1.0 0.0 0.0
0.8745 6.0 6 1.9551 0.0058 843.3534 584.5680 75.0 299.0 0.2508 58.0 0.1940 24.0 35.0 64.0 0.5469 0.375 10.0 15.0 73.0 0.2055 0.1370 8.0 8.0 78.0 0.1026 0.1026 16.0 17.0 83.0 0.2048 0.1928 0.0 0.0 1.0 0.0 0.0
0.3891 7.0 7 2.2535 0.0058 972.0730 673.7897 81.0 299.0 0.2709 48.0 0.1605 2.0 12.0 64.0 0.1875 0.0312 20.0 33.0 73.0 0.4521 0.2740 13.0 18.0 78.0 0.2308 0.1667 13.0 18.0 83.0 0.2169 0.1566 0.0 0.0 1.0 0.0 0.0
0.0723 8.0 8 3.3987 0.0058 1466.0698 1016.2021 88.0 299.0 0.2943 37.0 0.1237 3.0 22.0 64.0 0.3438 0.0469 7.0 16.0 73.0 0.2192 0.0959 17.0 33.0 78.0 0.4231 0.2179 10.0 17.0 83.0 0.2048 0.1205 0.0 0.0 1.0 0.0 0.0
0.0151 9.0 9 4.3882 0.0058 1892.9204 1312.0724 106.0 299.0 0.3545 51.0 0.1706 2.0 11.0 64.0 0.1719 0.0312 7.0 21.0 73.0 0.2877 0.0959 29.0 47.0 78.0 0.6026 0.3718 13.0 27.0 83.0 0.3253 0.1566 0.0 0.0 1.0 0.0 0.0
0.0005 10.0 10 5.3274 0.0058 2298.0553 1592.8905 105.0 299.0 0.3512 78.0 0.2609 3.0 9.0 64.0 0.1406 0.0469 14.0 21.0 73.0 0.2877 0.1918 45.0 50.0 78.0 0.6410 0.5769 16.0 24.0 83.0 0.2892 0.1928 0.0 1.0 1.0 1.0 0.0
0.0 11.0 11 6.1034 0.0058 2632.8159 1824.9289 106.0 299.0 0.3545 91.0 0.3043 3.0 7.0 64.0 0.1094 0.0469 19.0 22.0 73.0 0.3014 0.2603 51.0 52.0 78.0 0.6667 0.6538 17.0 24.0 83.0 0.2892 0.2048 1.0 1.0 1.0 1.0 1.0
0.0 12.0 12 6.7276 0.0058 2902.0719 2011.5630 107.0 299.0 0.3579 94.0 0.3144 2.0 7.0 64.0 0.1094 0.0312 18.0 20.0 73.0 0.2740 0.2466 54.0 55.0 78.0 0.7051 0.6923 19.0 24.0 83.0 0.2892 0.2289 1.0 1.0 1.0 1.0 1.0
0.0 13.0 13 7.1073 0.0058 3065.8497 2125.0851 107.0 299.0 0.3579 99.0 0.3311 2.0 4.0 64.0 0.0625 0.0312 19.0 22.0 73.0 0.3014 0.2603 56.0 56.0 78.0 0.7179 0.7179 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 14.0 14 7.4064 0.0058 3194.8512 2214.5021 106.0 299.0 0.3545 97.0 0.3244 3.0 4.0 64.0 0.0625 0.0469 17.0 20.0 73.0 0.2740 0.2329 55.0 56.0 78.0 0.7179 0.7051 21.0 25.0 83.0 0.3012 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 15.0 15 7.6826 0.0058 3314.0289 2297.1098 106.0 299.0 0.3545 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 56.0 56.0 78.0 0.7179 0.7179 21.0 25.0 83.0 0.3012 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 16.0 16 7.8656 0.0058 3392.9475 2351.8120 101.0 299.0 0.3378 94.0 0.3144 2.0 4.0 64.0 0.0625 0.0312 15.0 16.0 73.0 0.2192 0.2055 56.0 56.0 78.0 0.7179 0.7179 20.0 24.0 83.0 0.2892 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 17.0 17 8.0201 0.0058 3459.6157 2398.0229 101.0 299.0 0.3378 95.0 0.3177 2.0 3.0 64.0 0.0469 0.0312 16.0 17.0 73.0 0.2329 0.2192 56.0 56.0 78.0 0.7179 0.7179 20.0 24.0 83.0 0.2892 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 18.0 18 8.1050 0.0058 3496.2268 2423.3998 106.0 299.0 0.3545 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 56.0 56.0 78.0 0.7179 0.7179 22.0 26.0 83.0 0.3133 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 19.0 19 8.2369 0.0058 3553.1220 2462.8365 103.0 299.0 0.3445 97.0 0.3244 3.0 4.0 64.0 0.0625 0.0469 16.0 17.0 73.0 0.2329 0.2192 56.0 56.0 78.0 0.7179 0.7179 21.0 25.0 83.0 0.3012 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 20.0 20 8.3117 0.0058 3585.3793 2485.1956 103.0 299.0 0.3445 97.0 0.3244 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 55.0 55.0 78.0 0.7051 0.7051 20.0 24.0 83.0 0.2892 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 21.0 21 8.3686 0.0058 3609.9493 2502.2262 104.0 299.0 0.3478 98.0 0.3278 3.0 4.0 64.0 0.0625 0.0469 16.0 17.0 73.0 0.2329 0.2192 57.0 57.0 78.0 0.7308 0.7308 21.0 25.0 83.0 0.3012 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 22.0 22 8.4223 0.0058 3633.1012 2518.2739 107.0 299.0 0.3579 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 16.0 17.0 73.0 0.2329 0.2192 58.0 58.0 78.0 0.7436 0.7436 23.0 26.0 83.0 0.3133 0.2771 1.0 1.0 1.0 1.0 1.0
0.0 23.0 23 8.4732 0.0058 3655.0572 2533.4926 105.0 299.0 0.3512 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 16.0 17.0 73.0 0.2329 0.2192 57.0 57.0 78.0 0.7308 0.7308 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 24.0 24 8.5141 0.0058 3672.7066 2545.7263 105.0 299.0 0.3512 101.0 0.3378 3.0 4.0 64.0 0.0625 0.0469 16.0 17.0 73.0 0.2329 0.2192 59.0 59.0 78.0 0.7564 0.7564 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 25.0 25 8.5522 0.0058 3689.1067 2557.0939 106.0 299.0 0.3545 102.0 0.3411 3.0 4.0 64.0 0.0625 0.0469 18.0 19.0 73.0 0.2603 0.2466 57.0 57.0 78.0 0.7308 0.7308 23.0 25.0 83.0 0.3012 0.2771 1.0 1.0 1.0 1.0 1.0
0.0 26.0 26 8.5757 0.0058 3699.2461 2564.1220 107.0 299.0 0.3579 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 27.0 27 8.5743 0.0058 3698.6687 2563.7218 109.0 299.0 0.3645 104.0 0.3478 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 60.0 60.0 78.0 0.7692 0.7692 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 28.0 28 8.5966 0.0058 3708.2991 2570.3970 107.0 299.0 0.3579 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 29.0 29 8.6279 0.0058 3721.7709 2579.7350 107.0 299.0 0.3579 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 30.0 30 8.6494 0.0058 3731.0587 2586.1728 106.0 299.0 0.3545 101.0 0.3378 3.0 4.0 64.0 0.0625 0.0469 17.0 18.0 73.0 0.2466 0.2329 59.0 59.0 78.0 0.7564 0.7564 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 31.0 31 8.6186 0.0058 3717.7530 2576.9500 109.0 299.0 0.3645 104.0 0.3478 4.0 5.0 64.0 0.0781 0.0625 19.0 20.0 73.0 0.2740 0.2603 58.0 58.0 78.0 0.7436 0.7436 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 32.0 32 8.6690 0.0058 3739.4893 2592.0165 106.0 299.0 0.3545 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 33.0 33 8.6733 0.0058 3741.3665 2593.3176 104.0 299.0 0.3478 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 57.0 57.0 78.0 0.7308 0.7308 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 34.0 34 8.6682 0.0058 3739.1696 2591.7949 107.0 299.0 0.3579 103.0 0.3445 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 59.0 59.0 78.0 0.7564 0.7564 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 35.0 35 8.6618 0.0058 3736.4194 2589.8885 107.0 299.0 0.3579 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 36.0 36 8.6886 0.0058 3747.9652 2597.8915 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 37.0 37 8.7000 0.0058 3752.8641 2601.2872 107.0 299.0 0.3579 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 38.0 38 8.6748 0.0058 3741.9910 2593.7505 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 39.0 39 8.7015 0.0058 3753.5504 2601.7629 106.0 299.0 0.3545 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 40.0 40 8.6790 0.0058 3743.8151 2595.0149 105.0 299.0 0.3512 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 20.0 22.0 83.0 0.2651 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 41.0 41 8.7102 0.0058 3757.2716 2604.3422 103.0 299.0 0.3445 99.0 0.3311 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 57.0 57.0 78.0 0.7308 0.7308 20.0 22.0 83.0 0.2651 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 42.0 42 8.7133 0.0058 3758.6019 2605.2643 104.0 299.0 0.3478 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 57.0 57.0 78.0 0.7308 0.7308 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 43.0 43 8.6911 0.0058 3749.0326 2598.6313 105.0 299.0 0.3512 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 57.0 57.0 78.0 0.7308 0.7308 20.0 23.0 83.0 0.2771 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 44.0 44 8.6606 0.0058 3735.8922 2589.5231 109.0 299.0 0.3645 104.0 0.3478 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 60.0 60.0 78.0 0.7692 0.7692 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 45.0 45 8.6434 0.0058 3728.4639 2584.3742 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 46.0 46 8.6821 0.0058 3745.1805 2595.9613 105.0 299.0 0.3512 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 16.0 17.0 73.0 0.2329 0.2192 58.0 58.0 78.0 0.7436 0.7436 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 47.0 47 8.6892 0.0058 3748.2264 2598.0726 104.0 299.0 0.3478 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 57.0 57.0 78.0 0.7308 0.7308 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 48.0 48 8.6828 0.0058 3745.4845 2596.1720 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 49.0 49 8.6937 0.0058 3750.1558 2599.4099 107.0 299.0 0.3579 103.0 0.3445 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 50.0 50 8.6818 0.0058 3745.0372 2595.8620 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 51.0 51 8.6842 0.0058 3746.0470 2596.5620 107.0 299.0 0.3579 103.0 0.3445 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 52.0 52 8.6852 0.0058 3746.4838 2596.8647 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 53.0 53 8.6656 0.0058 3738.0351 2591.0085 108.0 299.0 0.3612 103.0 0.3445 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 59.0 59.0 78.0 0.7564 0.7564 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 54.0 54 8.6816 0.0058 3744.9258 2595.7848 107.0 299.0 0.3579 103.0 0.3445 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 60.0 60.0 78.0 0.7692 0.7692 20.0 22.0 83.0 0.2651 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 55.0 55 8.6704 0.0058 3740.1267 2592.4583 110.0 299.0 0.3679 105.0 0.3512 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 61.0 61.0 78.0 0.7821 0.7821 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 56.0 56 8.6804 0.0058 3744.4474 2595.4532 106.0 299.0 0.3545 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 57.0 57 8.6920 0.0058 3749.4247 2598.9031 107.0 299.0 0.3579 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 59.0 59.0 78.0 0.7564 0.7564 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 58.0 58 8.6874 0.0058 3747.4329 2597.5225 107.0 299.0 0.3579 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 59.0 59 8.6562 0.0058 3733.9920 2588.2061 105.0 299.0 0.3512 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 20.0 22.0 83.0 0.2651 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 60.0 60 8.6886 0.0058 3747.9552 2597.8846 106.0 299.0 0.3545 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 16.0 17.0 73.0 0.2329 0.2192 59.0 59.0 78.0 0.7564 0.7564 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 61.0 61 8.7271 0.0058 3764.5849 2609.4114 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 62.0 62 8.6558 0.0058 3733.8239 2588.0895 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 57.0 57.0 78.0 0.7308 0.7308 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 63.0 63 8.6914 0.0058 3749.1784 2598.7324 108.0 299.0 0.3612 103.0 0.3445 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 59.0 59.0 78.0 0.7564 0.7564 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 64.0 64 8.7049 0.0058 3755.0161 2602.7788 108.0 299.0 0.3612 104.0 0.3478 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 60.0 60.0 78.0 0.7692 0.7692 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 65.0 65 8.6536 0.0058 3732.8656 2587.4253 109.0 299.0 0.3645 104.0 0.3478 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 59.0 59.0 78.0 0.7564 0.7564 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 66.0 66 8.6849 0.0058 3746.3642 2596.7818 106.0 299.0 0.3545 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 59.0 59.0 78.0 0.7564 0.7564 20.0 23.0 83.0 0.2771 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 67.0 67 8.6528 0.0058 3732.5153 2587.1824 108.0 299.0 0.3612 104.0 0.3478 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 60.0 60.0 78.0 0.7692 0.7692 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 68.0 68 8.7122 0.0058 3758.1449 2604.9476 106.0 299.0 0.3545 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 69.0 69 8.6601 0.0058 3735.6760 2589.3733 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 70.0 70 8.6728 0.0058 3741.1365 2593.1582 105.0 299.0 0.3512 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 71.0 71 8.7202 0.0058 3761.6155 2607.3532 107.0 299.0 0.3579 103.0 0.3445 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 72.0 72 8.6991 0.0058 3752.4760 2601.0182 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 73.0 73 8.6981 0.0058 3752.0639 2600.7325 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 57.0 57.0 78.0 0.7308 0.7308 23.0 25.0 83.0 0.3012 0.2771 1.0 1.0 1.0 1.0 1.0
0.0 74.0 74 8.6779 0.0058 3743.3328 2594.6806 104.0 299.0 0.3478 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 57.0 57.0 78.0 0.7308 0.7308 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 75.0 75 8.6568 0.0058 3734.2335 2588.3734 106.0 299.0 0.3545 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 57.0 57.0 78.0 0.7308 0.7308 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 76.0 76 8.6849 0.0058 3746.3833 2596.7950 107.0 299.0 0.3579 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 25.0 83.0 0.3012 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 77.0 77 8.6833 0.0058 3745.6752 2596.3042 105.0 299.0 0.3512 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 57.0 57.0 78.0 0.7308 0.7308 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 78.0 78 8.6956 0.0058 3750.9657 2599.9713 105.0 299.0 0.3512 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 57.0 57.0 78.0 0.7308 0.7308 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 79.0 79 8.6477 0.0058 3730.3227 2585.6627 107.0 299.0 0.3579 103.0 0.3445 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 80.0 80 8.6663 0.0058 3738.3449 2591.2232 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 58.0 58.0 78.0 0.7436 0.7436 21.0 23.0 83.0 0.2771 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 81.0 81 8.6636 0.0058 3737.1635 2590.4044 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 82.0 82 8.6560 0.0058 3733.9197 2588.1559 106.0 299.0 0.3545 102.0 0.3411 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 22.0 24.0 83.0 0.2892 0.2651 1.0 1.0 1.0 1.0 1.0
0.0 83.0 83 8.6795 0.0058 3744.0509 2595.1783 104.0 299.0 0.3478 100.0 0.3344 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 57.0 57.0 78.0 0.7308 0.7308 20.0 22.0 83.0 0.2651 0.2410 1.0 1.0 1.0 1.0 1.0
0.0 84.0 84 8.6959 0.0058 3751.1303 2600.0854 106.0 299.0 0.3545 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 17.0 18.0 73.0 0.2466 0.2329 58.0 58.0 78.0 0.7436 0.7436 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0
0.0 85.0 85 8.7419 0.0058 3770.9696 2613.8369 106.0 299.0 0.3545 101.0 0.3378 4.0 5.0 64.0 0.0781 0.0625 18.0 19.0 73.0 0.2603 0.2466 57.0 57.0 78.0 0.7308 0.7308 21.0 24.0 83.0 0.2892 0.2530 1.0 1.0 1.0 1.0 1.0

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1
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