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dpo_t5_3

This model is a fine-tuned version of zera09/long_t5_4 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3279
  • Rewards/chosen: 0.4243
  • Rewards/rejected: -1.0110
  • Rewards/accuracies: 0.8625
  • Rewards/margins: 1.4353
  • Logps/rejected: -7.0019
  • Logps/chosen: -25.3685
  • Logits/rejected: -18.2655
  • Logits/chosen: -17.9202

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-07
  • train_batch_size: 8
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.8579 0.05 10 0.6748 0.0198 -0.0177 0.8469 0.0375 -5.3464 -26.0427 -18.9879 -18.5345
0.7446 0.1 20 0.6573 0.0382 -0.0362 0.8500 0.0745 -5.3773 -26.0120 -18.9693 -18.5188
0.7655 0.15 30 0.6406 0.0560 -0.0553 0.8506 0.1113 -5.4091 -25.9824 -18.9500 -18.5025
0.7752 0.2 40 0.6255 0.0722 -0.0736 0.8512 0.1458 -5.4396 -25.9553 -18.9314 -18.4868
0.7797 0.25 50 0.6113 0.0878 -0.0916 0.8506 0.1794 -5.4696 -25.9294 -18.9138 -18.4718
0.7109 0.3 60 0.5975 0.1034 -0.1102 0.8519 0.2136 -5.5006 -25.9034 -18.8960 -18.4569
0.6863 0.35 70 0.5845 0.1186 -0.1282 0.8512 0.2468 -5.5307 -25.8781 -18.8798 -18.4433
0.6736 0.4 80 0.5720 0.1328 -0.1470 0.8519 0.2798 -5.5619 -25.8544 -18.8631 -18.4291
0.6564 0.45 90 0.5601 0.1467 -0.1658 0.8519 0.3125 -5.5933 -25.8312 -18.8455 -18.4141
0.705 0.5 100 0.5490 0.1599 -0.1843 0.8519 0.3442 -5.6241 -25.8092 -18.8285 -18.3996
0.6871 0.55 110 0.5380 0.1726 -0.2041 0.8531 0.3768 -5.6572 -25.7880 -18.8116 -18.3852
0.7134 0.6 120 0.5275 0.1850 -0.2241 0.8550 0.4091 -5.6905 -25.7674 -18.7943 -18.3706
0.6389 0.65 130 0.5179 0.1966 -0.2433 0.8562 0.4399 -5.7224 -25.7480 -18.7777 -18.3565
0.6128 0.7 140 0.5087 0.2081 -0.2619 0.8569 0.4699 -5.7534 -25.7289 -18.7619 -18.3430
0.6281 0.75 150 0.4996 0.2197 -0.2817 0.8569 0.5014 -5.7865 -25.7096 -18.7467 -18.3302
0.6216 0.8 160 0.4910 0.2300 -0.3019 0.8569 0.5319 -5.8201 -25.6924 -18.7314 -18.3175
0.6002 0.85 170 0.4828 0.2403 -0.3216 0.8575 0.5619 -5.8529 -25.6752 -18.7166 -18.3049
0.5649 0.9 180 0.4752 0.2501 -0.3406 0.8575 0.5908 -5.8847 -25.6588 -18.7023 -18.2929
0.5695 0.95 190 0.4680 0.2594 -0.3595 0.8575 0.6189 -5.9162 -25.6434 -18.6874 -18.2802
0.5675 1.0 200 0.4611 0.2678 -0.3786 0.8575 0.6464 -5.9479 -25.6293 -18.6724 -18.2674
0.5146 1.05 210 0.4544 0.2762 -0.3980 0.8575 0.6742 -5.9802 -25.6154 -18.6581 -18.2553
0.558 1.1 220 0.4482 0.2841 -0.4168 0.8581 0.7009 -6.0116 -25.6021 -18.6442 -18.2437
0.598 1.15 230 0.4420 0.2923 -0.4358 0.8581 0.7282 -6.0433 -25.5885 -18.6301 -18.2318
0.5918 1.2 240 0.4360 0.3001 -0.4552 0.8581 0.7553 -6.0755 -25.5755 -18.6160 -18.2198
0.5576 1.25 250 0.4307 0.3064 -0.4737 0.8587 0.7802 -6.1065 -25.5650 -18.6033 -18.2090
0.5702 1.3 260 0.4257 0.3125 -0.4916 0.8587 0.8041 -6.1363 -25.5549 -18.5910 -18.1985
0.5132 1.35 270 0.4209 0.3185 -0.5090 0.8581 0.8275 -6.1652 -25.5449 -18.5784 -18.1877
0.5752 1.4 280 0.4164 0.3240 -0.5260 0.8594 0.8500 -6.1936 -25.5357 -18.5661 -18.1772
0.5374 1.45 290 0.4123 0.3290 -0.5419 0.8587 0.8709 -6.2202 -25.5274 -18.5551 -18.1678
0.49 1.5 300 0.4082 0.3343 -0.5579 0.8594 0.8922 -6.2468 -25.5185 -18.5447 -18.1590
0.5269 1.55 310 0.4040 0.3398 -0.5748 0.8594 0.9146 -6.2749 -25.5094 -18.5337 -18.1497
0.4636 1.6 320 0.4001 0.3447 -0.5910 0.8600 0.9357 -6.3020 -25.5012 -18.5220 -18.1396
0.4493 1.65 330 0.3963 0.3492 -0.6073 0.8594 0.9565 -6.3291 -25.4937 -18.5108 -18.1300
0.5583 1.7 340 0.3928 0.3535 -0.6228 0.8594 0.9763 -6.3550 -25.4865 -18.5004 -18.1211
0.5091 1.75 350 0.3895 0.3577 -0.6377 0.8594 0.9953 -6.3798 -25.4796 -18.4904 -18.1124
0.484 1.8 360 0.3864 0.3613 -0.6521 0.8600 1.0134 -6.4038 -25.4735 -18.4815 -18.1048
0.434 1.85 370 0.3834 0.3650 -0.6665 0.8600 1.0315 -6.4278 -25.4674 -18.4729 -18.0974
0.5252 1.9 380 0.3805 0.3687 -0.6809 0.8600 1.0496 -6.4518 -25.4612 -18.4636 -18.0894
0.5021 1.95 390 0.3778 0.3722 -0.6940 0.8606 1.0662 -6.4736 -25.4554 -18.4550 -18.0821
0.5079 2.0 400 0.3752 0.3754 -0.7071 0.8606 1.0825 -6.4954 -25.4500 -18.4466 -18.0749
0.4553 2.05 410 0.3725 0.3788 -0.7208 0.8606 1.0996 -6.5184 -25.4445 -18.4376 -18.0672
0.4719 2.1 420 0.3700 0.3814 -0.7348 0.8606 1.1162 -6.5417 -25.4401 -18.4293 -18.0602
0.4917 2.15 430 0.3676 0.3839 -0.7481 0.8612 1.1321 -6.5638 -25.4358 -18.4212 -18.0532
0.4459 2.2 440 0.3653 0.3862 -0.7614 0.8612 1.1477 -6.5860 -25.4320 -18.4130 -18.0462
0.4596 2.25 450 0.3631 0.3888 -0.7744 0.8612 1.1631 -6.6075 -25.4278 -18.4050 -18.0393
0.4018 2.3 460 0.3610 0.3913 -0.7862 0.8619 1.1775 -6.6274 -25.4236 -18.3975 -18.0328
0.4105 2.35 470 0.3589 0.3936 -0.7986 0.8619 1.1921 -6.6479 -25.4198 -18.3902 -18.0267
0.4227 2.4 480 0.3571 0.3956 -0.8097 0.8619 1.2053 -6.6664 -25.4164 -18.3839 -18.0214
0.4584 2.45 490 0.3553 0.3975 -0.8205 0.8625 1.2180 -6.6844 -25.4132 -18.3780 -18.0165
0.4309 2.5 500 0.3537 0.3995 -0.8299 0.8619 1.2295 -6.7002 -25.4098 -18.3728 -18.0121
0.4185 2.55 510 0.3522 0.4015 -0.8390 0.8625 1.2405 -6.7153 -25.4066 -18.3675 -18.0077
0.4103 2.6 520 0.3508 0.4033 -0.8480 0.8625 1.2512 -6.7303 -25.4036 -18.3622 -18.0031
0.4511 2.65 530 0.3493 0.4047 -0.8570 0.8625 1.2618 -6.7454 -25.4012 -18.3565 -17.9982
0.4111 2.7 540 0.3479 0.4061 -0.8666 0.8625 1.2728 -6.7613 -25.3988 -18.3507 -17.9932
0.4192 2.75 550 0.3465 0.4074 -0.8763 0.8619 1.2837 -6.7774 -25.3967 -18.3451 -17.9885
0.4278 2.8 560 0.3452 0.4087 -0.8848 0.8619 1.2935 -6.7916 -25.3945 -18.3397 -17.9838
0.4001 2.85 570 0.3439 0.4102 -0.8927 0.8619 1.3028 -6.8048 -25.3921 -18.3345 -17.9793
0.4006 2.9 580 0.3428 0.4112 -0.9007 0.8619 1.3119 -6.8181 -25.3903 -18.3294 -17.9749
0.3664 2.95 590 0.3417 0.4124 -0.9084 0.8619 1.3208 -6.8309 -25.3884 -18.3246 -17.9707
0.4518 3.0 600 0.3406 0.4133 -0.9159 0.8619 1.3292 -6.8435 -25.3869 -18.3200 -17.9668
0.3931 3.05 610 0.3396 0.4140 -0.9233 0.8619 1.3374 -6.8558 -25.3856 -18.3157 -17.9631
0.3842 3.1 620 0.3386 0.4148 -0.9300 0.8619 1.3448 -6.8670 -25.3844 -18.3116 -17.9596
0.3876 3.15 630 0.3378 0.4155 -0.9363 0.8612 1.3519 -6.8775 -25.3832 -18.3081 -17.9566
0.4318 3.2 640 0.3369 0.4163 -0.9423 0.8612 1.3586 -6.8875 -25.3819 -18.3046 -17.9536
0.4309 3.25 650 0.3362 0.4169 -0.9481 0.8612 1.3650 -6.8971 -25.3808 -18.3015 -17.9509
0.3602 3.3 660 0.3354 0.4176 -0.9537 0.8619 1.3712 -6.9064 -25.3798 -18.2985 -17.9484
0.4113 3.35 670 0.3347 0.4182 -0.9590 0.8619 1.3771 -6.9152 -25.3788 -18.2955 -17.9459
0.3874 3.4 680 0.3340 0.4187 -0.9641 0.8612 1.3828 -6.9237 -25.3778 -18.2924 -17.9431
0.4358 3.45 690 0.3334 0.4192 -0.9686 0.8619 1.3878 -6.9312 -25.3770 -18.2897 -17.9408
0.4318 3.5 700 0.3329 0.4197 -0.9725 0.8625 1.3923 -6.9379 -25.3762 -18.2873 -17.9388
0.3959 3.55 710 0.3324 0.4203 -0.9764 0.8625 1.3967 -6.9442 -25.3752 -18.2849 -17.9367
0.4003 3.6 720 0.3319 0.4208 -0.9802 0.8625 1.4011 -6.9507 -25.3744 -18.2827 -17.9348
0.4106 3.65 730 0.3314 0.4212 -0.9837 0.8625 1.4050 -6.9565 -25.3737 -18.2807 -17.9331
0.3852 3.7 740 0.3310 0.4216 -0.9868 0.8625 1.4084 -6.9617 -25.3731 -18.2790 -17.9317
0.4174 3.75 750 0.3306 0.4218 -0.9898 0.8625 1.4116 -6.9665 -25.3727 -18.2774 -17.9303
0.4188 3.8 760 0.3303 0.4221 -0.9922 0.8631 1.4144 -6.9707 -25.3722 -18.2760 -17.9291
0.39 3.85 770 0.3300 0.4224 -0.9946 0.8631 1.4170 -6.9746 -25.3717 -18.2745 -17.9278
0.3884 3.9 780 0.3297 0.4228 -0.9969 0.8631 1.4197 -6.9785 -25.3711 -18.2732 -17.9267
0.4019 3.95 790 0.3294 0.4230 -0.9991 0.8631 1.4221 -6.9821 -25.3707 -18.2720 -17.9257
0.3742 4.0 800 0.3292 0.4232 -1.0009 0.8631 1.4241 -6.9852 -25.3704 -18.2709 -17.9248
0.4229 4.05 810 0.3289 0.4234 -1.0026 0.8631 1.4259 -6.9879 -25.3701 -18.2701 -17.9240
0.4327 4.1 820 0.3288 0.4235 -1.0040 0.8631 1.4275 -6.9902 -25.3699 -18.2693 -17.9234
0.4086 4.15 830 0.3286 0.4237 -1.0052 0.8631 1.4289 -6.9923 -25.3696 -18.2687 -17.9228
0.3724 4.2 840 0.3285 0.4238 -1.0063 0.8631 1.4301 -6.9941 -25.3694 -18.2680 -17.9223
0.4155 4.25 850 0.3283 0.4239 -1.0072 0.8631 1.4311 -6.9957 -25.3692 -18.2675 -17.9219
0.378 4.3 860 0.3282 0.4240 -1.0081 0.8631 1.4321 -6.9972 -25.3691 -18.2670 -17.9214
0.3837 4.35 870 0.3281 0.4240 -1.0089 0.8631 1.4329 -6.9984 -25.3690 -18.2667 -17.9211
0.3666 4.4 880 0.3281 0.4241 -1.0094 0.8631 1.4335 -6.9992 -25.3689 -18.2664 -17.9209
0.3775 4.45 890 0.3280 0.4242 -1.0098 0.8625 1.4340 -6.9999 -25.3688 -18.2662 -17.9207
0.401 4.5 900 0.3280 0.4242 -1.0101 0.8631 1.4343 -7.0004 -25.3687 -18.2660 -17.9206
0.3887 4.55 910 0.3279 0.4243 -1.0104 0.8631 1.4346 -7.0009 -25.3686 -18.2659 -17.9205
0.4123 4.6 920 0.3279 0.4243 -1.0106 0.8625 1.4349 -7.0013 -25.3686 -18.2657 -17.9204
0.415 4.65 930 0.3279 0.4243 -1.0108 0.8625 1.4351 -7.0016 -25.3686 -18.2657 -17.9203
0.4636 4.7 940 0.3279 0.4243 -1.0109 0.8625 1.4352 -7.0017 -25.3685 -18.2656 -17.9202
0.3967 4.75 950 0.3279 0.4243 -1.0109 0.8625 1.4353 -7.0019 -25.3685 -18.2656 -17.9202
0.3853 4.8 960 0.3279 0.4243 -1.0110 0.8625 1.4353 -7.0019 -25.3685 -18.2655 -17.9202
0.3831 4.85 970 0.3279 0.4243 -1.0110 0.8625 1.4353 -7.0019 -25.3685 -18.2655 -17.9202
0.3945 4.9 980 0.3279 0.4243 -1.0110 0.8625 1.4353 -7.0019 -25.3685 -18.2655 -17.9202
0.3882 4.95 990 0.3279 0.4243 -1.0110 0.8625 1.4353 -7.0019 -25.3685 -18.2655 -17.9202
0.4374 5.0 1000 0.3279 0.4243 -1.0110 0.8625 1.4353 -7.0019 -25.3685 -18.2655 -17.9202

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.2.1
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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