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100M_high_500_1208

Text Generation
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Safetensors
gpt2
Generated from Trainer
text-generation-inference
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  1. README.md +94 -94
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.3100
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- - Accuracy: 0.3934
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  ## Model description
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@@ -50,98 +50,98 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:-----:|:---------------:|:--------:|
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- | 5.1204 | 0.1076 | 1000 | 5.0505 | 0.2244 |
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- | 4.6002 | 0.2153 | 2000 | 4.5489 | 0.2658 |
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- | 4.3544 | 0.3229 | 3000 | 4.2617 | 0.2957 |
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- | 4.1762 | 0.4305 | 4000 | 4.1123 | 0.3105 |
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- | 4.0782 | 0.5382 | 5000 | 4.0140 | 0.3193 |
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- | 4.0234 | 0.6458 | 6000 | 3.9368 | 0.3262 |
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- | 3.9543 | 0.7534 | 7000 | 3.8812 | 0.3316 |
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- | 3.9221 | 0.8610 | 8000 | 3.8370 | 0.3356 |
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- | 3.8695 | 0.9687 | 9000 | 3.7934 | 0.3398 |
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- | 3.7815 | 1.0763 | 10000 | 3.7667 | 0.3428 |
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- | 3.7618 | 1.1839 | 11000 | 3.7359 | 0.3452 |
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- | 3.7503 | 1.2916 | 12000 | 3.7143 | 0.3474 |
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- | 3.7288 | 1.3992 | 13000 | 3.6918 | 0.3497 |
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- | 3.713 | 1.5068 | 14000 | 3.6697 | 0.3522 |
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- | 3.6831 | 1.6145 | 15000 | 3.6519 | 0.3539 |
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- | 3.6529 | 1.7221 | 16000 | 3.6345 | 0.3558 |
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- | 3.6886 | 1.8297 | 17000 | 3.6173 | 0.3571 |
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- | 3.6471 | 1.9374 | 18000 | 3.6050 | 0.3585 |
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- | 3.563 | 2.0450 | 19000 | 3.5937 | 0.3603 |
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- | 3.5871 | 2.1526 | 20000 | 3.5838 | 0.3614 |
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- | 3.5708 | 2.2603 | 21000 | 3.5733 | 0.3624 |
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- | 3.5728 | 2.3679 | 22000 | 3.5617 | 0.3635 |
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- | 3.5642 | 2.4755 | 23000 | 3.5540 | 0.3646 |
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- | 3.5568 | 2.5831 | 24000 | 3.5416 | 0.3651 |
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- | 3.5709 | 2.6908 | 25000 | 3.5344 | 0.3665 |
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- | 3.5357 | 2.7984 | 26000 | 3.5239 | 0.3672 |
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- | 3.5314 | 2.9060 | 27000 | 3.5166 | 0.3686 |
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- | 3.4514 | 3.0137 | 28000 | 3.5091 | 0.3692 |
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- | 3.4654 | 3.1213 | 29000 | 3.5095 | 0.3697 |
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- | 3.4721 | 3.2289 | 30000 | 3.5005 | 0.3705 |
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- | 3.4544 | 3.3366 | 31000 | 3.4935 | 0.3711 |
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- | 3.4822 | 3.4442 | 32000 | 3.4880 | 0.3718 |
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- | 3.4772 | 3.5518 | 33000 | 3.4817 | 0.3725 |
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- | 3.4723 | 3.6595 | 34000 | 3.4751 | 0.3728 |
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- | 3.4723 | 3.7671 | 35000 | 3.4672 | 0.3736 |
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- | 3.4615 | 3.8747 | 36000 | 3.4612 | 0.3745 |
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- | 3.4467 | 3.9823 | 37000 | 3.4574 | 0.3752 |
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- | 3.3909 | 4.0900 | 38000 | 3.4571 | 0.3755 |
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- | 3.4109 | 4.1976 | 39000 | 3.4531 | 0.3761 |
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- | 3.4031 | 4.3052 | 40000 | 3.4496 | 0.3763 |
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- | 3.4002 | 4.4129 | 41000 | 3.4456 | 0.3767 |
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- | 3.426 | 4.5205 | 42000 | 3.4414 | 0.3773 |
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- | 3.409 | 4.6281 | 43000 | 3.4366 | 0.3777 |
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- | 3.4098 | 4.7358 | 44000 | 3.4294 | 0.3782 |
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- | 3.3977 | 4.8434 | 45000 | 3.4255 | 0.3789 |
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- | 3.4026 | 4.9510 | 46000 | 3.4197 | 0.3794 |
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- | 3.3205 | 5.0587 | 47000 | 3.4221 | 0.3795 |
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- | 3.3492 | 5.1663 | 48000 | 3.4208 | 0.3802 |
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- | 3.3484 | 5.2739 | 49000 | 3.4171 | 0.3802 |
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- | 3.3342 | 5.3816 | 50000 | 3.4140 | 0.3806 |
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- | 3.3437 | 5.4892 | 51000 | 3.4103 | 0.3812 |
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- | 3.3369 | 5.5968 | 52000 | 3.4052 | 0.3813 |
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- | 3.3512 | 5.7044 | 53000 | 3.3988 | 0.3820 |
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- | 3.364 | 5.8121 | 54000 | 3.3932 | 0.3826 |
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- | 3.3438 | 5.9197 | 55000 | 3.3895 | 0.3829 |
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- | 3.2614 | 6.0273 | 56000 | 3.3938 | 0.3831 |
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- | 3.2776 | 6.1350 | 57000 | 3.3919 | 0.3834 |
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- | 3.2682 | 6.2426 | 58000 | 3.3912 | 0.3838 |
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- | 3.2972 | 6.3502 | 59000 | 3.3848 | 0.3843 |
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- | 3.3129 | 6.4579 | 60000 | 3.3827 | 0.3844 |
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- | 3.2923 | 6.5655 | 61000 | 3.3783 | 0.3848 |
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- | 3.2788 | 6.6731 | 62000 | 3.3721 | 0.3853 |
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- | 3.3071 | 6.7808 | 63000 | 3.3685 | 0.3858 |
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- | 3.3125 | 6.8884 | 64000 | 3.3645 | 0.3862 |
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- | 3.3004 | 6.9960 | 65000 | 3.3613 | 0.3865 |
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- | 3.2231 | 7.1036 | 66000 | 3.3666 | 0.3866 |
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- | 3.2488 | 7.2113 | 67000 | 3.3645 | 0.3867 |
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- | 3.2302 | 7.3189 | 68000 | 3.3620 | 0.3872 |
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- | 3.2346 | 7.4265 | 69000 | 3.3569 | 0.3871 |
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- | 3.2267 | 7.5342 | 70000 | 3.3546 | 0.3876 |
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- | 3.245 | 7.6418 | 71000 | 3.3494 | 0.3880 |
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- | 3.2536 | 7.7494 | 72000 | 3.3456 | 0.3886 |
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- | 3.2323 | 7.8571 | 73000 | 3.3427 | 0.3889 |
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- | 3.2743 | 7.9647 | 74000 | 3.3379 | 0.3893 |
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- | 3.1842 | 8.0723 | 75000 | 3.3442 | 0.3891 |
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- | 3.1821 | 8.1800 | 76000 | 3.3417 | 0.3895 |
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- | 3.2079 | 8.2876 | 77000 | 3.3394 | 0.3897 |
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- | 3.1992 | 8.3952 | 78000 | 3.3358 | 0.3901 |
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- | 3.1874 | 8.5029 | 79000 | 3.3352 | 0.3903 |
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- | 3.2098 | 8.6105 | 80000 | 3.3291 | 0.3908 |
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- | 3.2063 | 8.7181 | 81000 | 3.3263 | 0.3914 |
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- | 3.1959 | 8.8257 | 82000 | 3.3235 | 0.3916 |
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- | 3.1864 | 8.9334 | 83000 | 3.3200 | 0.3919 |
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- | 3.1216 | 9.0410 | 84000 | 3.3232 | 0.3919 |
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- | 3.1527 | 9.1486 | 85000 | 3.3207 | 0.3922 |
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- | 3.1524 | 9.2563 | 86000 | 3.3197 | 0.3924 |
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- | 3.1485 | 9.3639 | 87000 | 3.3174 | 0.3926 |
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- | 3.1682 | 9.4715 | 88000 | 3.3141 | 0.3929 |
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- | 3.1359 | 9.5792 | 89000 | 3.3124 | 0.3931 |
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- | 3.1513 | 9.6868 | 90000 | 3.3100 | 0.3934 |
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- | 3.128 | 9.7944 | 91000 | 3.3088 | 0.3936 |
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- | 3.1326 | 9.9021 | 92000 | 3.3069 | 0.3938 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.2980
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+ - Accuracy: 0.3948
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:-----:|:---------------:|:--------:|
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+ | 5.1277 | 0.1078 | 1000 | 5.0407 | 0.2260 |
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+ | 4.5957 | 0.2156 | 2000 | 4.5253 | 0.2685 |
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+ | 4.3061 | 0.3235 | 3000 | 4.2474 | 0.2973 |
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+ | 4.1693 | 0.4313 | 4000 | 4.0990 | 0.3108 |
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+ | 4.0697 | 0.5391 | 5000 | 3.9973 | 0.3211 |
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+ | 3.9953 | 0.6469 | 6000 | 3.9283 | 0.3277 |
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+ | 3.9447 | 0.7547 | 7000 | 3.8673 | 0.3332 |
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+ | 3.8876 | 0.8625 | 8000 | 3.8212 | 0.3378 |
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+ | 3.8466 | 0.9704 | 9000 | 3.7803 | 0.3414 |
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+ | 3.7706 | 1.0782 | 10000 | 3.7493 | 0.3447 |
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+ | 3.7517 | 1.1860 | 11000 | 3.7226 | 0.3472 |
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+ | 3.7398 | 1.2938 | 12000 | 3.6977 | 0.3493 |
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+ | 3.7292 | 1.4016 | 13000 | 3.6761 | 0.3519 |
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+ | 3.6993 | 1.5094 | 14000 | 3.6577 | 0.3540 |
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+ | 3.6871 | 1.6173 | 15000 | 3.6372 | 0.3558 |
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+ | 3.6748 | 1.7251 | 16000 | 3.6176 | 0.3574 |
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+ | 3.6512 | 1.8329 | 17000 | 3.6033 | 0.3592 |
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+ | 3.6505 | 1.9407 | 18000 | 3.5884 | 0.3607 |
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+ | 3.5465 | 2.0485 | 19000 | 3.5790 | 0.3621 |
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+ | 3.5507 | 2.1563 | 20000 | 3.5669 | 0.3634 |
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+ | 3.5606 | 2.2642 | 21000 | 3.5575 | 0.3642 |
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+ | 3.5444 | 2.3720 | 22000 | 3.5483 | 0.3654 |
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+ | 3.5409 | 2.4798 | 23000 | 3.5393 | 0.3663 |
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+ | 3.5603 | 2.5876 | 24000 | 3.5278 | 0.3671 |
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+ | 3.532 | 2.6954 | 25000 | 3.5203 | 0.3682 |
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+ | 3.5265 | 2.8032 | 26000 | 3.5101 | 0.3689 |
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+ | 3.5199 | 2.9111 | 27000 | 3.5008 | 0.3701 |
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+ | 3.4397 | 3.0189 | 28000 | 3.4962 | 0.3712 |
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+ | 3.4407 | 3.1267 | 29000 | 3.4956 | 0.3714 |
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+ | 3.439 | 3.2345 | 30000 | 3.4888 | 0.3716 |
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+ | 3.442 | 3.3423 | 31000 | 3.4807 | 0.3729 |
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+ | 3.4697 | 3.4501 | 32000 | 3.4730 | 0.3735 |
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+ | 3.4414 | 3.5580 | 33000 | 3.4659 | 0.3740 |
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+ | 3.4581 | 3.6658 | 34000 | 3.4594 | 0.3748 |
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+ | 3.4443 | 3.7736 | 35000 | 3.4552 | 0.3750 |
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+ | 3.4688 | 3.8814 | 36000 | 3.4476 | 0.3759 |
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+ | 3.4379 | 3.9892 | 37000 | 3.4424 | 0.3766 |
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+ | 3.3758 | 4.0970 | 38000 | 3.4471 | 0.3766 |
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+ | 3.3779 | 4.2049 | 39000 | 3.4390 | 0.3775 |
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+ | 3.3926 | 4.3127 | 40000 | 3.4349 | 0.3780 |
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+ | 3.3863 | 4.4205 | 41000 | 3.4274 | 0.3788 |
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+ | 3.3751 | 4.5283 | 42000 | 3.4276 | 0.3791 |
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+ | 3.3713 | 4.6361 | 43000 | 3.4212 | 0.3792 |
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+ | 3.3752 | 4.7439 | 44000 | 3.4149 | 0.3801 |
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+ | 3.3971 | 4.8518 | 45000 | 3.4105 | 0.3804 |
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+ | 3.3827 | 4.9596 | 46000 | 3.4064 | 0.3809 |
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+ | 3.281 | 5.0674 | 47000 | 3.4081 | 0.3812 |
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+ | 3.3244 | 5.1752 | 48000 | 3.4115 | 0.3810 |
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+ | 3.3107 | 5.2830 | 49000 | 3.4038 | 0.3820 |
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+ | 3.3448 | 5.3908 | 50000 | 3.4003 | 0.3822 |
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+ | 3.328 | 5.4987 | 51000 | 3.3949 | 0.3826 |
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+ | 3.3385 | 5.6065 | 52000 | 3.3914 | 0.3832 |
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+ | 3.3391 | 5.7143 | 53000 | 3.3870 | 0.3835 |
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+ | 3.3426 | 5.8221 | 54000 | 3.3803 | 0.3839 |
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+ | 3.3064 | 5.9299 | 55000 | 3.3776 | 0.3846 |
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+ | 3.2644 | 6.0377 | 56000 | 3.3809 | 0.3842 |
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+ | 3.2645 | 6.1456 | 57000 | 3.3808 | 0.3848 |
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+ | 3.2683 | 6.2534 | 58000 | 3.3791 | 0.3847 |
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+ | 3.2755 | 6.3612 | 59000 | 3.3741 | 0.3852 |
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+ | 3.2883 | 6.4690 | 60000 | 3.3692 | 0.3860 |
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+ | 3.2676 | 6.5768 | 61000 | 3.3652 | 0.3865 |
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+ | 3.2796 | 6.6846 | 62000 | 3.3621 | 0.3865 |
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+ | 3.2743 | 6.7925 | 63000 | 3.3580 | 0.3871 |
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+ | 3.2868 | 6.9003 | 64000 | 3.3520 | 0.3877 |
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+ | 3.2052 | 7.0081 | 65000 | 3.3549 | 0.3877 |
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+ | 3.2286 | 7.1159 | 66000 | 3.3573 | 0.3875 |
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+ | 3.2146 | 7.2237 | 67000 | 3.3562 | 0.3876 |
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+ | 3.2266 | 7.3315 | 68000 | 3.3517 | 0.3883 |
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+ | 3.2398 | 7.4394 | 69000 | 3.3477 | 0.3888 |
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+ | 3.229 | 7.5472 | 70000 | 3.3430 | 0.3890 |
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+ | 3.2177 | 7.6550 | 71000 | 3.3402 | 0.3896 |
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+ | 3.2458 | 7.7628 | 72000 | 3.3347 | 0.3900 |
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+ | 3.2446 | 7.8706 | 73000 | 3.3325 | 0.3904 |
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+ | 3.2421 | 7.9784 | 74000 | 3.3279 | 0.3906 |
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+ | 3.1467 | 8.0863 | 75000 | 3.3343 | 0.3903 |
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+ | 3.1734 | 8.1941 | 76000 | 3.3348 | 0.3907 |
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+ | 3.1651 | 8.3019 | 77000 | 3.3305 | 0.3911 |
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+ | 3.1591 | 8.4097 | 78000 | 3.3285 | 0.3913 |
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+ | 3.1778 | 8.5175 | 79000 | 3.3245 | 0.3917 |
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+ | 3.181 | 8.6253 | 80000 | 3.3198 | 0.3920 |
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+ | 3.1852 | 8.7332 | 81000 | 3.3180 | 0.3924 |
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+ | 3.1894 | 8.8410 | 82000 | 3.3142 | 0.3927 |
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+ | 3.1641 | 8.9488 | 83000 | 3.3107 | 0.3931 |
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+ | 3.1285 | 9.0566 | 84000 | 3.3143 | 0.3929 |
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+ | 3.1236 | 9.1644 | 85000 | 3.3130 | 0.3931 |
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+ | 3.1094 | 9.2722 | 86000 | 3.3110 | 0.3936 |
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+ | 3.1165 | 9.3801 | 87000 | 3.3090 | 0.3937 |
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+ | 3.1203 | 9.4879 | 88000 | 3.3052 | 0.3940 |
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+ | 3.1332 | 9.5957 | 89000 | 3.3033 | 0.3942 |
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+ | 3.127 | 9.7035 | 90000 | 3.3015 | 0.3944 |
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+ | 3.1305 | 9.8113 | 91000 | 3.2995 | 0.3946 |
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+ | 3.128 | 9.9191 | 92000 | 3.2980 | 0.3948 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:4cdb7d56aa352844f89e5ce125116012e48bedb20d9f0030577a13803e187499
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  size 503128704
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:1a817222604f03105d72f4ea7b4b88d36c6ef033d44e2d36463fc4ae9cdae46c
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  size 503128704